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2020 – today
- 2024
[j37]Usman Muhammad, Jorma Laaksonen, Djamila Romaissa Beddiar, Mourad Oussalah:
Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection. Int. J. Comput. Vis. 132(12): 5759-5782 (2024)- [j36]Abduljalil Radman
, Jorma Laaksonen:
AS-Net: active speaker detection using deep audio-visual attention. Multim. Tools Appl. 83(28): 72027-72042 (2024) - [j35]Selen Pehlivan, Jorma Laaksonen:
Temporal teacher with masked transformers for semi-supervised action proposal generation. Mach. Vis. Appl. 35(3): 36 (2024) - [j34]Usman Muhammad, Mourad Oussalah, Jorma Laaksonen:
Saliency-based video summarization for face anti-spoofing. Pattern Recognit. Lett. 185: 190-196 (2024) - [c159]Omkar Chakradhar Thawakar, Abdelrahman M. Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Fahad Shahbaz Khan:
XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models. BioNLP@ACL 2024: 440-448 - [c158]Pranav Arora, Selen Pehlivan, Jorma Laaksonen:
Text-to-Multimodal Retrieval with Bimodal Input Fusion in Shared Cross-Modal Transformer. LREC/COLING 2024: 15823-15834 - [c157]Yuvrajsinh Chudasama, Usman Muhammad, Ville Mayra, Florent Guiotte, Jorma Laaksonen:
A Comparison of Hyperspectral Super-Resolution Techniques for Boreal Forest Imagery. IGARSS 2024: 1226-1230 - [c156]Florent Guiotte, Joel Kostensalo, Jorma Laaksonen:
Mesh Surface And Morphological Hierarchies For Individual Tree Detection And Segmentation From LiDAR Data. IGARSS 2024: 8650-8654 - [c155]Abduljalil Radman, Jorma Laaksonen:
AV-PEA: Parameter-Efficient Adapter for Audio-Visual Multimodal Learning. VISIGRAPP (2): VISAPP 2024: 730-737 - [i29]Peng Zheng, Dehong Gao, Deng-Ping Fan, Li Liu, Jorma Laaksonen, Wanli Ouyang, Nicu Sebe:
Bilateral Reference for High-Resolution Dichotomous Image Segmentation. CoRR abs/2401.03407 (2024) - [i28]Sara Ghaboura, Ahmed Heakl, Omkar Thawakar, Ali Husain Salem Abdulla Alharthi, Ines Riahi, Abduljalil Saif, Jorma Laaksonen, Fahad Shahbaz Khan, Salman H. Khan, Rao Muhammad Anwer:
CAMEL-Bench: A Comprehensive Arabic LMM Benchmark. CoRR abs/2410.18976 (2024) - 2023
- [j33]Selen Pehlivan, Jorma Laaksonen:
Improved action proposals using fine-grained proposal features with recurrent attention models. J. Vis. Commun. Image Represent. 90: 103709 (2023) - [c154]Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Person Image Synthesis via Denoising Diffusion Model. CVPR 2023: 5968-5976 - [c153]Selen Pehlivan, Jorma Laaksonen:
Anchor-Free Action Proposal Network with Uncertainty Estimation. ICME 2023: 1853-1858 - [c152]Usman Muhammad, Md. Ziaul Hoque, Mourad Oussalah, Jorma Laaksonen:
Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing. IPTA 2023: 1-6 - [c151]Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan:
Cross-Modulated Few-Shot Image Generation for Colorectal Tissue Classification. MICCAI (3) 2023: 128-137 - [c150]Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Shahbaz Khan:
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers. MICCAI (8) 2023: 613-623 - [c149]Zixin Guo, Tzu-Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Jorma Laaksonen:
PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting. SIGIR 2023: 2261-2265 - [c148]Tzu-Jui Julius Wang, Jorma Laaksonen, Tomas Langer, Heikki Arponen, Tom E. Bishop:
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision. WACV 2023: 1073-1083 - [i27]Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Shahbaz Khan:
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers. CoRR abs/2303.12073 (2023) - [i26]Omkar Thawakar, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Video Instance Segmentation in an Open-World. CoRR abs/2304.01200 (2023) - [i25]Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan:
Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification. CoRR abs/2304.01992 (2023) - [i24]Omkar Thawakar, Abdelrahman M. Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Fahad Shahbaz Khan:
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models. CoRR abs/2306.07971 (2023) - [i23]Usman Muhammad, Md. Ziaul Hoque, Mourad Oussalah, Jorma Laaksonen:
Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing. CoRR abs/2307.02858 (2023) - [i22]Zixin Guo, Tzu-Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Jorma Laaksonen:
PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting. CoRR abs/2307.07341 (2023) - [i21]Usman Muhammad, Mourad Oussalah, Md. Ziaul Hoque, Jorma Laaksonen:
Saliency-based Video Summarization for Face Anti-spoofing. CoRR abs/2308.12364 (2023) - [i20]Usman Muhammad, Mourad Oussalah, Jorma Laaksonen:
Semi-Supervised learning for Face Anti-Spoofing using Apex frame. CoRR abs/2309.04958 (2023) - 2022
- [j32]Pasquale Lisena, Jorma Laaksonen, Raphaël Troncy:
Understanding videos with face recognition: a complete pipeline and applications. Multim. Syst. 28(6): 2147-2159 (2022) - [j31]Matti Mottus, Phu Pham, Eelis Halme, Matthieu Molinier, Hai Cu, Jorma Laaksonen:
TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [c147]Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann, Jorma Laaksonen, Mikko Kurimo:
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and Its Intensity. COLING 2022: 6875-6886 - [c146]Tamás Grósz, Noora Kallioniemi, Harri Kiiskinen, Kimmo Laine, Anssi Moisio, Tommi Römpötti, Anja Virkkunen, Hannu Salmi, Mikko Kurimo, Jorma Laaksonen:
Tracing Signs of Urbanity in the Finnish Fiction Film of the 1950s: Toward a Multimodal Analysis of Audiovisual Data. DHNB 2022: 63-78 - [c145]Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg:
DoodleFormer: Creative Sketch Drawing with Transformers. ECCV (17) 2022: 338-355 - [c144]Zixin Guo, Tzu-Jui Julius Wang, Jorma Laaksonen:
Post-Attention Modulator for Dense Video Captioning. ICPR 2022: 1536-1542 - [c143]Zixin Guo, Tzu-Jui Julius Wang, Jorma Laaksonen:
CLIP4IDC: CLIP for Image Difference Captioning. AACL/IJCNLP (2) 2022: 33-42 - [c142]Jin Xie, Rao Muhammad Anwer, Hisham Cholakkal, Jing Nie, Jiale Cao, Jorma Laaksonen, Fahad Shahbaz Khan:
Learning a Dynamic Cross-Modal Network for Multispectral Pedestrian Detection. ACM Multimedia 2022: 4043-4052 - [i19]Zixin Guo, Tzu-Jui Julius Wang, Jorma Laaksonen:
CLIP4IDC: CLIP for Image Difference Captioning. CoRR abs/2206.00629 (2022) - [i18]Tzu-Jui Julius Wang, Jorma Laaksonen, Tomas Langer, Heikki Arponen, Tom E. Bishop:
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision. CoRR abs/2210.13591 (2022) - [i17]Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann, Jorma Laaksonen, Mikko Kurimo:
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and its Intensity. CoRR abs/2211.01889 (2022) - [i16]Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Person Image Synthesis via Denoising Diffusion Model. CoRR abs/2211.12500 (2022) - 2021
- [j30]Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen:
Compact Deep Color Features for Remote Sensing Scene Classification. Neural Process. Lett. 53(2): 1523-1544 (2021) - [c141]Sabine Braun, Kim Starr, Jaleh Delfani, Liisa Tiittula, Jorma Laaksonen, Karel Braeckman, Dieter Van Rijsselbergen, Sasha Lagrillière, Lauri Saarikoski:
When Worlds Collide: AI-Created, Human-Mediated Video Description Services and the User Experience. HCI (42) 2021: 147-167 - [c140]Matti Mottus, Matthieu Molinier, Eelis Halme, Hai Cu, Jorma Laaksonen:
Patch Size Selection for Analysis of Sub-Meter Resolution Hyperspectral Imagery of Forests. IGARSS 2021: 2035-2038 - [c139]Alison Reboud, Ismail Harrando, Jorma Laaksonen, Raphaël Troncy:
Exploring Multimodality, Perplexity and Explainability for Memorability Prediction. MediaEval 2021 - [i15]Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg:
DoodleFormer: Creative Sketch Drawing with Transformers. CoRR abs/2112.03258 (2021) - 2020
- [j29]Tinka Valentijn, Jacopo Margutti, Marc van den Homberg, Jorma Laaksonen:
Multi-Hazard and Spatial Transferability of a CNN for Automated Building Damage Assessment. Remote. Sens. 12(17): 2839 (2020) - [j28]Jussi Tarvainen, Jorma Laaksonen, Tapio Takala:
Film Mood and Its Quantitative Determinants in Different Types of Scenes. IEEE Trans. Affect. Comput. 11(2): 313-326 (2020) - [c138]Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen:
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models. BMVC 2020 - [c137]Alison Reboud, Ismail Harrando, Jorma Laaksonen, Raphaël Troncy:
Predicting Media Memorability with Audio, Video, and Text representations. MediaEval 2020 - [c136]Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris, Mohammad Hosseini:
AI4TV 2020: 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery. ACM Multimedia 2020: 4756-4757 - [c135]Ismail Harrando, Alison Reboud, Pasquale Lisena, Raphaël Troncy, Jorma Laaksonen, Anja Virkkunen, Mikko Kurimo:
Using Fan-Made Content, Subtitles and Face Recognition for Character-Centric Video Summarization. TRECVID 2020 - [c134]Jorma Laaksonen, Zixin Guo:
PicSOM Experiments in TRECVID 2020. TRECVID 2020 - [e3]Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris, Mohammad Hosseini:
AI4TV '20: Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery, Seattle, WA, USA, October 2, 2020. ACM 2020, ISBN 978-1-4503-8146-8 [contents] - [i14]Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen:
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models. CoRR abs/2008.07832 (2020)
2010 – 2019
- 2019
- [c133]Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Nazar Zaki:
Multi-stream Convolutional Networks for Indoor Scene Recognition. CAIP (1) 2019: 196-208 - [c132]Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen:
Deep Contextual Attention for Human-Object Interaction Detection. ICCV 2019: 5693-5701 - [c131]Tzu-Jui Julius Wang, Jorma Laaksonen, Yi-Ping Liao, Bo-Zong Wu, Shih-Yun Shen:
A Multi-Task Bayesian Deep Neural Net for Detecting Life-Threatening Infant Incidents From Head Images. ICIP 2019: 3006-3010 - [c130]Alison Reboud, Ismail Harrando, Jorma Laaksonen, Danny Francis, Raphaël Troncy, Héctor Laria Mantecón:
Combining Textual and Visual Modeling for Predicting Media Memorability. MediaEval 2019 - [c129]Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris:
AI4TV 2019: 1st International Workshop on AI for Smart TV Content Production, Access and Delivery. ACM Multimedia 2019: 2716-2717 - [c128]Héctor Laria Mantecón, Jorma Laaksonen, Danny Francis, Benoit Huet:
PicSOM and EURECOM Experiments in TRECVID 2019. TRECVID 2019 - [e2]Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris:
Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and Delivery, AI4TV@MM 2019, Nice, France, October 21, 2019. ACM 2019, ISBN 978-1-4503-6917-6 [contents] - [i13]Aditya Surikuchi, Jorma Laaksonen:
Character-Centric Storytelling. CoRR abs/1909.07863 (2019) - [i12]Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen:
Deep Contextual Attention for Human-Object Interaction Detection. CoRR abs/1910.07721 (2019) - 2018
- [j27]Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen:
Image and Video Captioning with Augmented Neural Architectures. IEEE Multim. 25(2): 34-46 (2018) - [j26]Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen:
Scale coding bag of deep features for human attribute and action recognition. Mach. Vis. Appl. 29(1): 55-71 (2018) - [c127]Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen:
Two-Stream Part-Based Deep Representation for Human Attribute Recognition. ICB 2018: 90-97 - [c126]Mats Sjöberg, Hamed R. Tavakoli, Zhicun Xu, Héctor Laria Mantecón, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2018. TRECVID 2018 - [c125]Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Mérialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, Raúl Vázquez:
The MeMAD Submission to the WMT18 Multimodal Translation Task. WMT (shared task) 2018: 603-611 - [i11]Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Mérialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, Raúl Vázquez:
The MeMAD Submission to the WMT18 Multimodal Translation Task. CoRR abs/1808.10802 (2018) - 2017
- [j25]Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu:
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features. Neurocomputing 244: 10-18 (2017) - [j24]Satoru Ishikawa, Jorma Laaksonen:
Uni- and multimodal methods for single- and multi-label recognition. Multim. Tools Appl. 76(21): 22405-22423 (2017) - [c124]Julius Wang, Hamed R. Tavakoli, Jorma Laaksonen:
Fixation Prediction in Videos Using Unsupervised Hierarchical Features. CVPR Workshops 2017: 2225-2232 - [c123]Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen:
Saliency Revisited: Analysis of Mouse Movements Versus Fixations. CVPR 2017: 6354-6362 - [c122]Iftikhar Ahmad, Petri Rantanen, Pekka Sillberg, Jorma Laaksonen, Shuhua Liu, Thomas Forss, Aqdas Malik, Marko Nieminen, Rakshith Shetty, Satoru Ishikawa, Jarno Kallio, Jukka P. Saarinen, Moncef Gabbouj, Jari Soini:
VisualLabel: An Integrated Multimedia Content Management and Access Framework. EJC 2017: 321-342 - [c121]Hamed R. Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen:
Paying Attention to Descriptions Generated by Image Captioning Models. ICCV 2017: 2506-2515 - [c120]Satoru Ishikawa, Jorma Laaksonen, Juha Karhunen:
Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map. IJCNN 2017: 1305-1312 - [c119]Jussi Tarvainen, Jorma Laaksonen, Tapio Takala:
Computational and Perceptual Determinants of Film Mood in Different Types of Scenes. ISM 2017: 185-192 - [c118]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen:
TEX-Nets: Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition. ICMR 2017: 125-132 - [c117]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen:
Top-Down Deep Appearance Attention for Action Recognition. SCIA (1) 2017: 297-309 - [i10]Hamed Rezazadegan Tavakoli, Jorma Laaksonen, Esa Rahtu:
Investigating Natural Image Pleasantness Recognition using Deep Features and Eye Tracking for Loosely Controlled Human-computer Interaction. CoRR abs/1704.02218 (2017) - [i9]Hamed Rezazadegan Tavakoli, Jorma Laaksonen:
Prominent Object Detection and Recognition: A Saliency-based Pipeline. CoRR abs/1704.07402 (2017) - [i8]Hamed Rezazadegan Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen:
Can Saliency Information Benefit Image Captioning Models? CoRR abs/1704.07434 (2017) - [i7]Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen:
Saliency Revisited: Analysis of Mouse Movements versus Fixations. CoRR abs/1705.10546 (2017) - [i6]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Matthieu Molinier, Jorma Laaksonen:
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification. CoRR abs/1706.01171 (2017) - 2016
- [c116]Hamed Rezazadegan Tavakoli, Jorma Laaksonen:
Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models. ACCV Workshops (1) 2016: 287-302 - [c115]Satoru Ishikawa, Jorma Laaksonen:
Comparing and combining unimodal methods for multimodal recognition. CBMI 2016: 1-6 - [c114]Mohamed Soliman, Hamed Rezazadegan Tavakoli, Jorma Laaksonen:
Towards gaze-based video annotation. IPTA 2016: 1-5 - [c113]Hamed Rezazadegan Tavakoli, Hanieh Poostchi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski:
Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations. ISVC (2) 2016: 576-585 - [c112]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen:
Combining Holistic and Part-based Deep Representations for Computational Painting Categorization. ICMR 2016: 339-342 - [c111]Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen:
Exploiting Scene Context for Image Captioning. iV&L-MM@MM 2016: 1-8 - [c110]Rakshith Shetty, Jorma Laaksonen:
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation. ACM Multimedia 2016: 1073-1076 - [c109]Iman Alikhani, Hamed Rezazadegan Tavakoli, Esa Rahtu, Jorma Laaksonen:
On the Contribution of Saliency in Visual Tracking. VISIGRAPP (4: VISAPP) 2016: 17-21 - [i5]Rakshith Shetty, Jorma Laaksonen:
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation. CoRR abs/1608.04959 (2016) - [i4]Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu:
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features. CoRR abs/1610.06449 (2016) - [i3]Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen:
Scale Coding Bag of Deep Features for Human Attribute and Action Recognition. CoRR abs/1612.04884 (2016) - 2015
- [j23]Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen:
Compact color-texture description for texture classification. Pattern Recognit. Lett. 51: 16-22 (2015) - [c108]Olli Philippe Lautenbacher, Liisa Tiittula, Maija Hirvonen, Jorma Laaksonen, Mikko Kurimo:
Towards Reliable Automatic Multimodal Content Analysis. VL@EMNLP 2015: 6-7 - [c107]Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen:
Deep Semantic Pyramids for Human Attributes and Action Recognition. SCIA 2015: 341-353 - [c106]Satoru Ishikawa, Rao Muhammad Anwer, Markus Koskela, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2015. TRECVID 2015 - [i2]Rakshith Shetty, Jorma Laaksonen:
Video captioning with recurrent networks based on frame- and video-level features and visual content classification. CoRR abs/1512.02949 (2015) - 2014
- [j22]Jussi Tarvainen, Mats Sjöberg, Stina Westman, Jorma Laaksonen, Pirkko Oittinen:
Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments. IEEE Trans. Multim. 16(8): 2085-2098 (2014) - [c105]Mats Sjöberg, Jorma Laaksonen:
Using semantic features to improve large-scale visual concept detection. CBMI 2014: 1-6 - [c104]Ehsan Amid, Annamaria Mesaros, Kalle J. Palomäki, Jorma Laaksonen, Mikko Kurimo:
Unsupervised feature extraction for multimedia event detection and ranking using audio content. ICASSP 2014: 5939-5943 - [c103]Ville Viitaniemi, Matti Karppa, Jorma Laaksonen:
2D Appearance Based Techniques for Tracking the Signer Configuration in Sign Language Video Recordings. ICIAR (2) 2014: 29-38 - [c102]Ville Viitaniemi, Matti Karppa, Jorma Laaksonen:
Experiments on Recognising the Handshape in Blobs Extracted from Sign Language Videos. ICPR 2014: 2584-2589 - [c101]Matti Karppa, Ville Viitaniemi, Marcos Luzardo, Jorma Laaksonen, Tommi Jantunen:
SLMotion - An extensible sign language oriented video analysis tool. LREC 2014: 1886-1891 - [c100]Ville Viitaniemi, Tommi Jantunen, Leena Savolainen, Matti Karppa, Jorma Laaksonen:
S-pot - a benchmark in spotting signs within continuous signing. LREC 2014: 1892-1897 - [c99]Markus Koskela, Jorma Laaksonen:
Convolutional Network Features for Scene Recognition. ACM Multimedia 2014: 1169-1172 - [c98]Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Rao Muhammad Anwer, Jorma Laaksonen, Erkki Oja:
PicSOM Experiments in TRECVID 2014. TRECVID 2014 - [i1]Zakria Hussain, Arto Klami, Jussi Kujala, Alex Po Leung, Kitsuchart Pasupa, Peter Auer, Samuel Kaski, Jorma Laaksonen, John Shawe-Taylor:
PinView: Implicit Feedback in Content-Based Image Retrieval. CoRR abs/1410.0471 (2014) - 2013
- [c97]Antti Ajanki, Markus Koskela, Jorma Laaksonen, Samuel Kaski:
Adaptive timeline interface to personal history data. ICMI 2013: 229-236 - [c96]He Zhang, Zhirong Yang, Mehmet Gönen, Markus Koskela, Jorma Laaksonen, Timo Honkela, Erkki Oja:
Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. ICONIP (3) 2013: 166-175 - [c95]Mats Sjöberg, Markus Koskela, Satoru Ishikawa, Jorma Laaksonen:
Large-scale visual concept detection with explicit kernel maps and power mean SVM. ICMR 2013: 239-246 - [c94]Marcos Luzardo, Matti Karppa, Jorma Laaksonen, Tommi Jantunen:
Head Pose Estimation for Sign Language Video. SCIA 2013: 349-360 - [c93]Ville Viitaniemi, Matti Karppa, Jorma Laaksonen, Tommi Jantunen:
Detecting Hand-Head Occlusions in Sign Language Video. SCIA 2013: 361-372 - [c92]Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Jorma Laaksonen, Erkki Oja, Ehsan Amid, Kalle J. Palomäki, Annamaria Mesaros, Mikko Kurimo:
PicSOM Experiments in TRECVID 2013. TRECVID 2013 - 2012
- [c91]Mats Sjöberg, Markus Koskela, Satoru Ishikawa, Jorma Laaksonen:
Real-time large-scale visual concept detection with linear classifiers. ICPR 2012: 421-424 - [c90]Matti Karppa, Tommi Jantunen, Ville Viitaniemi, Jorma Laaksonen, Birgitta Burger, Danny De Weerdt:
Comparing computer vision analysis of signed language video with motion capture recordings. LREC 2012: 2421-2425 - [c89]Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja:
PicSOM Experiments in TRECVID 2012. TRECVID 2012 - 2011
- [j21]Antti Ajanki, Mark Billinghurst, Hannes Gamper, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Teemu Ruokolainen, Timo Tossavainen:
An augmented reality interface to contextual information. Virtual Real. 15(2-3): 161-173 (2011) - [c88]He Zhang, Teemu Ruokolainen, Jorma Laaksonen, Christina Hochleitner, Rudolf Traunmüller:
Gaze- and Speech-Enhanced Content-Based Image Retrieval in Image Tagging. ICANN (2) 2011: 373-380 - [c87]He Zhang, Mats Sjöberg, Jorma Laaksonen, Erkki Oja:
A Multimodal Information Collector for Content-Based Image Retrieval System. ICONIP (3) 2011: 737-746 - [c86]He Zhang, Eimontas Augilius, Timo Honkela, Jorma Laaksonen, Hannes Gamper, Henok Alene:
Analyzing Emotional Semantics of Abstract Art Using Low-Level Image Features. IDA 2011: 413-423 - [c85]Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja:
PicSOM Experiments in TRECVID 2011. TRECVID 2011 - [c84]Timo Honkela, Jorma Laaksonen, Hannele Törrö, Juhani Tenhunen:
Media Map: A Multilingual Document Map with a Design Interface. WSOM 2011: 247-256 - [c83]Mats Sjöberg, Jorma Laaksonen:
Analysing the Structure of Semantic Concepts in Visual Databases. WSOM 2011: 338-347 - [e1]Jorma Laaksonen, Timo Honkela:
Advances in Self-Organizing Maps - 8th International Workshop, WSOM 2011, Espoo, Finland, June 13-15, 2011. Proceedings. Lecture Notes in Computer Science 6731, Springer 2011, ISBN 978-3-642-21565-0 [contents] - 2010
- [c82]Ville Viitaniemi, Jorma Laaksonen:
Region Matching Techniques for Spatial Bag of Visual Words Based Image Category Recognition. ICANN (1) 2010: 531-540 - [c81]Mats Sjöberg, Markus Koskela, Ville Viitaniemi, Jorma Laaksonen:
PicSOM Experiments in ImageCLEF RobotVision. ICPR Contests 2010: 190-199 - [c80]Mats Sjöberg, Markus Koskela, Milen Chechev, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2010. TRECVID 2010 - [c79]Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Kitsuchart Pasupa, John Shawe-Taylor:
Pinview: Implicit Feedback in Content-Based Image Retrieval. WAPA 2010: 51-57
2000 – 2009
- 2009
- [c78]Ville Viitaniemi, Jorma Laaksonen:
Spatial extensions to bag of visual words. CIVR 2009 - [c77]Philip Prentis, Mats Sjöberg, Markus Koskela, Jorma Laaksonen:
Image Theft Detection with Self-Organising Maps. ICANN (1) 2009: 495-504 - [c76]Ville Viitaniemi, Jorma Laaksonen:
Representing Images with chi2 Distance Based Histograms of SIFT Descriptors. ICANN (2) 2009: 694-703 - [c75]Eero Kurimo, Leena Lepistö, Jarno Nikkanen, Juuso Grén, Iivari Kunttu, Jorma Laaksonen:
The Effect of Motion Blur and Signal Noise on Image Quality in Low Light Imaging. SCIA 2009: 81-90 - [c74]Zhirong Yang, Jorma Laaksonen:
Informative Laplacian Projection. SCIA 2009: 359-368 - [c73]Markus Koskela, Mats Sjöberg, Jorma Laaksonen:
Improving Automatic Video Retrieval with Semantic Concept Detection. SCIA 2009: 480-489 - [c72]Ville Viitaniemi, Jorma Laaksonen:
Combining Local Feature Histograms of Different Granularities. SCIA 2009: 636-645 - [c71]Mats Sjöberg, Ville Viitaniemi, Markus Koskela, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2009. TRECVID 2009 - [c70]Mats Sjöberg, Jorma Laaksonen:
Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood. WSOM 2009: 281-289 - 2008
- [j20]Mats Sjöberg, Jorma Laaksonen, Timo Honkela, Matti Pöllä:
Inferring semantics from textual information in multimedia retrieval. Neurocomputing 71(13-15): 2576-2586 (2008) - [j19]Zhirong Yang, Jorma Laaksonen:
Principal whitened gradient for information geometry. Neural Networks 21(2-3): 232-240 (2008) - [c69]Marcin Blachnik, Jorma Laaksonen:
Image Classification by Histogram Features Created with Learning Vector Quantization. ICANN (1) 2008: 827-836 - [c68]Nobuo Matsuda, Jorma Laaksonen, Fumiaki Tajima, Hideaki Sato:
Classification of Fundus Images for Diagnosing Glaucoma by Self-Organizing Map and Learning Vector Quantization. ICONIP (2) 2008: 703-710 - [c67]Markus Koskela, Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2008. TRECVID 2008 - [c66]Ville Viitaniemi, Jorma Laaksonen:
Experiments on Selection of Codebooks for Local Image Feature Histograms. VISUAL 2008: 126-137 - [c65]Ville Viitaniemi, Jorma Laaksonen:
Techniques for Image Classification, Object Detection and Object Segmentation. VISUAL 2008: 231-234 - [c64]Ville Viitaniemi, Mats Sjöberg, Markus Koskela, Jorma Laaksonen:
Exploiting Temporal and Inter-concept Co-occurrence Structure to Detect High-Level Features in Broadcast Videos. WIAMIS 2008: 12-15 - 2007
- [j18]Zhirong Yang, Jorma Laaksonen:
Multiplicative updates for non-negative projections. Neurocomputing 71(1-3): 363-373 (2007) - [j17]Zhirong Yang, Zhijian Yuan, Jorma Laaksonen:
Projective Non-Negative Matrix Factorization with Applications to Facial Image Processing. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1353-1362 (2007) - [j16]Matti Aksela, Jorma Laaksonen:
Adaptive combination of adaptive classifiers for handwritten character recognition. Pattern Recognit. Lett. 28(1): 136-143 (2007) - [j15]Ville Viitaniemi, Jorma Laaksonen:
Evaluating the performance in automatic image annotation: Example case by adaptive fusion of global image features. Signal Process. Image Commun. 22(6): 557-568 (2007) - [j14]Matthieu Molinier, Jorma Laaksonen, Tuomas Häme:
Detecting Man-Made Structures and Changes in Satellite Imagery With a Content-Based Information Retrieval System Built on Self-Organizing Maps. IEEE Trans. Geosci. Remote. Sens. 45(4): 861-874 (2007) - [j13]Markus Koskela, Alan F. Smeaton, Jorma Laaksonen:
Measuring Concept Similarities in Multimedia Ontologies: Analysis and Evaluations. IEEE Trans. Multim. 9(5): 912-922 (2007) - [c63]Ramunas Girdziusas, Jorma Laaksonen:
How Marginal Likelihood Inference Unifies Entropy, Correlation and SNR-Based Stopping in Nonlinear Diffusion Scale-Spaces. ACCV (1) 2007: 811-820 - [c62]Ville Viitaniemi, Jorma Laaksonen:
Evaluating Performance of Automatic Image Annotation: Example Case by Fusing Global Image Features. CBMI 2007: 251-258 - [c61]Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández-Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín-Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu:
Overview of the ImageCLEF 2007 Object Retrieval Task. CLEF 2007: 445-471 - [c60]Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández-Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín-Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu:
Overview of the ImageCLEF 2007 Object Retrieval Task. CLEF (Working Notes) 2007 - [c59]Zhirong Yang, Jorma Laaksonen:
Face Recognition Using Parzenfaces. ICANN (2) 2007: 200-209 - [c58]Ramunas Girdziusas, Jorma Laaksonen:
When is a Discrete Diffusion a Scale-Space? ICCV 2007: 1-6 - [c57]Matthieu Molinier, Jorma Laaksonen, Yrjö Rauste, Tuomas Häme:
Detecting changes in polarimetric SAR data with content-based image retrieval. IGARSS 2007: 2390-2393 - [c56]Zhirong Yang, Jorma Laaksonen:
Approximated Geodesic Updates with Principal Natural Gradients. IJCNN 2007: 1320-1325 - [c55]Markus Koskela, Mats Sjöberg, Jorma Laaksonen, Ville Viitaniemi, Hannes Muurinen:
Rushes summarization with self-organizing maps. TVS 2007: 45-49 - [c54]Ville Viitaniemi, Jorma Laaksonen:
Improving the Accuracy of Global Feature Fusion Based Image Categorisation. SAMT 2007: 1-14 - [c53]Zhirong Yang, Jorma Laaksonen:
Regularized Neighborhood Component Analysis. SCIA 2007: 253-262 - [c52]Hannes Muurinen, Jorma Laaksonen:
Video Segmentation and Shot Boundary Detection Using Self-Organizing Maps. SCIA 2007: 770-779 - [c51]Markus Koskela, Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen, Philip Prentis:
PicSOM Experiments in TRECVID 2007. TRECVID 2007 - [c50]Ville Viitaniemi, Jorma Laaksonen:
Empirical Investigations on Benchmark Tasks for Automatic Image Annotation. VISUAL 2007: 93-104 - 2006
- [j12]Matti Aksela, Jorma Laaksonen:
Using diversity of errors for selecting members of a committee classifier. Pattern Recognit. 39(4): 608-623 (2006) - [c49]Ville Viitaniemi, Jorma Laaksonen:
Techniques for Still Image Scene Classification and Object Detection. ICANN (2) 2006: 35-44 - [c48]Mats Sjöberg, Jorma Laaksonen, Matti Pöllä, Timo Honkela:
Retrieval of Multimedia Objects by Combining Semantic Information from Visual and Textual Descriptors. ICANN (2) 2006: 75-83 - [c47]Zhirong Yang, Jorma Laaksonen:
A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction. ICANN (2) 2006: 330-339 - [c46]Markus Koskela, Jorma Laaksonen:
Semantic Concept Detection from News Videos with Self-Organizing Maps. AIAI 2006: 591-599 - [c45]Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen, Timo Honkela:
Analysis of Semantic Information Available in an Image Collection Augmented with Auxiliary Data. AIAI 2006: 600-608 - [c44]Matthieu Molinier, Jorma Laaksonen, Tuomas Häme:
A Self-Organizing Map Framework for Detection of Man-Made Structures and Changes in Satellite Imagery. IGARSS 2006: 1-4 - [c43]Ville Viitaniemi, Jorma Laaksonen:
Use of Image Regions in Context-Adaptive Image Classification. SAMT 2006: 169-183 - [c42]Mats Sjöberg, Hannes Muurinen, Jorma Laaksonen, Markus Koskela:
PicSOM Experiments in TRECVID 2006. TRECVID 2006 - 2005
- [c41]Markus Koskela, Jorma Laaksonen:
Semantic Annotation of Image Groups with Self-organizing Maps. CIVR 2005: 518-527 - [c40]Ramunas Girdziusas, Jorma Laaksonen:
Optimal Stopping and Constraints for Diffusion Models of Signals with Discontinuities. ECML 2005: 576-583 - [c39]Ramunas Girdziusas, Jorma Laaksonen:
Jacobi Alternative to Bayesian Evidence Maximization in Diffusion Filtering. ICANN (2) 2005: 247-252 - [c38]Mats Sjöberg, Jorma Laaksonen:
Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps. ICANN (2) 2005: 841-846 - [c37]Matti Aksela, Jorma Laaksonen:
On Adaptive Confidences for Critic-Driven Classifier Combining. ICAPR (1) 2005: 71-80 - [c36]Zhirong Yang, Jorma Laaksonen:
Partial Relevance in Interactive Facial Image Retrieval. ICAPR (2) 2005: 216-225 - [c35]Ramunas Girdziusas, Jorma Laaksonen:
Use of Input Deformations with Brownian Motion Filters for Discontinuous Regression. ICAPR (1) 2005: 219-228 - [c34]Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang:
The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176 - [c33]Zhirong Yang, Jorma Laaksonen:
Interactive Retrieval in Facial Image Database Using Self-Organizing Maps. MVA 2005: 112-115 - [c32]Zhirong Yang, Jorma Laaksonen:
Approximated Classification in Interactive Facial Image Retrieval. SCIA 2005: 770-779 - [c31]Ramunas Girdziusas, Jorma Laaksonen:
Optimal Ratio of Lamé Moduli with Application to Motion of Jupiter Storms. SCIA 2005: 1096-1106 - [c30]Markus Koskela, Jorma Laaksonen, Mats Sjöberg, Hannes Muurinen:
PicSOM Experiments in TRECVID 2005. TRECVID 2005 - 2004
- [j11]Jorma Laaksonen, Markus Koskela, Erkki Oja:
Class distributions on SOM surfaces for feature extraction and object retrieval. Neural Networks 17(8-9): 1121-1133 (2004) - [c29]Timo Ojala, Markus Koskela, Esa Matinmikko, Mika Rautiainen, Jorma Laaksonen, Erkki Oja:
Task-Based User Evaluation of Content-Based Image Database Browsing Systems. CIVR 2004: 234-242 - [c28]Markus Koskela, Jorma Laaksonen, Erkki Oja:
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps. CIVR 2004: 508-516 - [c27]Ramunas Girdziusas, Jorma Laaksonen:
Gaussian Process Regression with Fluid Hyperpriors. ICONIP 2004: 567-572 - [c26]Markus Koskela, Jorma Laaksonen, Erkki Oja:
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval. ICPR (2) 2004: 1005-1009 - 2003
- [j10]Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas:
Methods for adaptive combination of classifiers with application to recognition of handwritten characters. Int. J. Document Anal. Recognit. 6(1): 23-41 (2003) - [c25]Mika Rummukainen, Jorma Laaksonen, Markus Koskela:
An Efficiency Comparison of Two Content-Based Image Retrieval Systems, GIFT and PicSOM. CIVR 2003: 500-509 - [c24]Markus Koskela, Jorma Laaksonen:
Using Long-Term Learning to Improve Efficiency of Content-Based Image Retrieval. PRIS 2003: 72-79 - [c23]Mats Sjöberg, Jorma Laaksonen, Ville Viitaniemi:
Using Image Segments in PicSOM CBIR System. SCIA 2003: 1106-1113 - 2002
- [j9]Sami S. Brandt, Jorma Laaksonen, Erkki Oja:
Statistical Shape Features for Content-Based Image Retrieval. J. Math. Imaging Vis. 17(2): 187-198 (2002) - [j8]Vuokko Vuori, Jorma Laaksonen, Jari Kangas:
Influence of erroneous learning samples on adaptation in on-line handwriting recognition. Pattern Recognit. 35(4): 915-925 (2002) - [j7]Jorma Laaksonen, Markus Koskela, Erkki Oja:
PicSOM-self-organizing image retrieval with MPEG-7 content descriptors. IEEE Trans. Neural Networks 13(4): 841-853 (2002) - [c22]Markus Koskela, Jorma Laaksonen, Erkki Oja:
Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. ICANN 2002: 981-986 - [c21]Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas:
Class-confidence critic combining. IWFHR 2002: 201-206 - [c20]Vuokko Vuori, Jorma Laaksonen:
A Comparison of Techniques for Automatic Clustering of Handwritten Characters. ICPR (3) 2002: 168-171 - [c19]Markus Koskela, Jorma Laaksonen, Erkki Oja:
Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps. ICPR (2) 2002: 1049-1052 - [c18]Markus Koskela, Jorma Laaksonen, Erkki Oja:
MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System. VISUAL 2002: 247-258 - 2001
- [j6]Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas:
Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters. Int. J. Document Anal. Recognit. 3(3): 150-159 (2001) - [j5]Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja:
Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval. Pattern Anal. Appl. 4(2-3): 140-152 (2001) - [c17]Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas:
Application of Adaptive Committee Classifiers in On-Line Character Recognition. ICAPR 2001: 270-279 - [c16]Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas:
Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set. ICDAR 2001: 501-507 - [c15]Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas:
Rejection Methods for an Adaptive Committee Classifier. ICDAR 2001: 982-986 - [c14]Sami Laakso, Jorma Laaksonen, Markus Koskela, Erkki Oja:
Self-Organizing Maps of Web Link Information. WSOM 2001: 146-151 - 2000
- [j4]Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja:
PicSOM - content-based image retrieval with self-organizing maps. Pattern Recognit. Lett. 21(13-14): 1199-1207 (2000) - [c13]Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas:
Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters. ICPR 2000: 2331-2334 - [c12]Sami S. Brandt, Jorma Laaksonen, Erkki Oja:
Statistical Shape Features in Content-Based Image Retrieval. ICPR 2000: 6062-6066 - [c11]Markus Koskela, Jorma Laaksonen, Sami Laakso, Erkki Oja:
Evaluating the Performance of Content-Based Image Retrieval Systems. VISUAL 2000: 430-441
1990 – 1999
- 1999
- [c10]Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas:
On-line Adaptation in Recognition of Handwritten Alphanumeric Characters. ICDAR 1999: 792-795 - [c9]Jorma Laaksonen, Matti Aksela, Erkki Oja, Jari Kangas:
Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters. ICDAR 1999: 796-799 - [c8]Jorma Laaksonen, Markus Koskela, Erkki Oja:
PicSOM: self-organizing maps for content-based image retrieval. IJCNN 1999: 2470-2473 - [c7]Jorma Laaksonen, Matti Aksela, Erkki Oja, Jari Kangas:
Adaptive local subspace classifier in on-line recognition of handwritten characters. IJCNN 1999: 2812-2815 - [c6]Jorma Laaksonen, Markus Koskela, Erkki Oja:
Content-Based Image Retrieval Using Self-Organizing Maps. VISUAL 1999: 541-548 - 1998
- [j3]Jorma Laaksonen, Erkki Oja:
Learning Subspace Classifiers and Error-Corrective Feature Extraction. Int. J. Pattern Recognit. Artif. Intell. 12(4): 423-436 (1998) - 1997
- [b1]Jorma Laaksonen:
Subspace classifiers in recognition of handwritten digits. Aalto University, Espoo, Finland, 1997 - [j2]Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja:
Neural and statistical classifiers-taxonomy and two case studies. IEEE Trans. Neural Networks 8(1): 5-17 (1997) - [c5]Jorma Laaksonen:
Local Subspace Classifier. ICANN 1997: 637-642 - 1996
- [c4]Jorma Laaksonen, Erkki Oja:
Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification. ICANN 1996: 227-232 - [c3]Jorma Laaksonen, Erkki Oja:
Classification with learning k-nearest neighbors. ICNN 1996: 1480-1483 - [c2]Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja:
Neural network and statistical perspectives of classification. ICPR 1996: 286-290 - 1991
- [c1]Jorma Laaksonen:
A new reliability-based phoneme segmentation method for the "neural" phonetic typewriter. EUROSPEECH 1991: 97-100 - 1990
- [j1]Jari Kangas, Teuvo Kohonen, Jorma Laaksonen:
Variants of self-organizing maps. IEEE Trans. Neural Networks 1(1): 93-99 (1990)
Coauthor Index
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