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2020 – today
- 2024
[j50]Shivangi Nigam, Adarsh Prasad Behera, Shekhar Verma, P. Nagabhushan:
Deformity removal from handwritten text documents using variable cycle GAN. Int. J. Document Anal. Recognit. 27(4): 615-627 (2024)- [j49]Sanjay Kumar Sonbhadra
, Sonali Agarwal, P. Nagabhushan:
Pinball-OCSVM for Early-Stage COVID-19 Diagnosis with Limited Posteroanterior Chest X-Ray Images. Int. J. Pattern Recognit. Artif. Intell. 38(3): 2457002:1-2457002:29 (2024) - [j48]Harsha Putla, Chanakya Patibandla, Krishna Pratap Singh, P. Nagabhushan:
A Pilot Study of Observation Poisoning on Selective Reincarnation in Multi-Agent Reinforcement Learning. Neural Process. Lett. 56(3): 161 (2024) - [i26]Stanley Mugisha, Lynn tar Gutu, P. Nagabhushan:
An Improved Chicken Swarm Optimization Algorithm for Handwritten Document Image Enhancement. CoRR abs/2411.00802 (2024) - 2023
- [j47]Tejasvee Bisen, Mohammed Javed, P. Nagabhushan, Watanabe Osamu:
Segmentation-Less Extraction of Text and Non-Text Regions From JPEG 2000 Compressed Document Images Through Partial and Intelligent Decompression. IEEE Access 11: 20673-20687 (2023) - [j46]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Target-class guided sample length reduction and training set selection of univariate time-series. Appl. Intell. 53(6): 7056-7073 (2023) - [j45]Bulla Rajesh, Mohammed Javed, P. Nagabhushan:
FastSS: Fast and smooth segmentation of JPEG compressed printed text documents using DC and AC signal analysis. Multim. Tools Appl. 82(6): 8855-8881 (2023) - [j44]Shivangi Nigam, Adarsh Prasad Behera, Manas Gogoi, Shekhar Verma, P. Nagabhushan:
Strike off removal in Indic scripts with transfer learning. Neural Comput. Appl. 35(17): 12927-12943 (2023) - [j43]Tejasvee Bisen, Mohammed Javed, Shashank Kirtania, P. Nagabhushan:
DWT-CompCNN: deep image classification network for high throughput JPEG 2000 compressed documents. Pattern Anal. Appl. 26(4): 1641-1655 (2023) - [c69]Bulla Rajesh, Sk Mahafuz Zaman, Mohammed Javed, P. Nagabhushan:
CompTLL-UNet: Compressed Domain Text-Line Localization in Challenging Handwritten Documents Using Deep Feature Learning from JPEG Coefficients. ACPR (2) 2023: 88-101 - [i25]Tejasvee Bisen, Mohammed Javed, Shashank Kirtania, P. Nagabhushan:
DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents. CoRR abs/2306.01359 (2023) - [i24]Bulla Rajesh, Sk Mahafuz Zaman, Mohammed Javed, P. Nagabhushan:
CompTLL-UNet: Compressed Domain Text-Line Localization in Challenging Handwritten Documents using Deep Feature Learning from JPEG Coefficients. CoRR abs/2308.06142 (2023) - 2022
- [j42]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Learning target class eigen subspace (LTC-ES) via eigen knowledge grid. Turkish J. Electr. Eng. Comput. Sci. 30(4): 1337-1353 (2022) - [c68]Bulla Rajesh, Nandakishore Dusa, Mohammed Javed, Shiv Ram Dubey, P. Nagabhushan:
T2CI-GAN: Text to Compressed Image Generation Using Generative Adversarial Network. CVIP (2) 2022: 292-307 - [i23]Bulla Rajesh, Nandakishore Dusa, Mohammed Javed, Shiv Ram Dubey, P. Nagabhushan:
T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network. CoRR abs/2210.03734 (2022) - 2021
- [j41]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Learning Target Class Feature Subspace (LTC-FS) Using Eigenspace Analysis and N-ary Search-Based Autonomous Hyperparameter Tuning for OCSVM. Int. J. Pattern Recognit. Artif. Intell. 35(13): 2151015:1-2151015:29 (2021) - [c67]P. Nagabhushan, Sanjay Kumar Sonbhadra, Narinder Singh Punn, Sonali Agarwal:
Towards Machine Learning to Machine Wisdom: A Potential Quest. BDA 2021: 261-275 - [c66]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Target Class Supervised Sample Length and Training Sample Reduction of Univariate Time Series. IEA/AIE (2) 2021: 603-614 - [e3]Satish Kumar Singh, Partha Pratim Roy, Balasubramanian Raman, P. Nagabhushan:
Computer Vision and Image Processing - 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part I. Communications in Computer and Information Science 1376, Springer 2021, ISBN 978-981-16-1085-1 [contents] - [e2]Satish Kumar Singh, Partha Pratim Roy, Balasubramanian Raman, P. Nagabhushan:
Computer Vision and Image Processing - 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part II. Communications in Computer and Information Science 1377, Springer 2021, ISBN 978-981-16-1091-2 [contents] - [e1]Satish Kumar Singh, Partha Pratim Roy, Balasubramanian Raman, P. Nagabhushan:
Computer Vision and Image Processing - 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part III. Communications in Computer and Information Science 1378, Springer 2021, ISBN 978-981-16-1102-5 [contents] - 2020
- [j40]Bulla Rajesh, Mohammed Javed, P. Nagabhushan:
Automatic tracing and extraction of text-line and word segments directly in JPEG compressed document images. IET Image Process. 14(9): 1909-1919 (2020) - [j39]Shamshe Alam, Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
One-class support vector classifiers: A survey. Knowl. Based Syst. 196: 105754 (2020) - [j38]Kapil Mishra, Sannihith Kavala, Satish Kumar Singh, P. Nagabhushan:
Efficient collusion resistant multi-secret image sharing. Multim. Tools Appl. 79(43-44): 33233-33252 (2020) - [j37]Shamshe Alam, Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan, Muhammad Tanveer:
Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD). Pattern Recognit. Lett. 131: 268-276 (2020) - [c65]V. Vinay Kumar, P. Nagabhushan:
Appearance-Invariant Entry-Exit Matching Using Visual Soft Biometric Traits. CVIP (1) 2020: 260-269 - [c64]Bulla Rajesh, Mohammed Javed, P. Nagabhushan, Watanabe Osamu:
Segmentation of Text-Lines and Words from JPEG Compressed Printed Text Documents Using DCT Coefficients. DCC 2020: 389 - [i22]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Target specific mining of COVID-19 scholarly articles using one-class approach. CoRR abs/2004.11706 (2020) - [i21]Sonali Agarwal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, P. Nagabhushan, K. K. Soundra Pandian, Praveer Saxena:
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review. CoRR abs/2005.11507 (2020) - [i20]Mohammed Javed, P. Nagabhushan:
Automatic Page Segmentation Without Decompressing the Run-Length Compressed Text Documents. CoRR abs/2007.01142 (2020) - [i19]Seyed Saeid Mirkamali, P. Nagabhushan:
Depth-wise layering of 3d images using dense depth maps: a threshold based approach. CoRR abs/2010.01841 (2020) - [i18]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Early-stage COVID-19 diagnosis in presence of limited posteroanterior chest X-ray images via novel Pinball-OCSVM. CoRR abs/2010.08115 (2020)
2010 – 2019
- 2019
- [j36]Mohammed Javed, P. Nagabhushan, Bidyut B. Chaudhuri, Satish Kumar Singh:
Edge based enhancement of retinal images using an efficient JPEG-compressed domain technique. J. Intell. Fuzzy Syst. 36(1): 541-556 (2019) - [j35]Amarnath R, G. S. Sindhushree, P. Nagabhushan, Mohammed Javed:
Automatic localization and extraction of tables from handheld mobile-camera captured handwritten document images. J. Intell. Fuzzy Syst. 36(3): 2527-2544 (2019) - [c63]Bulla Rajesh, Mohammed Javed, P. Nagabhushan:
Automatic Text Line Segmentation Directly in JPEG Compressed Document Images. GCCE 2019: 1067-1068 - [i17]Amarnath R, P. Nagabhushan:
Text line Segmentation in Compressed Representation of Handwritten Document using Tunneling Algorithm. CoRR abs/1901.11477 (2019) - [i16]Bulla Rajesh, Mohammed Javed, P. Nagabhushan:
Automatic Text Line Segmentation Directly in JPEG Compressed Document Images. CoRR abs/1907.12219 (2019) - [i15]Vinay Kumar V, P. Nagabhushan:
Monitoring of people entering and exiting private areas using Computer Vision. CoRR abs/1908.00716 (2019) - [i14]Vinay Kumar V, P. Nagabhushan:
Appearance invariant Entry-Exit matching using visual soft biometric traits. CoRR abs/1909.05145 (2019) - [i13]Amarnath R, P. Nagabhushan, Mohammed Javed:
Word and character segmentation directly in run-length compressed handwritten document images. CoRR abs/1909.05146 (2019) - 2018
- [j34]Mohammed Javed, P. Nagabhushan, Bidyut B. Chaudhuri:
A review on document image analysis techniques directly in the compressed domain. Artif. Intell. Rev. 50(4): 539-568 (2018) - [c62]Amarnath R, P. Nagabhushan, Mohammed Javed:
Enabling Text-Line Segmentation in Run-Length Encoded Handwritten Document Image Using Entropy-Driven Incremental Learning. CVIP (1) 2018: 233-245 - [c61]V. Vinay Kumar, P. Nagabhushan, S. N. Roopa:
Entry-Exit Video Surveillance: A Benchmark Dataset. CVIP (1) 2018: 353-364 - [c60]Amarnath R, P. Nagabhushan, Mohammed Javed:
Line Detection in Run-Length Encoded Document Images using Monotonically Increasing Graph Model. ICACCI 2018: 644-649 - 2017
- [c59]Hashem Ghaleb, P. Nagabhushan, Umapada Pal:
Segmentation of offline handwritten Arabic text. ASAR 2017: 41-45 - [c58]Mohammed Javed, P. Nagabhushan, Bidyut B. Chaudhuri:
A comparative study of two recent word spotting techniques in the run-length compressed domain. ICACCI 2017: 824-830 - [i12]Amarnath R, P. Nagabhushan:
Spotting Separator Points at Line Terminals in Compressed Document Images for Text-line Segmentation. CoRR abs/1708.05545 (2017) - 2016
- [j33]Rachida Hannane, Abdessamad Elboushaki, Karim Afdel, P. Nagabhushan, Mohammed Javed:
An efficient method for video shot boundary detection and keyframe extraction using SIFT-point distribution histogram. Int. J. Multim. Inf. Retr. 5(2): 89-104 (2016) - [c57]Mohammed Javed, P. Nagabhushan, Bidyut Baran Chaudhuri:
Spotting of Keyword Directly in Run-Length Compressed Documents. CVIP (1) 2016: 367-376 - [c56]Mohammed Javed, P. Nagabhushan, Bidyut B. Chaudhuri:
Automatic Extraction of Text and Non-text Information Directly from Compressed Document Images. HIS 2016: 38-46 - 2015
- [j32]Seyed Saeid Mirkamali, P. Nagabhushan:
Object removal by depth-wise image inpainting. Signal Image Video Process. 9(8): 1785-1794 (2015) - [c55]Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri:
Automatic extraction of correlation-entropy features for text document analysis directly in run-length compressed domain. ICDAR 2015: 1-5 - [c54]Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri:
A direct approach for word and character segmentation in run-length compressed documents with an application to word spotting. ICDAR 2015: 216-220 - 2014
- [i11]Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri:
Direct Processing of Run Length Compressed Document Image for Segmentation and Characterization of a Specified Block. CoRR abs/1402.1971 (2014) - [i10]Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri:
Automatic Detection of Font Size Straight from Run Length Compressed Text Documents. CoRR abs/1402.4388 (2014) - [i9]V. Asha, Nagappa U. Bhajantri, P. Nagabhushan:
Texture Defect Detection in Gradient Space. CoRR abs/1403.2031 (2014) - [i8]Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri:
Extraction of Line Word Character Segments Directly from Run Length Compressed Printed Text Documents. CoRR abs/1403.7783 (2014) - [i7]Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri:
Extraction of Projection Profile, Run-Histogram and Entropy Features Straight from Run-Length Compressed Text-Documents. CoRR abs/1404.0627 (2014) - [i6]P. Nagabhushan, Mohammed Javed, B. B. Chaudhuri:
Entropy Computation of Document Images in Run-Length Compressed Domain. CoRR abs/1404.2014 (2014) - [i5]Abdessamad Elboushaki, Rachida Hannane, P. Nagabhushan, Mohammed Javed:
Automatic Removal of Marginal Annotations in Printed Text Document. CoRR abs/1408.2015 (2014) - [i4]Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri:
Direct Processing of Document Images in Compressed Domain. CoRR abs/1410.2959 (2014) - 2013
- [j31]Nagappa U. Bhajantri, Pradeep Kumar R, P. Nagabhushan:
Discriminatory Projection of Camouflaged Texture Through Line Masks. J. Inf. Process. Syst. 9(4): 660 (2013) - [c53]Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri:
Extraction of Projection Profile, Run-Histogram and Entropy Features Straight from Run-Length Compressed Text-Documents. ACPR 2013: 813-817 - [c52]Steven Lawrence Fernandes, G. Josemin Bala, P. Nagabhushan, S. K. Mandal:
Robust Face Recognition in the Presence of Noises and Blurring Effects by Fusing Appearance Based Techniques and Sparse Representation. ADCONS 2013: 84-89 - [c51]Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri:
Extraction of line-word-character segments directly from run-length compressed printed text-documents. NCVPRIPG 2013: 1-4 - [i3]V. Asha, Nagappa U. Bhajantri, P. Nagabhushan:
Periodicity Extraction using Superposition of Distance Matching Function and One-dimensional Haar Wavelet Transform. CoRR abs/1311.3808 (2013) - 2012
- [j30]V. Asha, Nagappa U. Bhajantri, P. Nagabhushan:
Similarity measures for automatic defect detection on patterned textures. Int. J. Inf. Commun. Technol. 4(2/3/4): 118-131 (2012) - [j29]Alireza Alaei, Umapada Pal, P. Nagabhushan:
Dataset and Ground Truth for Handwritten Text in Four Different Scripts. Int. J. Pattern Recognit. Artif. Intell. 26(4) (2012) - [j28]V. Asha, Nagappa U. Bhajantri, P. Nagabhushan:
Automatic Detection of Texture-defects using Texture-periodicity and Jensen-Shannon Divergence. J. Inf. Process. Syst. 8(2): 359-374 (2012) - [j27]V. Asha, P. Nagabhushan, Nagappa U. Bhajantri:
Automatic extraction of texture-periodicity using superposition of distance matching functions and their forward differences. Pattern Recognit. Lett. 33(5): 629-640 (2012) - [j26]Shivananda Nirmala, P. Nagabhushan:
Foreground text segmentation in complex color document images using Gabor filters. Signal Image Video Process. 6(4): 669-678 (2012) - [c50]Alireza Alaei, Umapada Pal, P. Nagabhushan:
A Comparative Study of Persian/Arabic Handwritten Character Recognition. ICFHR 2012: 123-128 - [c49]S. S. Mirkamali, P. Nagabhushan:
Depth-wise image inpainting. ICPR 2012: 141-144 - [c48]Syed Zakir Ali, P. Nagabhushan, R. Pradeep Kumar, Nisar Hundewale:
Sequence Compulsive Incremental Updating of Knowledge in Learning Management Systems. KMO 2012: 295-306 - [i2]V. Asha, Nagappa U. Bhajantri, P. Nagabhushan:
GLCM-based chi-square histogram distance for automatic detection of defects on patterned textures. CoRR abs/1212.0383 (2012) - [i1]V. Asha, Nagappa U. Bhajantri, P. Nagabhushan:
Automatic Detection of Texture Defects Using Texture-Periodicity and Gabor Wavelets. CoRR abs/1212.1329 (2012) - 2011
- [j25]V. Asha, Nagappa U. Bhajantri, P. Nagabhushan:
GLCM-based chi-square histogram distance for automatic detection of defects on patterned textures. Int. J. Comput. Vis. Robotics 2(4): 302-313 (2011) - [j24]V. Asha, Nagappa U. Bhajantri, P. Nagabhushan:
Automatic Detection of Defects on Periodically Patterned Textures. J. Intell. Syst. 20(3): 279-303 (2011) - [j23]Alireza Alaei, P. Nagabhushan, Umapada Pal:
Piece-wise painting technique for line segmentation of unconstrained handwritten text: a specific study with Persian text documents. Pattern Anal. Appl. 14(4): 381-394 (2011) - [j22]Alireza Alaei, Umapada Pal, P. Nagabhushan:
A new scheme for unconstrained handwritten text-line segmentation. Pattern Recognit. 44(4): 917-928 (2011) - [c47]S. S. Mirkamali, P. Nagabhushan:
Depth-Wise Multi-layered 3D Modeling. DCAI 2011: 407-414 - [c46]Alireza Alaei, P. Nagabhushan, Umapada Pal:
A Benchmark Kannada Handwritten Document Dataset and Its Segmentation. ICDAR 2011: 141-145 - [c45]Alireza Alaei, Umapada Pal, P. Nagabhushan, Fumitaka Kimura:
A Painting Based Technique for Skew Estimation of Scanned Documents. ICDAR 2011: 299-303 - [c44]Alireza Alaei, P. Nagabhushan, Umapada Pal:
A New Text-Line Alignment Approach Based on Piece-Wise Painting Algorithm for Handwritten Documents. ICDAR 2011: 324-328 - [c43]V. Asha, Nagappa U. Bhajantri, P. Nagabhushan:
Automatic Detection of Texture Defects using Texture-Periodicity and Chi-square Histogram Distance. IICAI 2011: 91-104 - [c42]V. Asha, P. Nagabhushan, Nagappa U. Bhajantri:
Unsupervised Detection of Texture Defects using Texture-Periodicity and Universal Quality Index. IICAI 2011: 206-217 - [c41]S. S. Mirkamali, P. Nagabhushan:
Depth-Wise Segmentation of a 3D Image Using its Depth Map: An Entropy-Based Approach. IICAI 2011: 1089-1099 - 2010
- [j21]P. Nagabhushan, Shivananda Nirmala:
Text Extraction in Complex Color Document Images for Enhanced Readability. Intell. Inf. Manag. 2(2): 120-133 (2010) - [c40]H. L. Shashirekha, S. Murali, P. Nagabhushan:
Using ontology for domain specific information retrieval. ICDIP 2010: 75463J - [c39]Alireza Alaei, P. Nagabhushan, Umapada Pal:
A New Two-Stage Scheme for the Recognition of Persian Handwritten Characters. ICFHR 2010: 130-135 - [c38]Alireza Alaei, P. Nagabhushan, Umapada Pal:
A Baseline Dependent Approach for Persian Handwritten Character Segmentation. ICPR 2010: 1977-1980
2000 – 2009
- 2009
- [j20]P. Nagabhushan, Shanmukhappa A. Angadi, Basavaraj S. Anami:
A soft computing model for mapping incomplete/approximate postal addresses to mail delivery points. Appl. Soft Comput. 9(2): 806-816 (2009) - [c37]Syed Zakir Ali, P. Nagabhushan, R. Pradeep Kumar:
Regression based Incremental Learning through Cluster Analysis of Temporal data. DMIN 2009: 375-381 - [c36]Shivananda Nirmala, P. Nagabhushan:
Separation of Foreground Text from Complex Background in Color Document Images. ICAPR 2009: 306-309 - [c35]Alireza Alaei, Umapada Pal, P. Nagabhushan:
Using Modified Contour Features and SVM Based Classifier for the Recognition of Persian/Arabic Handwritten Numerals. ICAPR 2009: 391-394 - [c34]Alireza Alaei, P. Nagabhushan, Umapada Pal:
Fine Classification of Unconstrained Handwritten Persian/Arabic Numerals by Removing Confusion amongst Similar Classes. ICDAR 2009: 601-605 - [c33]Shivananda Nirmala, P. Nagabhushan:
Text Extraction in Color Document Images having Complex Background. IICAI 2009: 1782-1793 - [c32]P. Nagabhushan, Alireza Alaei:
Unconstrained Handwritten Text-line Segmentation Using Morphological Operation and Thinning Algorithm. IICAI 2009: 2080-2091 - [c31]Shivananda Nirmala, P. Nagabhushan:
Foreground Text Extraction in Color Document Images for Enhanced Readability. PReMI 2009: 387-392 - 2008
- [j19]P. Bharathi, P. Nagabhushan, K. S. Jagannatha Rao:
Mathematical approach to understand the kinetics of α-synuclein aggregation: Relevance to Parkinson's disease. Comput. Biol. Medicine 38(10): 1084-1093 (2008) - 2007
- [j18]R. Pradeep Kumar, P. Nagabhushan:
Multiresolution Knowledge Mining using Wavelet Transform. Eng. Lett. 14(1): 206-221 (2007) - [j17]T. Vasudev, G. Hemantha Kumar, P. Nagabhushan:
Transformation of arc-form-text to linear-form-text suitable for OCR. Pattern Recognit. Lett. 28(16): 2343-2351 (2007) - [c30]R. Pradeep Kumar, P. Nagabhushan:
An Approach Based on Regression Line Features for Low Complexity Content Based Image Retrieval. ICCTA 2007: 600-604 - [c29]B. H. Shekar, G. Thippeswamy, P. Nagabhushan, D. S. Guru:
Polar-eigenspace: A Linear Transformation Invariant Model for Appearance Based Object / Face Recognition. IICAI 2007: 575-584 - [c28]P. Nagabhushan, R. Pradeep Kumar:
Histogram PCA. ISNN (2) 2007: 1012-1021 - 2006
- [j16]P. Nagabhushan, D. S. Guru, B. H. Shekar:
(2D)2 FLD: An efficient approach for appearance based object recognition. Neurocomputing 69(7-9): 934-940 (2006) - [j15]P. Shivakumara, G. Hemantha Kumar, D. S. Guru, P. Nagabhushan:
Sliding window based approach for document image mosaicing. Image Vis. Comput. 24(1): 94-100 (2006) - [j14]P. Nagabhushan, D. S. Guru, B. H. Shekar:
Visual learning and recognition of 3D objects using two-dimensional principal component analysis: A robust and an efficient approach. Pattern Recognit. 39(4): 721-725 (2006) - [c27]R. Pradeep Kumar, P. Nagabhushan:
AB Distance Based Histogram Clustering for Mining Multi-Channel EEG Data Using Wavesim Transform. IEEE ICCI 2006: 467-477 - [c26]B. H. Shekar, D. S. Guru, P. Nagabhushan:
Object Recognition Through the Principal Component Analysis of Spatial Relationship Amongst Lines. ACCV (1) 2006: 170-179 - [c25]R. Pradeep Kumar, P. Nagabhushan:
WaveSim Transform for Multi-channel Signal Data Mining Through Linear Regression PCA . ADMA 2006: 977-984 - [c24]Nagappa U. Bhajantri, P. Nagabhushan:
Camouflage Defect Identification: A Novel Approach. ICIT 2006: 145-148 - [c23]R. Pradeep Kumar, P. Nagabhushan, Ahlame Douzal Chouakria:
WaveSim and Adaptive WaveSim Transform for Subsequence Time-Series Clustering. ICIT 2006: 197-202 - [c22]R. Pradeep Kumar, P. Nagabhushan:
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization. DMIN 2006: 24-29 - [c21]P. Nagabhushan, Shanmukhappa A. Angadi, Basavaraj S. Anami:
A Fuzzy Symbolic Inference System for Postal Address Component Extraction and Labelling. FSKD 2006: 937-946 - [c20]R. Pradeep Kumar, P. Nagabhushan:
Wavesim transform - a new perspective of wavelet transform for temporal data clustering. GrC 2006: 592-595 - [c19]B. V. Dhandra, P. Nagabhushan, Mallikarjun Hangarge, Ravindra S. Hegadi, V. S. Malemath:
Script Identification Based on Morphological Reconstruction in Document Images. ICPR (2) 2006: 950-953 - [c18]B. H. Shekar, D. S. Guru, P. Nagabhushan:
Two-Dimensional Optimal Transform for Appearance Based Object Recognition. ICVGIP 2006: 650-661 - [c17]P. Nagabhushan, Sahana D. Gowda, R. K. Bharathi:
Unconstrained Tight Structure Extraction Using Voronoi Tesselation on Document Images. MLMTA 2006: 134-140 - 2005
- [j13]M. B. Sanjay Pande, P. Nagabhushan, Murlidhar L. Hegde, T. S. Sathyanarayana Rao, K. S. Jagannatha Rao:
An algorithmic approach to understand trace elemental homeostasis in serum samples of Parkinson disease. Comput. Biol. Medicine 35(6): 475-493 (2005) - [c16]B. H. Shekar, D. S. Guru, P. Nagabhushan:
Visual Learning and Recognition of 3-D Objects using Two Dimensional Fisher's Linear Discriminant Analysis: A Robust and an Efficient Approach. IICAI 2005: 3207-3218 - [c15]Lalitha Rangarajan, P. Nagabhushan:
Linear Regression for Dimensionality Reduction and Classification of Multi Dimensional Data. PReMI 2005: 193-199 - [c14]M. S. Dinesh, K. Chidananda Gowda, P. Nagabhushan:
Fuzzy-Symbolic Analysis for Classification of Symbolic Data. PReMI 2005: 338-343 - [c13]P. Nagabhushan, Shanmukhappa A. Angadi, Basavaraj S. Anami:
Symbolic Data Structure for Postal Address Representation and Address Validation Through Symbolic Knowledge Base. PReMI 2005: 388-394 - [c12]P. Nagabhushan, D. S. Guru, B. H. Shekar:
Eigen Transformation Based Edge Detector for Gray Images. PReMI 2005: 434-440 - 2004
- [j12]D. S. Guru, B. H. Shekar, P. Nagabhushan:
A simple and robust line detection algorithm based on small eigenvalue analysis. Pattern Recognit. Lett. 25(1): 1-13 (2004) - [j11]Lalitha Rangarajan, P. Nagabhushan:
Dimensionality reduction of multidimensional temporal data through regression. Pattern Recognit. Lett. 25(8): 899-910 (2004) - [j10]D. S. Guru, Bapu B. Kiranagi, P. Nagabhushan:
Multivalued type proximity measure and concept of mutual similarity value useful for clustering symbolic patterns. Pattern Recognit. Lett. 25(10): 1203-1213 (2004) - [j9]Lalitha Rangarajan, P. Nagabhushan:
Content driven dimensionality reduction at block level in the design of an efficient classifier for spatial multi spectral images. Pattern Recognit. Lett. 25(16): 1833-1844 (2004) - [c11]D. S. Guru, R. Dinesh, P. Nagabhushan:
Boundary Based Corner Detecion and Localization Using New "Cornerity" Index: A Robust Approach. CRV 2004: 417-423 - [c10]P. Shivakumara, G. Hemantha Kumar, D. S. Guru, P. Nagabhushan:
An Efficient Skew Estimation Technique for Binary Document Images Based on Boundary Growing and Linear Regression Analysis. ICONIP 2004: 659-665 - 2003
- [j8]D. S. Guru, P. Punitha, P. Nagabhushan:
Archival and retrieval of symbolic images: An invariant scheme based on triangular spatial relationship. Pattern Recognit. Lett. 24(14): 2397-2408 (2003) - [c9]P. Shivakumara, G. Hemantha Kumar, D. S. Guru, P. Nagabhushan:
Fourier Transform Based Column-Block and Row-Block Matching Procedure for Document Image Mosaicing. WILF 2003: 240-254 - 2002
- [c8]N. N. R. Ranga Suri, Dipti Deodhare, P. Nagabhushan:
Parallel Levenberg-Marquardt-Based Neural Network Training on Linux Clusters - A Case Study. ICVGIP 2002 - [c7]P. Nagabhushan, Basavaraj S. Anami, D. S. Guru:
Dictionary Supported Generation of English Text from Pitman Shorthand Scripted Phonetic Text. Language Engineering Conference 2002: 33 - 2001
- [j7]P. Nagabhushan, M. M. Manohara Pai:
Cognition of free space for planning the shortest path: A framed free space approach. Pattern Recognit. Lett. 22(9): 971-982 (2001) - [j6]D. S. Guru, P. Nagabhushan:
Triangular spatial relationship: a new approach for spatial knowledge representation. Pattern Recognit. Lett. 22(9): 999-1006 (2001) - [c6]P. Nagabhushan, S. Murali:
Pitman Shorthand Inspired Model for Plain Text Compression. ICDAR 2001: 322-327 - 2000
- [j5]P. Nagabhushan, D. S. Guru:
Incremental circle transform and eigenvalue analysis for object recognition: an integrated approach. Pattern Recognit. Lett. 21(11): 989-998 (2000) - [c5]P. Nagabhushan, Basavaraj S. Anami:
Handling Diphtong and Triphone Sysmbols: Useful in Automatic English Text Generation from Pitman Shorthand Language Document. AIMSA 2000: 252-260
1990 – 1999
- 1999
- [j4]P. Nagabhushan, Radhika M. Pai:
Modified region decomposition method and optimal depth decision tree in the recognition of non-uniform sized characters - An experimentation with Kannada characters. Pattern Recognit. Lett. 20(14): 1467-1475 (1999) - 1998
- [j3]N. V. Subba Reddy, P. Nagabhushan:
A three-dimensional neural network model for unconstrained handwritten numeral recognition: a new approach. Pattern Recognit. 31(5): 511-516 (1998) - [j2]N. V. Subba Reddy, P. Nagabhushan:
A connectionist expert system model for conflict resolution in unconstrained handwritten numeral recognition. Pattern Recognit. Lett. 19(2): 161-169 (1998) - 1996
- [c4]S. Jagannathan, P. Nagabhushan, K. Chidananda Gowda, R. K. Rajangam:
A number theory based image coding. ANZIIS 1996: 147-150 - [c3]N. V. Subba Reddy, P. Nagabhushan, K. Chidananda Gowda:
A neural network based expert system model for conflict resolution. ANZIIS 1996: 229-232 - [c2]H. N. S. Prakash, P. Nagabhushan, K. Chidananda Gowda:
A framework to estimate natural classes in remotely sensed data. ANZIIS 1996: 264-266 - [c1]N. V. Subba Reddy, P. Nagabhushan:
A Neural Network Based Multiple Expert System Model for Conflict Resolution. MVA 1996: 494-497 - 1995
- [j1]P. Nagabhushan, K. Chidananda Gowda, Edwin Diday:
Dimensionality reduction of symbolic data. Pattern Recognit. Lett. 16(2): 219-223 (1995)
Coauthor Index
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