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2020 – today
- 2023
[c7]Yufei Zhang, Rui Zhao, Ziyi Zhao, Naveen Ramakrishnan, Manoj Aggarwal, Gerard Medioni, Qiang Ji:
Robust Partial Fingerprint Recognition. CVPR Workshops 2023: 1011-1020- 2022
- [c6]Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan:
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems. CVPR Workshops 2022: 4389-4397 - [i5]Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan:
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems. CoRR abs/2203.05983 (2022) - [i4]Steven A. Grosz, Joshua J. Engelsma, Rajeev Ranjan, Naveen Ramakrishnan, Manoj Aggarwal, Gerard Medioni, Anil K. Jain:
Minutiae-Guided Fingerprint Embeddings via Vision Transformers. CoRR abs/2210.13994 (2022)
2010 – 2019
- 2019
- [j3]Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu
, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Shaker H. Ali El-Sappagh, Kyung-Sup Kwak, Mohamed H. Ali:
Benchmarking large-scale data management for Internet of Things. J. Supercomput. 75(12): 8207-8230 (2019) - 2018
- [c5]Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Mohamed H. Ali:
Distributed NoSQL Data Stores: Performance Analysis and a Case Study. IEEE BigData 2018: 1937-1944 - 2017
- [c4]Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah:
Deep learning on symbolic representations for large-scale heterogeneous time-series event prediction. ICASSP 2017: 5970-5974 - 2016
- [i3]Sauptik Dhar, Naveen Ramakrishnan, Vladimir Cherkassky, Mohak Shah:
Universum Learning for Multiclass SVM. CoRR abs/1609.09162 (2016) - [i2]Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan, Mohak Shah:
Deep Symbolic Representation Learning for Heterogeneous Time-series Classification. CoRR abs/1612.01254 (2016) - 2015
- [c3]Sauptik Dhar, Congrui Yi, Naveen Ramakrishnan, Mohak Shah:
ADMM based scalable machine learning on Spark. IEEE BigData 2015: 1174-1182 - [c2]Naveen Ramakrishnan, Rumi Ghosh:
Distributed dynamic elastic nets: A scalable approach for regularization in dynamic manufacturing environments. IEEE BigData 2015: 2752-2761 - [i1]Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah:
Comparative Study of Caffe, Neon, Theano, and Torch for Deep Learning. CoRR abs/1511.06435 (2015) - 2013
- [c1]Rakesh Chalasani, José C. Príncipe, Naveen Ramakrishnan:
A fast proximal method for convolutional sparse coding. IJCNN 2013: 1-5 - 2011
- [j2]Naveen Ramakrishnan, Emre Ertin, Randolph L. Moses:
Gossip-Based Algorithm for Joint Signature Estimation and Node Calibration in Sensor Networks. IEEE J. Sel. Top. Signal Process. 5(4): 665-673 (2011) - 2010
- [j1]Naveen Ramakrishnan, Emre Ertin, Randolph L. Moses:
Enhancement of Coupled Multichannel Images Using Sparsity Constraints. IEEE Trans. Image Process. 19(8): 2115-2126 (2010)
Coauthor Index
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