Avishek Saha

According to our database, Avishek Saha authored at least 25 papers between 2007 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

MBA: Mini-Batch AUC Optimization.

San Gultekin, Avishek Saha, Adwait Ratnaparkhi, John W. Paisley

IEEE Trans. Neural Networks Learn. Syst., 2020

2018

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data.

Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Süleyman Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang

IEEE Trans. Knowl. Data Eng., 2018

Context-aware block-based motion estimation algorithm for multimedia internet of things (IoT) platform.

Avishek Saha, Young-Woon Lee, Young-Sup Hwang, Kostas E. Psannis, Byung-Gyu Kim

Pers. Ubiquitous Comput., 2018

2016

Modeling 4D pathological changes by leveraging normative models.

Bo Wang, Marcel Prastawa, Andrei Irimia, Avishek Saha, Wei Liu, Sheng-Yang M. Goh, Paul M. Vespa, John D. Van Horn, Guido Gerig

Comput. Vis. Image Underst., 2016

Efficient local stereo matching technique using weighted guided image filtering (WGIF).

Gwang-Soo Hong, Min-Su Koo, Avishek Saha, Byung-Gyu Kim

Proceedings of the IEEE International Conference on Consumer Electronics, 2016

2015

ND²AV: N-dimensional data analysis and visualization analysis for the National Ignition Campaign.

Peer-Timo Bremer, Dan Maljovec, Avishek Saha, Bei Wang, Jim Gaffney, Brian K. Spears, Valerio Pascucci

Comput. Vis. Sci., 2015

2014

N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data.

Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang

CoRR, 2014

A Geometric Algorithm for Scalable Multiple Kernel Learning.

John Moeller, Parasaran Raman, Suresh Venkatasubramanian, Avishek Saha

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Characterization and modeling of PIDX parallel I/O for performance optimization.

Sidharth Kumar, Avishek Saha, Venkatram Vishwanath, Philip H. Carns, John A. Schmidt, Giorgio Scorzelli, Hemanth Kolla, Ray W. Grout, Robert Latham, Robert B. Ross, Michael E. Papka, Jacqueline Chen, Valerio Pascucci

Proceedings of the International Conference for High Performance Computing, 2013

Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database.

Bo Wang, Marcel Prastawa, Avishek Saha, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Valerio Pascucci, Guido Gerig

Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

2012

Some Models and Measures for Learning on a Budget.

Avishek Saha

PhD thesis, 2012

Protocols for Learning Classifiers on Distributed Data.

Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Fast Multiple Kernel Learning With Multiplicative Weight Updates

John Moeller, Parasaran Raman, Avishek Saha, Suresh Venkatasubramanian

CoRR, 2012

Efficient Protocols for Distributed Classification and Optimization.

Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian

Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012

2011

A neighborhood elimination approach for block matching in motion estimation.

Avishek Saha, Jayanta Mukherjee, Shamik Sural

Signal Process. Image Commun., 2011

Online Learning of Multiple Tasks and Their Relationships.

Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Active Supervised Domain Adaptation.

Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian, Scott L. DuVall

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Co-regularization Based Semi-supervised Domain Adaptation.

Hal Daumé III, Abhishek Kumar, Avishek Saha

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Sequential Dependencies.

Lukasz Golab, Howard J. Karloff, Flip Korn, Avishek Saha, Divesh Srivastava

Proc. VLDB Endow., 2009

Metric Functional Dependencies.

Nick Koudas, Avishek Saha, Divesh Srivastava, Suresh Venkatasubramanian

Proceedings of the 25th International Conference on Data Engineering, 2009

2008

New pixel-decimation patterns for block matching in motion estimation.

Avishek Saha, Jayanta Mukherjee, Shamik Sural

Signal Process. Image Commun., 2008

2007

SKIP Prediction for Fast Rate Distortion Optimization in H.264.

Avishek Saha, Kallol Mallick, Jayanta Mukherjee, Shamik Sural

IEEE Trans. Consumer Electron., 2007

Toward Memory-efficient Design of Video Encoders for Multimedia Applications.

Avishek Saha, Santosh Ghosh, Shamik Sural, Jayanta Mukherjee

Proceedings of the 2007 IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2007), 2007

Speed-area optimized FPGA implementation for Full Search Block Matching.

Santosh Ghosh, Avishek Saha

Proceedings of the 25th International Conference on Computer Design, 2007

A Speed-Area Optimization of Full Search Block Matching Hardware with Applications in High-Definition TVs (HDTV).

Avishek Saha, Santosh Ghosh

Proceedings of the High Performance Computing, 2007