PUBLICATIONS

Ph.D. THESIS

"Batch Mode Active Learning for Multimedia Pattern Recognition", School of Computing, Informatics and Decision Systems Engineering, Arizona State University, April 2013


PATENTS

  • S. Chakraborty, O. Tickoo, R. Iyer, "Method, Apparatus and System for Online Video Summarization", US Provisional Patent Application 14/477,595 (patent pending)
  • V. Balasubramanian, S. Chakraborty, S. Panchanathan, "On the Usefulness of the Largest Eigenvalue of the Probability Difference Matrix as a Measure of Discrepancy in Online Active Learning", US Provisional Patent Application M13-093P (patent pending)
  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, J. Ye, “Active Batch Selection for Training a Data Classifier with Guaranteed Performance Bounds”, US Provisional Patent Application 61/740,315 (patent pending)
  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, "Apparatus, System and Method for Adaptive Batch Mode Active Learning for Evolving a Classifier", US Patent Application No. 13/484,696 (patent pending) 


JOURNALS / BOOK CHAPTERS / MAGAZINE ARTICLES

  • S. Chakraborty, O. Tickoo, R. Iyer, S. Panchanathan, "Submodularity for Video Summarization: Three Birds with One Stone", International Journal of Computer Vision (IJCV) (Under Review)
  • S. Panchanathan, M. Moore, H. Venkateswara, S. Chakraborty, T. McDaniel, "Computer Vision for Augmentative and Alternative Communication", Assistive Computer Vision, Elsevier (Under Review)
  • H. Venkateswara, S. Chakraborty, S. Panchanathan, "Deep Learning Systems for Domain Adaptation in Computer Vision", IEEE Signal Processing Magazine (SPM), Special Issue on Deep Learning for Visual Understanding (To Appear)
  • S. Panchanathan, S. Chakraborty, T. McDaniel et al., "Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies", International Journal of Semantic Computing (IJSC), 2017 (Special Issue on Best of IEEE ISM 2016) 
  • S. Panchanathan, S. Chakraborty, T. McDaniel, R. Tadayon, "Person-Centered Multimedia Computing: A New Paradigm Inspired by Assistive and Rehabilitative Applications",  IEEE Multimedia Magazine (MM), 2016. (2017 IEEE Multimedia Best Department Article Award)

  • S. Panchanathan, S. Chakraborty, T. McDaniel, "Social Interaction Assistant: A Person-Centered Approach to Enrich Social Interactions for Individuals with Visual Impairments", IEEE Journal on Selected Topics in Signal Processing (J-STSP), 2016. 

  • S. Chakraborty, V. Balasubramanian, Q. Sun, S. Panchanathan, J. Ye, “Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015.

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, “Adaptive Batch Mode Active Learning”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2015.

  • V. Balasubramanian, S. Chakraborty, S. Panchanathan, "Conformal Predictions for Information Fusion: A Comparative Study of P-Value Combination Methods", Annals of Mathematics and Artificial Intelligence (AMAI), 2014. 

  • V. Balasubramanian, S. Chakraborty, S.S. Ho, H. Wechsler, S. Panchanathan, “Active Learning using Conformal Predictions”, Morgan Kaufmann Publ. (Elsevier), 2014. 

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, "Generalized Batch Mode Active Learning for Face-based Biometric Recognition", Pattern Recognition Journal, 2012.
  •  S. Marcel, C. McCool, S. Chakraborty, V. Balasubramanian, S. Panchanathan et al. “On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation”, Lecture Notes on Computer Science (LNCS), 2010.

 
 CONFERENCES AND WORKSHOPS

  • S. Chakraborty, J. Stokes, L. Xiao, D. Zhou, M. Marinescu, A. Thomas, "Hierarchical Learning for Automated Malware Classification", IEEE Military Communications Conference (MILCOM), 2017
  • H. Ranganathan, H. Venkateswara, S. Chakraborty, S. Panchanathan, "Deep Active Learning for Image Classification", IEEE International Conference on Image Processing (ICIP), 2017
  • H. Venkateswara, J. Eusebio, S. Chakraborty, S. Panchanathan, "Deep Hashing Network for Unsupervised Domain Adaptation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
  • H. Venkateswara, S. Chakraborty, T. McDaniel, S. Panchanathan, "Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation", Workshop on Knowledge-based Techniques for Problem Solving and Reasoning (KnowPros) at the Association for the Advancement of Artificial Intelligence (AAAI), 2017
  • S. Panchanathan, S. Chakraborty, T. McDaniel et al. "Smart Stadium for Smart Living: Enriching the Fan Experience", IEEE International Symposium on Multimedia (ISM), 2016 (Invited Paper)
  • H. Venkateswara, S. Chakraborty, S. Panchanathan, "Nonlinear Embedding Transform for Unsupervised Domain Adaptation",  Workshop on Transferring and Adapting Source Knowledge in Computer Vision (TASK-CV) at the European Conference on Computer Vision (ECCV), 2016.
  • H. Ranganathan, S. Chakraborty, S. Panchanathan, "Transfer of Multi-modal Emotion Features ion Deep Belief Networks", Asilomar Conference on Signals, Systems and Computers, 2016.
  • H. Ranganathan, S. Chakraborty, S. Panchanathan, "Multi-modal Emotion Recognition using Deep Learning Architectures", IEEE Winter Conference on Applications of Computer Vision (WACV), 2016. 
  • S. Chakraborty, O. Tickoo, R. Iyer, "Towards Distributed Video Summarization", ACM Multimedia Conference (ACM-MM), 2015.
  • S. Chakraborty, V. Balasubramanian, A. Ravi Sankar, S. Panchanathan, J. Ye, "BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification", ACM Conference on Knowledge Discovery and Data Mining (KDD), 2015.
  • S. Chakraborty, O. Tickoo, R. Iyer, "Adaptive Keyframe Selection for Video Summarization", IEEE Winter Conference on Applications of Computer Vision (WACV), 2015. 
  • S. Chakraborty, J. Zhou, V. Balasubramanian, S. Panchanathan, I. Davidson, J. Ye, "Active Matrix Completion", IEEE International Conference on Data Mining (ICDM), 2013.
  • S. Chakraborty, H. Venkateswara, V. Balasubramanian, S. Panchanathan, "Active Batch Selection for Fuzzy Classification in Facial Expression Recognition", IEEE International Conference on Machine Learning and Applications (ICMLA), 2011.
  • R. Chattopadhyay, S. Chakraborty, V. Balasubramanian, S. Panchanathan, "Optimization-based Domain Adaptation towards Person-Adaptive Classification Models", IEEE International Conference on Machine Learning and Applications (ICMLA), 2011.
  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, "Optimal Batch Selection for Active Learning in Multi-label Classification", ACM Multimedia Conference (ACM-MM), 2011.   
  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, "Dynamic Batch Mode Active Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, "An Optimization Based Framework for Dynamic Batch Mode Active Learning", Workshop on Optimization for Machine Learning at Neural Information Processing Systems (NIPS), 2010.
  • V. Balasubramanian, S. Chakraborty,  S. Krishna, S. Panchanathan, “Enhancing Social Interactions of Individuals with Visual Impairments: A Case Study for Assistive Machine Learning”, Workshop on Machine Learning for Assistive Technologies at Neural Information Processing Systems (NIPS), 2010.
  • V. Balasubramanian, S. Chakraborty,  S. Panchanathan, "Multiple Kernel Learning for Efficient Conformal Predictions", Workshop on New Directions in Multiple Kernel Learning at Neural Information Processing Systems (NIPS), 2010.
  •  S. Chakraborty, V. Balasubramanian, S. Panchanathan, "Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics", IEEE International Conference on Machine Learning and Applications (ICMLA) 2010. 
  • V. Balasubramanian,  J. Ye, S.  Chakraborty,   S.  Panchanathan,  "Kernel  Learning  for Efficiency Maximization in the Conformal Predictions Framework", IEEE   International Conference on Machine Learning and Applications (ICMLA) 2010.
  •  S. Chakraborty, V. Balasubramanian, S. Panchanathan, "Learning from Summaries of Videos: Applying Batch Mode Active Learning to Face-based Biometrics", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Biometrics, 2010. 
  •  S. Chakraborty, V. Balasubramanian, S. Panchanathan, "Batch Mode Active Learning for Biometric Recognition", SPIE International Conference on Biometric Technology for Human Identification, SPIE Defense, Security & Sensing, 2010. 
  • V. Balasubramanian, S. Chakraborty, S. Krishna, S. Panchanathan, "Human-Centered Machine Learning in a Social Interaction Assistant for Individuals with Visual Impairments", Symposium    on    Assistive    Machine    Learning    for    People    with Disabilities at Neural Information Processing Systems (NIPS), 2009.
  • V. Balasubramanian, S. Chakraborty, S. Panchanathan, "Online Active Learning using Conformal Predictions", Workshop on Analysis and Design of Algorithms for Interactive Machine Learning at Neural Information Processing Systems (NIPS), 2009.  
  • V. Balasubramanian, S. Chakraborty, S. Panchanathan. "Generalized Query by Transduction for Online Active Learning", IEEE International Conference on Computer Vision (ICCV), Workshop on Online Learning for Computer Vision, 2009.
  • V. Balasubramanian, S. Chakraborty, S Panchanathan, “Multiple Cue Integration in Transductive Confidence Machines for Head Pose Classification”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Online Learning for Classification, 2008. 
  • G. Gupta, S.K. Saha, S. Chakraborty, C. Mazumdar. "Document Frauds: Identification and Linking Fake Documents to Scanners and Printers" IEEE International Conference on Computing, Theory and Applications (ICCTA), 2007. 


 TECHNICAL REPORTS

  • V. Balasubramanian, S. Chakraborty, S. Panchanathan, "Confidence Estimation in Pattern Classification: An Analysis with Head Pose Estimation", Technical Report TR-09-12, School of Computing, Informatics and Decision Systems Engineering, Arizona State University, 2009.

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