Patents- Classification Using Correntropy
Jose Principe and Abhishek Singh US Patent PCT/US11/044932 - Adaptive Systems Using Correntropy
Jose Principe, Abhishek Singh and Weifeng Liu US Patent PCT/US11/024435
- Algorithms for Entropy and Correntropy Adaptation with Applications to Linear Systems
Deniz Erdogmus, Seungju Han and Abhishek Singh Chapter 4, Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives. Jose C. Principe. Springer 2010.
Journal Articles- Simultaneous Super-Resolution and Denoising of Natural Images
Abhishek Singh, Fatih Porikli and Narendra Ahuja IEEE Transactions on Pattern Analysis and Machine Intelligence. (submitted)
- Learning Ramp Transformation for Single Image Super-Resolution
Abhishek Singh and Narendra Ahuja Computer Vision and Image Understanding, 2015
- The C-Loss Function for Pattern Classification
Abhishek Singh and Jose Principe Pattern Recognition, vol. 47, issue 1, pp. 441-453, Jan 2014.
- Information Theoretic Learning with Adaptive Kernels
Abhishek Singh and Jose Principe Signal Processing, vol. 91, issue 2, pp. 203-213, Feb 2011. Listed among Most Viewed Articles of the journal
- Segmentation of Remotely Sensed Images Using Resampling Based Bayesian Learning
Abhishek Singh, Padmini Jaikumar and Suman K. Mitra Journal of Pattern Recognition Research, vol. 5, no. 1, pp. 119-130, 2010.
Conference Proceedings- Single Image Super-Resolution Using Transformed Self-Exemplars
Jia-Bin Huang, Abhishek Singh and Narendra Ahuja IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)
- Super-Resolution Using Sub-Band Self-Similarity
Abhishek Singh and Narendra Ahuja Asian Conference on Computer Vision (ACCV 2014)
- Super-Resolving Noisy Images
Abhishek Singh, Fatih Porikli and Narendra Ahuja IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014)
- Sub-band Energy Constraints for Self-Similarity Based Super-Resolution
Abhishek Singh and Narendra Ahuja International Conference on Pattern Recognition (ICPR 2014)
- Single Image Super-Resolution Using Adaptive Domain Transformation
Abhishek Singh and Narendra Ahuja IEEE International Conference on Image Processing (ICIP 2013)
- On Stochastic Gradient Descent and Quadratic Mutual Information for Multimodal Image Registration
Abhishek Singh and Narendra Ahuja IEEE International Conference on Image Processing (ICIP 2013)
- Exploiting Ramp Structures for Improving Optical Flow Estimation
Abhishek Singh and Narendra Ahuja International Conference on Pattern Recognition (ICPR 2012)
- Online Learning With Kernels: Overcoming the Growing Sum Problem
Abhishek Singh, Narendra Ahuja and Pierre Moulin IEEE Workshop on Machine Learning for Signal Processing (MLSP 2012)
- A Variational Approach for Optimizing Quadratic Mutual Information for Medical Image Registration
Abhishek Singh, Ying Zhu and Christophe Chefd'hotel IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)
- A Loss Function for Classification Based on a Robust Similarity Metric
Abhishek Singh and Jose Principe International Joint Conference on Neural Networks (IJCNN 2010)
- Realistic and efficient 2D crack simulation
Jacob Yadegar, Xiaoqing Liu and Abhishek Singh. SPIE International Conference on Defense, Security, and Sensing, 2010. - Hidden Markov Models for Modeling Blood Pressure Data to Predict Acute Hypotension
Abhishek Singh, Tejaswi Tamminedi, Guy Yosiphon, Anurag Ganguli and Jacob Yadegar. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)
- Kernel Width Adaptation in Information Theoretic Cost Functions
Abhishek Singh and Jose Principe IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)
- A Closed Form Recursive Solution for Maximum Correntropy Training
Abhishek Singh and Jose C. Principe IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)
- Using Correntropy as a Cost Function in Linear Adaptive Filters
Abhishek Singh and Jose C. Principe IEEE International Joint Conference on Neural Networks (IJCNN 2009)
- Efficient Learning of Finite Mixture Densities using Mutual Information
Padmini Jaikumar, Abhishek Singh and Suman K. Mitra International Conference on Advances in Pattern Recognition (ICAPR 2009)
- A Sampling-Resampling Based Bayesian Learning Approach for Object Tracking
Abhishek Singh, Padmini Jaikumar and Suman K. Mitra Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2008) Best Paper Award in IEEE Region 10 (Asia-Pacific) Student Paper Contest 2008
- A Bayesian Learning Approach for Clustering of Satellite Images
Abhishek Singh, Padmini Jaikumar and Suman K. Mitra Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2008)
- Background Subtraction in Videos Using Bayesian Learning with Motion Information
Padmini Jaikumar, Abhishek Singh and Suman K. Mitra British Machine Vision Conference (BMVC 2008)
- Detection and Tracking of Objects in Low Contrast Conditions
Abhishek Singh, Padmini Jaikumar, Suman K. Mitra, Manjunath V. Joshi and Asim Banerjee National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2008)
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