Anil Kumar  Sao
Anil Kumar Sao
Associate Professor
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Solar radiation forecasting with multiple parameters neural networks
Y Kashyap, A Bansal, AK Sao
Renewable and Sustainable Energy Reviews 49, 825-835, 2015
A syllable-based framework for unit selection synthesis in 13 Indian languages
HA Patil, TB Patel, NJ Shah, HB Sailor, R Krishnan, GR Kasthuri, ...
2013 International Conference Oriental COCOSDA held jointly with 2013 …, 2013
Face verification using template matching
AK Sao, B Yegnanarayana
IEEE Transactions on information Forensics and Security 2 (3), 636-641, 2007
Deep-sparse-representation-based features for speech recognition
P Sharma, V Abrol, AK Sao
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (11 …, 2017
Noise adaptive super-resolution from single image via non-local mean and sparse representation
S Mandal, A Bhavsar, AK Sao
Signal Processing 132, 134-149, 2017
Considerations for a PAP smear image analysis system with CNN features
S Gautam, N Jith, AK Sao, A Bhavsar, A Natarajan
arXiv preprint arXiv:1806.09025, 2018
On the use of phase of the Fourier transform for face recognition under variations in illumination
AK Sao, B Yegnanarayana
Signal, image and video processing 4 (3), 353-358, 2010
Depth map restoration from undersampled data
S Mandal, A Bhavsar, AK Sao
IEEE Transactions on Image Processing 26 (1), 119-134, 2016
Significance of image representation for face verification
AK Sao, B Yegnanarayana, BVK Vijaya Kumar
Signal, Image and Video Processing 1 (3), 225-237, 2007
DeepCerv: Deep neural network for segmentation free robust cervical cell classification
OU Nirmal Jith, KK Harinarayanan, S Gautam, A Bhavsar, AK Sao
Computational Pathology and Ophthalmic Medical Image Analysis, 86-94, 2018
Hierarchical classification of HEp-2 cell images using class-specific features
V Gupta, K Gupta, A Bhavsar, AK Sao
2016 6th European workshop on visual information processing (EUVIP), 1-6, 2016
Edge preserving single image super resolution in sparse environment
S Mandal, AK Sao
2013 IEEE International Conference on Image Processing, 967-971, 2013
Greedy dictionary learning for kernel sparse representation based classifier
V Abrol, P Sharma, AK Sao
Pattern Recognition Letters 78, 64-69, 2016
Voiced/nonvoiced detection in compressively sensed speech signals
V Abrol, P Sharma, AK Sao
Speech Communication 72, 194-207, 2015
CNN based segmentation of nuclei in PAP-smear images with selective pre-processing
S Gautam, A Bhavsar, AK Sao, KK Harinarayan
Medical Imaging 2018: Digital Pathology 10581, 246-254, 2018
Sparse coding based features for speech units classification
P Sharma, V Abrol, AD Dileep, AK Sao
Computer Speech & Language 47, 333-350, 2018
The blizzard challenge 2014
K Prahallad, A Vadapalli, S Kesiraju, H Murthy, S Lata, T Nagarajan, ...
Proc. Blizzard Challenge workshop 2014, 2014
Detecting mitotic cells in HEp-2 images as anomalies via one class classifier
K Gupta, A Bhavsar, AK Sao
Computers in biology and medicine 111, 103328, 2019
Class-specific hierarchical classification of HEp-2 cell images: The case of two classes
K Gupta, V Gupta, AK Sao, A Bhavsar, AD Dileep
2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014
Greedy double sparse dictionary learning for sparse representation of speech signals
V Abrol, P Sharma, AK Sao
Speech Communication 85, 71-82, 2016
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