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Viswanath Pulabaigari
Viswanath Pulabaigari
Indian Institute of Information Technology Sri City, Chittoor
Verified email at iiits.in - Homepage
Title
Cited by
Cited by
Year
Impact of fully connected layers on performance of convolutional neural networks for image classification
SHS Basha, SR Dubey, V Pulabaigari, S Mukherjee
Neurocomputing 378, 112-119, 2020
4892020
Semi-supervised learning: A brief review
Y Reddy, P Viswanath, BE Reddy
Int. J. Eng. Technol 7 (1.8), 81, 2018
2322018
Rough-DBSCAN: A fast hybrid density based clustering method for large data sets
P Viswanath, VS Babu
Pattern Recognition Letters 30 (16), 1477-1488, 2009
1802009
l-dbscan: A fast hybrid density based clustering method
P Viswanath, R Pinkesh
18th International Conference on Pattern Recognition (ICPR'06) 1, 912-915, 2006
1342006
SemEval-2020 Task 8: Memotion Analysis--The Visuo-Lingual Metaphor!
C Sharma, D Bhageria, W Scott, S Pykl, A Das, T Chakraborty, ...
arXiv preprint arXiv:2008.03781, 2020
1332020
Rccnet: An efficient convolutional neural network for histological routine colon cancer nuclei classification
SHS Basha, S Ghosh, KK Babu, SR Dubey, V Pulabaigari, S Mukherjee
2018 15th International Conference on Control, Automation, Robotics and …, 2018
702018
A hybrid approach to speed-up the k-means clustering method
TH Sarma, P Viswanath, BE Reddy
International Journal of Machine Learning and Cybernetics 4, 107-117, 2013
642013
An improvement to k-nearest neighbor classifier
P Viswanath, TH Sarma
2011 IEEE Recent Advances in Intelligent Computational Systems, 227-231, 2011
642011
A distance based clustering method for arbitrary shaped clusters in large datasets
BK Patra, S Nandi, P Viswanath
Pattern Recognition 44 (12), 2862-2870, 2011
582011
OSVFuseNet: Online Signature Verification by feature fusion and depth-wise separable convolution based deep learning
CS Vorugunti, V Pulabaigari, RKSS Gorthi, P Mukherjee
Neurocomputing 409, 157-172, 2020
462020
OSVNet: convolutional siamese network for writer independent online signature verification
CS Vorugunti, P Mukherjee, V Pulabaigari
2019 international conference on document analysis and recognition (ICDAR …, 2019
402019
Autotune: Automatically tuning convolutional neural networks for improved transfer learning
SHS Basha, SK Vinakota, V Pulabaigari, S Mukherjee, SR Dubey
Neural Networks 133, 112-122, 2021
392021
Rough-fuzzy weighted k-nearest leader classifier for large data sets
VS Babu, P Viswanath
Pattern Recognition 42 (9), 1719-1731, 2009
352009
Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification
P Viswanath, MN Murty, S Bhatnagar
Information fusion 5 (4), 239-250, 2004
332004
Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification
P Viswanath, MN Murty, S Bhatnagar
Pattern Recognition Letters 27 (14), 1714-1724, 2006
302006
Online signature verification by few-shot separable convolution based deep learning
CS Vorugunti, RKS Gorthi, V Pulabaigari
2019 international conference on document analysis and recognition (ICDAR …, 2019
282019
An information-rich sampling technique over spatio-temporal CNN for classification of human actions in videos
SHS Basha, V Pulabaigari, S Mukherjee
Multimedia Tools and Applications 81 (28), 40431-40449, 2022
252022
Autofcl: automatically tuning fully connected layers for handling small dataset
SHS Basha, SK Vinakota, SR Dubey, V Pulabaigari, S Mukherjee
Neural Computing and Applications 33 (13), 8055-8065, 2021
232021
DeepFuseOSV: online signature verification using hybrid feature fusion and depthwise separable convolution neural network architecture
C Sekhar Vorugunti, V Pulabaigari, P Mukherjee, A Sharma
IET Biometrics 9 (6), 259-268, 2020
222020
Speeding-up the kernel k-means clustering method: A prototype based hybrid approach
TH Sarma, P Viswanath, BE Reddy
Pattern Recognition Letters 34 (5), 564-573, 2013
212013
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