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Manik Varma
Manik Varma
Partner Researcher, Microsoft Research India; Adjunct Professor of Computer Science, IIT Delhi
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
A statistical approach to texture classification from single images
M Varma, A Zisserman
International journal of computer vision 62 (1), 61-81, 2005
15352005
Multiple kernels for object detection
A Vedaldi, V Gulshan, M Varma, A Zisserman
2009 IEEE 12th international conference on computer vision, 606-613, 2009
10112009
A statistical approach to material classification using image patch exemplars
M Varma, A Zisserman
IEEE transactions on pattern analysis and machine intelligence 31 (11), 2032 …, 2008
7582008
Learning the discriminative power-invariance trade-off
M Varma, D Ray
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
7162007
Texture classification: Are filter banks necessary?
M Varma, A Zisserman
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
6462003
Character recognition in natural images.
TE De Campos, BR Babu, M Varma
VISAPP (2) 7 (2), 2009
6032009
More generality in efficient multiple kernel learning
M Varma, BR Babu
Proceedings of the 26th annual international conference on machine learning …, 2009
5362009
Classifying images of materials: Achieving viewpoint and illumination independence
M Varma, A Zisserman
European Conference on Computer Vision, 255-271, 2002
4932002
Sparse local embeddings for extreme multi-label classification
K Bhatia, H Jain, P Kar, M Varma, P Jain
Advances in neural information processing systems 28, 2015
4192015
Fastxml: A fast, accurate and stable tree-classifier for extreme multi-label learning
Y Prabhu, M Varma
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
3762014
Multi-label learning with millions of labels: Recommending advertiser bid phrases for web pages
R Agrawal, A Gupta, Y Prabhu, M Varma
Proceedings of the 22nd international conference on World Wide Web, 13-24, 2013
2962013
Extreme multi-label loss functions for recommendation, tagging, ranking & other missing label applications
H Jain, Y Prabhu, M Varma
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
2942016
Multiple kernel learning and the SMO algorithm
Z Sun, N Ampornpunt, M Varma, S Vishwanathan
Advances in neural information processing systems 23, 2010
2232010
Resource-efficient machine learning in 2 KB RAM for the internet of things
A Kumar, S Goyal, M Varma
International conference on machine learning, 1935-1944, 2017
2062017
Locally invariant fractal features for statistical texture classification
M Varma, R Garg
2007 IEEE 11th international conference on computer vision, 1-8, 2007
1852007
Fastgrnn: A fast, accurate, stable and tiny kilobyte sized gated recurrent neural network
A Kusupati, M Singh, K Bhatia, A Kumar, P Jain, M Varma
Advances in neural information processing systems 31, 2018
1692018
Large scale max-margin multi-label classification with priors
B Hariharan, L Zelnik-Manor, SVN Vishwanathan, M Varma
ICML, 2010
1692010
Parabel: Partitioned label trees for extreme classification with application to dynamic search advertising
Y Prabhu, A Kag, S Harsola, R Agrawal, M Varma
Proceedings of the 2018 World Wide Web Conference, 993-1002, 2018
1652018
Learning to re-rank: query-dependent image re-ranking using click data
V Jain, M Varma
Proceedings of the 20th international conference on World wide web, 277-286, 2011
1622011
Protonn: Compressed and accurate knn for resource-scarce devices
C Gupta, AS Suggala, A Goyal, HV Simhadri, B Paranjape, A Kumar, ...
International conference on machine learning, 1331-1340, 2017
1522017
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