Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Devansh Arpit"'
Autor:
Devansh Arpit, Srirangaraj Setlur, Karthik Dantu, Neeti Narayan, Nishant Sankaran, Venu Govindaraju
Publikováno v:
CVPR Workshops
We present a novel approach to person tracking within the context of entity association. In large-scale distributed multi-camera systems, person re-identification is a challenging computer vision task as the problem is two-fold: detecting entities th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83593a55918145b7da54d2bd27d4a3e1
https://doi.org/10.1109/cvprw.2017.84
https://doi.org/10.1109/cvprw.2017.84
Publikováno v:
BTAS
Subspace learning algorithms aim at finding low dimensional linear manifolds that are representative of the data at hand. In this paper we propose a semi-supervised approach that fits any given dataset to a low dimensional subspace while maintaining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df7e6a9b4fdc9db006945350cbf9cc9b
https://doi.org/10.1109/btas.2016.7791185
https://doi.org/10.1109/btas.2016.7791185
Publikováno v:
Journal of Urology. 195
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d942a40e4d19792092fce5a07f1abe7
https://doi.org/10.1016/j.juro.2016.02.2777
https://doi.org/10.1016/j.juro.2016.02.2777
Publikováno v:
WACV
Large scale, class imbalanced data classification is a challenging task that occurs frequently in several computer vision tasks such as web video retrieval. A number of algorithms have been proposed in literature that approach this problem from diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1753aa7bfee8c74073360ebeda02ab24
https://doi.org/10.1109/wacv.2013.6475028
https://doi.org/10.1109/wacv.2013.6475028
Autor:
Anoop M. Namboodiri, Devansh Arpit
Publikováno v:
IJCB
This paper deals with extraction of fingerprint features directly from gray scale images by the method of ridge tracing. While doing so, we make substantial use of contextual information gathered during the tracing process. Narrow bandpass based filt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f9fa5605f2458d2e3ba01afcee97cd6
https://doi.org/10.1109/ijcb.2011.6117533
https://doi.org/10.1109/ijcb.2011.6117533
Autor:
Yoshua Bengio, Asja Fischer, Amos Storkey, Nicolas Ballas, Stanisław Jastrzębski, Devansh Arpit, Zachary Kenton
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Artificial Neural Networks and Machine Learning – ICANN 2018
Artificial Neural Networks and Machine Learning – ICANN 2018-27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III
Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014230
ICANN (3)
Lecture Notes in Computer Science-Artificial Neural Networks and Machine Learning – ICANN 2018
Artificial Neural Networks and Machine Learning – ICANN 2018-27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III
Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014230
ICANN (3)
We show that the dynamics and convergence properties of SGD are set by the ratio of learning rate to batch size. We observe that this ratio is a key determinant of the generalization error, which we suggest is mediated by controlling the width of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f01b07a0dc6dc206012d6e87c0db2c4d
