Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Gupta, Kalyan Moy."'
The ability to accurately detect and classify objects at varying pixel sizes in cluttered scenes is crucial to many Navy applications. However, detection performance of existing state-of the-art approaches such as convolutional neural networks (CNNs)
Externí odkaz:
http://arxiv.org/abs/1708.07522
Convolutional Architecture for Fast Feature Encoding (CAFFE) [11] is a software package for the training, classifying, and feature extraction of images. The UCF Sports Action dataset is a widely used machine learning dataset that has 200 videos taken
Externí odkaz:
http://arxiv.org/abs/1512.07502
Autor:
Gupta, Kalyan Moy.
Publikováno v:
*McMaster only.
Thesis (Ph.D.)--McMaster University (Canada), 1996.
Source: Dissertation Abstracts International, Volume: 57-10, Section: B, page: 6544. Adviser: A. R. Montazemi.
Source: Dissertation Abstracts International, Volume: 57-10, Section: B, page: 6544. Adviser: A. R. Montazemi.
Publikováno v:
Journal of Management Information Systems, 1996 Jul 01. 13(1), 89-105.
Externí odkaz:
https://www.jstor.org/stable/40398204
Autor:
Montazemi, Ali Reza1 Montazem@mcmaster.ca, Gupta, Kalyan Moy1 kgupta@atlantis.com
Publikováno v:
Annals of Operations Research. 1997, Vol. 72 Issue 1-4, p51-73. 23p. 8 Charts, 1 Graph.
Publikováno v:
Case-Based Reasoning Research & Development: 22nd International Conference, ICCBR 2014, Cork, Ireland, September 29, 2014 - October 1, 2014. Proceedings; 2014, p170-184, 15p
Publikováno v:
2012 IEEE Conference on Technologies for Homeland Security (HST); 1/ 1/2012, p249-254, 6p
Autor:
McDowell, Luke K.1 LMCDOWEL@USNA.EDU, Gupta, Kalyan Moy2 KALYAN.GUPTA@KNEXUSRESEARCH.COM, Aha, David W.3 DAVID.AHA@NRL.NAVY.MIL
Publikováno v:
Journal of Machine Learning Research. 12/1/2009, Vol. 10 Issue 12, p2777-2836. 60p. 7 Diagrams, 12 Charts, 9 Graphs.
Publikováno v:
Proceedings of SPIE; Nov2009, Issue 1, p734609-734609-12, 12p
Publikováno v:
Case-based Reasoning Research & Development: 8th International Conference on Case-based Reasoning, Iccbr 2009 Seattle, Wa, Usa, July 20-23, 2009 Proceedings; 2009, p434-449, 16p