Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Gupta, Kalyan"'
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
Although recent advances in regional Convolutional Neural Networks (CNNs) enable them to outperform conventional techniques on standard object detection and classification tasks, their response time is still slow for real-time performance. To address
Externí odkaz:
http://arxiv.org/abs/1603.00502
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, Choudhuri, Bikach
Publikováno v:
Indian Literature, 2005 Sep 01. 495 (229), 50-50.
Externí odkaz:
https://www.jstor.org/stable/23346185
Autor:
Gupta, Kalyan, Choudhuri, Bikach
Publikováno v:
Indian Literature, 2005 Sep 01. 495 (229), 51-51.
Externí odkaz:
https://www.jstor.org/stable/23346186
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.
Autor:
Das, Gautam, Das, Mousumi, Sinha, Subhasis, Gupta, Kalyan Kumar, Chakrabarty, Sanchita, Ray, Ashok Kumar
Publikováno v:
In Materials Science & Engineering A 2009 513:389-393
Autor:
Gupta, Kalyan Das
Publikováno v:
Social Scientist, 1983 Apr 01. 11(4), 21-36.
Externí odkaz:
https://www.jstor.org/stable/3517021