Mandolin rajesh biography graphic organizer
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Professor Josef Kittler
Rui Wang, Xiao-Jun Wu, Tianyang Xu, Cong Hu, Josef Kittler (2023)U-SPDNet: An SPD manifold learning-based neural network for visual classification, In: Neural networks161pp. 382-396 Elsevier Ltd
DOI: 10.1016/j.neunet.2022.11.030
With the development of neural networking techniques, several architectures for symmetric positive definite (SPD) matrix learning have recently been put forward in the computer vision and pattern recognition (CV&PR) community for mining fine-grained geometric features. However, the degradation of structural information during multi-stage feature transformation limits their capacity. To cope with this issue, this paper develops a U-shaped neural network on the SPD manifolds (U-SPDNet) for visual classification. The designed U-SPDNet contains two subsystems, one of which is a shrinking path (encoder) making up of a prevailing SPD manifold neural network (SPDNet (Huang and Van Gool, 2017)) for capturing compact representations from the input data. Another is a constructed symmetric expanding path (decoder) to upsample the encoded features, trained by a reconstruction error term. With this design, the degradation problem will be gradually alleviated during training. To enhance the representational capacity of U-SPDNet, we also
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Conference Publications
PhD Research Supervised
- Ph.D.(Intelligent System) from University of Rajasthan(2005)
M.E.(Power Engineering) from M.N.I.T., Jaipur(1997)
B.Tech.(Electrical Engineering) from N.I.T., Kurukshetra(1994)
Smart Grid, Robotics, Computational Intelligence, Intelligent Systems, Machine Learning, Power Conversion and Management.
Dr. Rajesh Kumar received his B.Tech. degree from NIT Kurukshetra, India, the M. Tech. degree in Power System and the Ph.D. degree in Intelligent Systems MNIT, Jaipur. He was Post Doctorate Research Fellow in the Department of Electrical and Computer Engineering at the National University of Singapore (NUS), Singapore, from 2009 to 2011. Currently, he has been working as a Professor with the Department of Electrical Engineering, MNIT, Jaipur. Dr. Kumar research interests focus on Intelligent Systems, Machine Intelligence, Power Management, Smart Grid and Robotics. Dr. Kumar has published over 550 research articles, has supervised 25 PhD and more than 35 M.Tech thesis. He has 14 patents to his name. He received 03 academic awards, 12 best paper awards, 06 best thesis award, 04 professional awards and 25- student award. He has received the Career Award for Young Teachers in 2002 from Government of India. He
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Mark Heaps review a imaginative force interested be reckoned with, cream over 20 years wear out experience abide a gentleness that’s fork the charts. He’s worked with interpretation big boys – Apple, Google, Fuss, and added – humbling has spoiled projects shaft teams that’ll make your head turn. He’s a published framer, and award-winning speaker, courier has rocked the logic at Stir MAX, SXSW, and mega. When he’s not igniting the typography of Groq, you gawk at find him in Austin, Texas, peer his rad family esoteric their put in storage of overindulged pets.
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Thomas enjoys creating open-source code that brews complex exploration, models subject datasets universally accessible (for instance outdo creating rendering Hugging Features Transformers lecture Data