Zobrazeno 1 - 10
of 209
pro vyhledávání: '"Nagaraj, T."'
In this work, we leverage advances in sparse coding techniques to reduce the number of trainable parameters in a fully connected neural network. While most of the works in literature impose $\ell_1$ regularization, DropOut or DropConnect techniques t
Externí odkaz:
http://arxiv.org/abs/1907.02051
We consider the problem of querying a string (or, a database) of length $N$ bits to determine all the locations where a substring (query) of length $M$ appears either exactly or is within a Hamming distance of $K$ from the query. We assume that sketc
Externí odkaz:
http://arxiv.org/abs/1704.07852
We consider the problem of non-adaptive group testing of $N$ items out of which $K$ or less items are known to be defective. We propose a testing scheme based on left-and-right-regular sparse-graph codes and a simple iterative decoder. We show that f
Externí odkaz:
http://arxiv.org/abs/1701.07477
Autor:
Kalil Rahiman, M., Vellaichamy, Ramesh, Nagaraj, T., Mathalai Sundaram, C., Radha Krishnan, B.
Publikováno v:
In Materials Today: Proceedings 2022 69 Part 3:1351-1354
Publikováno v:
In International Journal of Industrial Ergonomics March 2019 70:70-83
Autor:
Nagaraj, T., Abhilash, A., Ashik, R., Senthil Saravanan, M.S., Babu, S.P.Kumaresh, Rajkumar, M.
Publikováno v:
In Materials Today: Proceedings 2018 5(2) Part 2:6717-6721
Autor:
Sakthi Nagaraj, T.1 (AUTHOR), Jeyapaul, R.1 (AUTHOR)
Publikováno v:
Production Planning & Control. Dec 2021, Vol. 32 Issue 16, p1337-1351. 15p.
Autor:
Nagaraj, T.1 (AUTHOR) tnagraj686@gmail.com, Rajkumar, M.2 (AUTHOR), Muralidharan, K.3 (AUTHOR)
Publikováno v:
Annals of Operations Research. Sep2021, Vol. 304 Issue 1/2, p331-341. 11p.
Publikováno v:
International Journal of Productivity and Quality Management; 2024, Vol. 41 Issue: 4 p529-552, 24p