Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mari Ganesh Kumar"'
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 2, p e1008548 (2021)
The visual cortex of the mouse brain can be divided into ten or more areas that each contain complete or partial retinotopic maps of the contralateral visual field. It is generally assumed that these areas represent discrete processing regions. In co
Externí odkaz:
https://doaj.org/article/b410f48f206a4de2982019246795da37
Publikováno v:
IEEE Transactions on Information Forensics and Security. 16:2856-2871
Electroencephalography (EEG) signals are promising as alternatives to other biometrics owing to their protection against spoofing. Previous studies have focused on capturing individual variability by analyzing task/condition-specific EEG. This work a
Autor:
Anand Thyagachandran, Ashish Seth, Saish Jaiswal, Jom Kuriakose, Hema A. Murthy, Lodagala V.S.V. Durga Prasad, Arun Kumar A, Anusha Prakash, Mari Ganesh Kumar
India is home to multiple languages, and training automatic speech recognition (ASR) systems for languages is challenging. Over time, each language has adopted words from other languages, such as English, leading to code-mixing. Most Indian languages
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c26ee85f8edba0386136b6e6f81a59c6
http://arxiv.org/abs/2106.01400
http://arxiv.org/abs/2106.01400
Autor:
Venkata Subramanian Viraraghavan, Hema A. Murthy, Mari Ganesh Kumar, Jilt Sebastian, Mriganka Sur
Publikováno v:
IEEE Trans Signal Process
Spike estimation from calcium (Ca $^{2+}$ ) fluorescence signals is a fundamental and challenging problem in neuroscience. Several models and algorithms have been proposed for this task over the past decade. Nevertheless, it is still hard to achieve
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 2, p e1008548 (2021)
PLoS Computational Biology, Vol 17, Iss 2, p e1008548 (2021)
The visual cortex of the mouse brain can be divided into ten or more areas that each contain complete or partial retinotopic maps of the contralateral visual field. It is generally assumed that these areas represent discrete processing regions. In co
Publikováno v:
EMBC
There has been a growing interest in studying electroencephalography signals (EEG) as a possible biometric. The brain signals captured by EEG are rich and carry information related to the individual, tasks being performed, mental state, and other cha
Publikováno v:
ASRU
Detecting spoofed utterances is a fundamental problem in voice-based biometrics. Spoofing can be performed either by logical accesses like speech synthesis, voice conversion or by physical accesses such as replaying the pre-recorded utterance. Inspir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e2498f31de101535af5e144f329f16
Autor:
Saranya M. S, Mriganka Sur, Hitesh Gupta, Abhishek Kumar, Vinothkumar D, Hema A. Murthy, Mari Ganesh Kumar
Publikováno v:
Workshop on Speech, Music and Mind (SMM 2018).
Autor:
Sebastian, Jilt1,2 (AUTHOR) jiltsebastian@gmail.com, Sur, Mriganka3 (AUTHOR), Murthy, Hema A.2 (AUTHOR), Magimai-Doss, Mathew1 (AUTHOR)
Publikováno v:
PLoS Computational Biology. 3/1/2021, Vol. 17 Issue 3, p1-19. 19p. 1 Diagram, 8 Charts, 7 Graphs.
Autor:
Kumar, Mari Ganesh1 (AUTHOR) mari@cse.iitm.ac.in, Hu, Ming2 (AUTHOR) mari@cse.iitm.ac.in, Ramanujan, Aadhirai1 (AUTHOR), Sur, Mriganka2 (AUTHOR) mari@cse.iitm.ac.in, Murthy, Hema A.1 (AUTHOR) mari@cse.iitm.ac.in
Publikováno v:
PLoS Computational Biology. 2/4/2021, Vol. 17 Issue 2, p1-25. 25p. 2 Color Photographs, 3 Diagrams, 6 Charts, 3 Graphs.