Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Rajath Kumar"'
Autor:
Rajath Kumar, *
Production parallel systems are space-shared and employ batch queues in which the jobs submitted to the systems are made to wait before execution. Thus, jobs submitted to parallel batch systems incur queue waiting times in addition to the execution t
Externí odkaz:
http://etd.iisc.ernet.in/handle/2005/2465
http://etd.ncsi.iisc.ernet.in/abstracts/3180/G25589-Abs.pdf
http://etd.ncsi.iisc.ernet.in/abstracts/3180/G25589-Abs.pdf
Autor:
Harish Rotti, Ritu Raval, Suchitra Anchan, Ravishankara Bellampalli, Sameer Bhale, Ramachandra Bharadwaj, Balakrishna K Bhat, Amrish P Dedge, Vikram Ram Dhumal, G G Gangadharan, T K Girijakumari, Puthiya M Gopinath, Periyasamy Govindaraj, Swagata Halder, Kalpana S Joshi, Shama Prasada Kabekkodu, Archana Kamath, Paturu Kondaiah, Harpreet Kukreja, K. L. Rajath Kumar, Sreekumaran Nair, S. N. Venugopalan Nair, Jayakrishna Nayak, B V Prasanna, M Rashmishree, K Sharanprasad, Kumarasamy Thangaraj, Bhushan Patwardhan, Kapaettu Satyamoorthy, Marthanda Varma Sankaran Valiathan
Publikováno v:
Journal of Ayurveda and Integrative Medicine, Vol 5, Iss 3, Pp 167-175 (2014)
Background: Constitutional type of an individual or prakriti is the basic clinical denominator in Ayurveda, which defines physical, physiological, and psychological traits of an individual and is the template for individualized diet, lifestyle counse
Externí odkaz:
https://doaj.org/article/9c5de923f2f643afb7b6f985f57dbfc7
Autor:
Mohammad Omar Khursheed, Christin Jose, Rajath Kumar, Gengshen Fu, Brian Kulis, Santosh Kumar Cheekatmalla
Publikováno v:
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
In this work, we propose Tiny-CRNN (Tiny Convolutional Recurrent Neural Network) models applied to the problem of wakeword detection, and augment them with scaled dot product attention. We find that, compared to Convolutional Neural Network models, F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e811455423e46f22cc2f1a045939774d
https://doi.org/10.1109/asru51503.2021.9688299
https://doi.org/10.1109/asru51503.2021.9688299
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2992a04f347ed512bfe1ce8fe60b691e
https://doi.org/10.21437/interspeech.2020-2018
https://doi.org/10.21437/interspeech.2020-2018
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78432c50d09908fa62fd9a5850b6c2bd
https://doi.org/10.21437/interspeech.2020-1843
https://doi.org/10.21437/interspeech.2020-1843
Publikováno v:
The Imaging Science Journal. 65:270-281
The primitive aspect of hyperspectral imagery is its inherent spatial and spectral correlation. This correlation is exploited by subjecting the imaging cube to compression. A new approach to accomplish lossless hyperspectral image compression has bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11941fcd480a9c71f68a85b3a9f39efc
https://doi.org/10.1080/13682199.2017.1329791
https://doi.org/10.1080/13682199.2017.1329791
Publikováno v:
2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).
Automatic systems are not cost effective by any yardstick. As sophisticated door management system comes with the price tag struck immediately along with the utility. So, a simple prototype is designed for such robust system and it could be developed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f05e0631fc9316caf26b2f37bb68566
https://doi.org/10.1109/rteict42901.2018.9012431
https://doi.org/10.1109/rteict42901.2018.9012431
Publikováno v:
ASRU
In this paper, we present our system submission to the ZeroSpeech 2017 Challenge. The track1 of this challenge is intended to develop language independent speech representations that provide the least pairwise ABX distance computed for within speaker
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc885c7388a459fb62f775dbfad44509
https://doi.org/10.1109/asru.2017.8269013
https://doi.org/10.1109/asru.2017.8269013
Publikováno v:
ASRU
The task of language independent acoustic unit modeling in unlabeled raw speech (zero-resource setting) has gained significant interest over the recent years. The main challenge here is the extraction of acoustic representations that elicit good simi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::765f3828b4cc234edd4ae00cb1603334
https://doi.org/10.1109/asru.2017.8269014
https://doi.org/10.1109/asru.2017.8269014