Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Govardhan Mattela"'
Fragmented Huffman-Based Compression Methodology for CNN Targeting Resource-Constrained Edge Devices
Autor:
Chandrajit Pal, Sunil Pankaj, Wasim Akram, Dwaipayan Biswas, Govardhan Mattela, Amit Acharyya
Publikováno v:
Circuits, Systems, and Signal Processing. 41:3957-3984
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98ef76c0ae30e0380e7552c15c748971
https://doi.org/10.1007/s00034-022-01968-x
https://doi.org/10.1007/s00034-022-01968-x
Publikováno v:
COMSNETS
The primary objective of person re-identification (Re-ID) is to retrieve a person of interest across different nonintersecting cameras for managing in distributed surveillance systems. This has added to its increasing popularity on account of its wid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5182b37fd41947f7aea24191a2446983
https://doi.org/10.1109/comsnets51098.2021.9352863
https://doi.org/10.1109/comsnets51098.2021.9352863
Publikováno v:
COMSNETS
Cardiovascular diseases(CVD) is one of the major causes of deaths in the world, which may damage the endothelium cells which may lead to atherosclerosis and cardiac arrhythmias. Blood pressure is an important parameter and indicator in cardiovascular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b632a674f5da682ad0b7e5a463ce8a31
https://doi.org/10.1109/comsnets48256.2020.9027457
https://doi.org/10.1109/comsnets48256.2020.9027457
The remarkable predictive performance of deep neural networks (DNNs) has led to their adoption in service domains of unprecedented scale and scope. However, the widespread adoption and growing commercialization of DNNs have underscored the importance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e92cd89375c863975ac73a4677da0826
Publikováno v:
VLSI Design
The recent trend in deep neural networks (DNNs) research is to make the networks more compact. The motivation behind designing compact DNNs is to improve energy efficiency since by virtue of having lower memory footprint, compact DNNs have lower numb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::424d3df83f225f03bbb27bb11fccd5ca
Publikováno v:
COMSNETS
The gradual advent of machine learning has been assisting to shift the field of computer vision from statistical methods to deep neural networks. These networks should be able to process high resolution video streams coming from the HD camera sources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::816bfd246a782d45268ad79e8f42c9a2
https://doi.org/10.1109/comsnets48256.2020.9027465
https://doi.org/10.1109/comsnets48256.2020.9027465
Publikováno v:
COMSNETS
Building security systems is improving at a mammoth rate since the past decade, to cope with the threats of unauthorized access and fraudulent intentions. In high security public places like airports, embassies, corporate offices etc. only facial rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f01fdb3b6b34d0f6e2cf1acc9e3a689
https://doi.org/10.1109/comsnets.2019.8711399
https://doi.org/10.1109/comsnets.2019.8711399
Autor:
Sandeep Gupta, Govardhan Mattela
Publikováno v:
2018 5th International Conference on Signal Processing and Integrated Networks (SPIN).
Facial Expression Recognition is key vital topic for research in current scenario and has wide application as activity recognition, human-computer interaction, and person satisfaction index evaluation. This paper presents a novel feature extraction t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96d3a419f3aac7a592791e523e3c8a70
https://doi.org/10.1109/spin.2018.8474206
https://doi.org/10.1109/spin.2018.8474206