Zobrazeno 1 - 10
of 1 203
pro vyhledávání: '"Narendra Ahuja"'
Autor:
Sanghoon Sull, Narendra Ahuja
Publikováno v:
HyperReality ISBN: 9780203996638
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::886fe7423cd37b147019a9afd12204c2
https://doi.org/10.4324/9780203996638-11
https://doi.org/10.4324/9780203996638-11
Autor:
Kamila Abdiyeva, Narendra Ahuja, Mathias Anneken, David Auber, Meghna P. Ayyar, Romaissa Beddiar, Jenny Benois-Pineau, Jesús Bescós, Ilaria Boscolo Galazzo, Romain Bourqui, Lorenza Brusini, Nadia Burkart, Massimiliano Calabrese, Federica Cruciani, Eoin Delaney, Rachid Deriche, Marcos Escudero-Viñolo, Andrija Gajić, Damien Garreau, Giorgio Giacinto, Romain Giot, Oleksii Gorokhovatskyi, Volodymyr Gorokhovatskyi, Derek Greene, Adrien Halnaut, Alexandre Hardouin, Marco F. Huber, Gaëlle Jouis, Mark T. Keane, Eoin M. Kenny, Alejandro López-Cifuentes, Martin Lukac, Gloria Menegaz, Harold Mouchère, Mourad Oussalah, Olena Peredrii, Dragutin Petkovic, Fabien Picarougne, Georges Quénot, Gustavo Retuci Pinheiro, Konrad Rieck, Leticia Rittner, Wojciech Samek, Michele Scalas, Francesco Setti, Manjunatha Veerappa, Nataliia Vlasenko, Akka Zemmari, Mauro Zucchelli
Publikováno v:
Explainable Deep Learning AI ISBN: 9780323960984
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56e692de26d1b3dc8488a52ea6e2244c
https://doi.org/10.1016/b978-0-32-396098-4.00005-3
https://doi.org/10.1016/b978-0-32-396098-4.00005-3
Publikováno v:
Explainable Deep Learning AI ISBN: 9780323960984
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f3e8e8c2400a0201cac765c9df14b12
https://doi.org/10.1016/b978-0-32-396098-4.00014-4
https://doi.org/10.1016/b978-0-32-396098-4.00014-4
Autor:
John Harvill, Yash Wani, Mustafa Alam, Narendra Ahuja, Mark Hasegawa-Johnsor, David Chestek, David G. Beiser
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
The COVID-19 pandemic has fueled exponential growth in the adoption of remote delivery of primary, specialty, and urgent health care services. One major challenge is the lack of access to physical exam including accurate and inexpensive measurement o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b21624d1fa607e2ca090e654e6d6429
https://doi.org/10.1109/embc48229.2022.9871897
https://doi.org/10.1109/embc48229.2022.9871897
Autor:
John Harvill, Yash Wani, Moitreya Chatterjee, Mustafa Alam, David G. Beiser, David Chestek, Mark Hasegawa-Johnson, Narendra Ahuja
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19ad0a5e233ba37f27bc0ba697349c14
https://doi.org/10.1109/icassp43922.2022.9746015
https://doi.org/10.1109/icassp43922.2022.9746015
Autor:
John B. Harvill, David Chestek, David Beiser, Narendra Ahuja, Mark Hasegawa-Johnson, Yash R. Wani
Publikováno v:
Interspeech 2021.
Serum and saliva-based testing methods have been crucial to slowing the COVID-19 pandemic, yet have been limited by slow throughput and cost. A system able to determine COVID- 19 status from cough sounds alone would provide a low cost, rapid, and rem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46fe4467d71307c5b8e1ec8a38010fc6
https://doi.org/10.21437/interspeech.2021-799
https://doi.org/10.21437/interspeech.2021-799
Autor:
Narendra Ahuja, Huiguang Yang
Publikováno v:
Pattern Recognition. 86:265-280
We formulate the task of density based clustering as energy minimization, using both binary/pairwise energy term and unary/data energy term (the latter was largely ignored in previous clustering methods). Binary energy is defined in terms of inhomoge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bc9b32a08ae4d0559db4eca40d48569
https://doi.org/10.1016/j.patcog.2018.09.008
https://doi.org/10.1016/j.patcog.2018.09.008
Autor:
Jiangong Li, Angela R. Green-Miller, Xiaodan Hu, Ana Lucic, M.R. Mahesh Mohan, Ryan N. Dilger, Isabella C.F.S. Condotta, Brian Aldridge, John M. Hart, Narendra Ahuja
Publikováno v:
Computers and Electronics in Agriculture. 200:107227
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d30dd62250bc2b55f815b28461b9b05b
https://doi.org/10.1016/j.compag.2022.107227
https://doi.org/10.1016/j.compag.2022.107227
Autor:
Narendra Ahuja, Soo-Yeong Yi
Publikováno v:
Scene Reconstruction Pose Estimation and Tracking
Lecture Notes in Computer Science ISBN: 9783540448945
ICIAR (2)
Lecture Notes in Computer Science ISBN: 9783540448945
ICIAR (2)
Wide field of view is the most attractive feature of the omnidirectional vision. There exist two approaches to omnidirectional stereo imaging with a single camera. They use: (1) a double lobed mirror (Fiala & Basu, 2005)(Cabral et al., 2004), or (2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8dfd81e1df1a8c47a38eadf27112e51
http://www.intechopen.com/articles/show/title/a_novel_omnidirectional_stereo_vision_system_with_a_single_camera
http://www.intechopen.com/articles/show/title/a_novel_omnidirectional_stereo_vision_system_with_a_single_camera
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687953
ICPR Workshops (3)
ICPR Workshops (3)
The workhorses of CNNs are its filters, located at different layers and tuned to different features. Their responses are combined using weights obtained via network training. Training is aimed at optimal results for the entire training data, e.g., hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ab3e5d8cf2b9be01fe3496d74db6bd5
https://doi.org/10.1007/978-3-030-68796-0_11
https://doi.org/10.1007/978-3-030-68796-0_11