Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Manraj Singh Grover"'
Publikováno v:
Journal of Parallel and Distributed Computing. 137:65-76
Deep learning has led to tremendous advancements in the field of Artificial Intelligence. One caveat, however, is the substantial amount of compute needed to train these deep learning models. Training a benchmark dataset like ImageNet on a single mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e82b08ea19c8f152906cc28c739876b5
https://doi.org/10.1016/j.jpdc.2019.10.004
https://doi.org/10.1016/j.jpdc.2019.10.004
Autor:
Pakhi Bamdev, Manraj Singh Grover, Yaman Kumar Singla, Payman Vafaee, Mika Hama, Rajiv Ratn Shah
English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and industry. With the rise in demand for such assessments, it has become increasingly necessary to have the automated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4351e185291566fb7f98192d09d489e0
Autor:
Yi Yu, Rajiv Ratn Shah, Ajit Kumar, Shailesh Kumar Jha, Manraj Singh Grover, Osaid Rehman Nasir
Publikováno v:
BigMM
In recent years, powerful generative adversarial networks (GAN) have been developed to automatically synthesize realistic images from text. However, most existing tasks are limited to generating simple images such as flowers from captions. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21e2d06a7b7dc365d8c84c7400171975
https://doi.org/10.1109/bigmm.2019.00-42
https://doi.org/10.1109/bigmm.2019.00-42
Autor:
Viresh Gupta, Palash Aggrawal, Baani Leen Kaur Jolly, Manraj Singh Grover, Surabhi S. Nath, Rajiv Ratn Shah
Publikováno v:
BigMM
2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM)
2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM)
Brain Computer Interfaces (BCI) have become very popular with Electroencephalography (EEG) being one of the most commonly used signal acquisition techniques. A major challenge in BCI studies is the individualistic analysis required for each task. Thu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::196128ebc3d8d19d6313422cf410e966
Publikováno v:
2016 1st India International Conference on Information Processing (IICIP).
The process of clustering similar words is crucial for a broad range of applications such as text classification and word sense disambiguation. Several approaches for deriving word similarity have been proposed. Some, like latent semantic analysis, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a772049ca1d6b8d5c3d7569bdcaed3c
https://doi.org/10.1109/iicip.2016.7975372
https://doi.org/10.1109/iicip.2016.7975372
Autor:
VATTER, JANA1 jana.vatter@tum.de, MAYER, RUBEN2 ruben.mayer@uni-bayreuth.de, JACOBSEN, HANS-ARNO3 jacobsen@eecg.toronto.edu
Publikováno v:
ACM Computing Surveys. Jan2024, Vol. 56 Issue 1, p1-37. 37p.
Publikováno v:
Grenze International Journal of Engineering & Technology (GIJET); 2023, Vol. 9 Issue 2, p318-322, 6p
Autor:
Bamdev, Pakhi, Grover, Manraj Singh, Singla, Yaman Kumar, Vafaee, Payman, Hama, Mika, Shah, Rajiv Ratn
Publikováno v:
International Journal of Artificial Intelligence in Education (Springer Science & Business Media B.V.); Mar2023, Vol. 33 Issue 1, p119-154, 36p
This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep lea