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pro vyhledávání: '"Prevost, John"'
Autor:
DeMoor, Michael G., Prevost, John J.
Deep Metric Learning (DML) loss functions traditionally aim to control the forces of separability and compactness within an embedding space so that the same class data points are pulled together and different class ones are pushed apart. Within the c
Externí odkaz:
http://arxiv.org/abs/2408.15656
Deep learning image processing models have had remarkable success in recent years in generating high quality images. Particularly, the Improved Denoising Diffusion Probabilistic Models (DDPM) have shown superiority in image quality to the state-of-th
Externí odkaz:
http://arxiv.org/abs/2303.02475
ECG databases are usually highly imbalanced due to the abundance of Normal ECG and scarcity of abnormal cases. As such, deep learning classifiers trained on imbalanced datasets usually perform poorly, especially on minor classes. One solution is to g
Externí odkaz:
http://arxiv.org/abs/2202.00569
Electrocardiogram (ECG) datasets tend to be highly imbalanced due to the scarcity of abnormal cases. Additionally, the use of real patients' ECGs is highly regulated due to privacy issues. Therefore, there is always a need for more ECG data, especial
Externí odkaz:
http://arxiv.org/abs/2112.03268
Autor:
Ghose, Sanchita, Prevost, John J.
Deep learning based visual to sound generation systems essentially need to be developed particularly considering the synchronicity aspects of visual and audio features with time. In this research we introduce a novel task of guiding a class condition
Externí odkaz:
http://arxiv.org/abs/2107.09262
Autor:
Ghose, Sanchita, Prevost, John J.
Publikováno v:
IEEE TRANSACTIONS ON MULTIMEDIA, 2020
In movie productions, the Foley Artist is responsible for creating an overlay soundtrack that helps the movie come alive for the audience. This requires the artist to first identify the sounds that will enhance the experience for the listener thereby
Externí odkaz:
http://arxiv.org/abs/2002.10981
A great number of computer vision publications have focused on distinguishing between human action recognition and classification rather than the intensity of actions performed. Indexing the intensity which determines the performance of human actions
Externí odkaz:
http://arxiv.org/abs/2001.10953
Akademický článek
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Akademický článek
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Autor:
Prevost, John C.
Publikováno v:
The French Review, 1965 Nov 01. 39(2), 288-292.
Externí odkaz:
https://www.jstor.org/stable/384817
