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Senjian An

Showing results (1-10 of 10) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|September 6, 2018
Response to "Ghost Numbers"Munawar Hayat, Mohammed Bennamoun, Senjian An
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Deep Reconstruction Models for Image Set ClassificationMunawar Hayat, Mohammed Bennamoun, Senjian An
Neural Networks : the Official Journal of the International Neural Network Society|June 27, 2018
Exploiting layerwise convexity of rectifier networks with sign constrained weightsSenjian An, Farid Boussaid, Mohammed Bennamoun, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 10, 2023
Multi-View Diffusion Process for Spectral Clustering and Image RetrievalQilin Li, Senjian An, Ling Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 24, 2020
Semisupervised Learning on Graphs With an Alternating Diffusion ProcessQilin Li, Senjian An, Wanquan Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
Invertible Residual Blocks in Deep Learning NetworksRuhua Wang, Senjian An, Wanquan Liu, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 24, 2018
Learning Clip Representations for Skeleton-Based 3D Action RecognitionQiuhong Ke, Mohammed Bennamoun, Senjian An, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 5, 2019
Learning Latent Global Network for Skeleton-based Action PredictionQiuhong Ke, Mohammed Bennamoun, Hossein Rahmani, et al.
Scientific Reports|September 16, 2021
Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative dataJuan Lu, Ling Wang, Mohammed Bennamoun, et al.
Sensors (Basel, Switzerland)|January 17, 2020
Automatic Hierarchical Classification of Kelps Using Deep Residual FeaturesAmmar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 6, 2018
Response to "Ghost Numbers"Munawar Hayat, Mohammed Bennamoun, Senjian An
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Deep Reconstruction Models for Image Set ClassificationMunawar Hayat, Mohammed Bennamoun, Senjian An
Neural Networks : the Official Journal of the International Neural Network Society|June 27, 2018
Exploiting layerwise convexity of rectifier networks with sign constrained weightsSenjian An, Farid Boussaid, Mohammed Bennamoun, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 10, 2023
Multi-View Diffusion Process for Spectral Clustering and Image RetrievalQilin Li, Senjian An, Ling Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 24, 2020
Semisupervised Learning on Graphs With an Alternating Diffusion ProcessQilin Li, Senjian An, Wanquan Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
Invertible Residual Blocks in Deep Learning NetworksRuhua Wang, Senjian An, Wanquan Liu, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 24, 2018
Learning Clip Representations for Skeleton-Based 3D Action RecognitionQiuhong Ke, Mohammed Bennamoun, Senjian An, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 5, 2019
Learning Latent Global Network for Skeleton-based Action PredictionQiuhong Ke, Mohammed Bennamoun, Hossein Rahmani, et al.
Scientific Reports|September 16, 2021
Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative dataJuan Lu, Ling Wang, Mohammed Bennamoun, et al.
Sensors (Basel, Switzerland)|January 17, 2020
Automatic Hierarchical Classification of Kelps Using Deep Residual FeaturesAmmar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, et al.
Pageof 1