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IEEE Transactions on Pattern Analysis and Machine Intelligence
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August 21, 2024
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations
Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
June 18, 2024
Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining
Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi
Nano Letters
|
October 27, 2023
Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine Learning
Xinyu Li, Javen Qinfeng Shi, Alister J Page
Acta Biochimica Et Biophysica Sinica
|
November 11, 2009
Development of a soluble PTD-HPV18E7 fusion protein and its functional characterization in eukaryotic cells
Xiaofei Yan, Shah Walayat, Qinfeng Shi, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
August 29, 2015
Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering
Ming Yin, Junbin Gao, Zhouchen Lin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
February 13, 2015
Worst case linear discriminant analysis as scalable semidefinite feasibility problems
Hui Li, Chunhua Shen, Anton van den Hengel, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
May 9, 2014
RandomBoost: simplified multiclass boosting through randomization
Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
July 24, 2019
Model-free tracker for multiple objects using joint appearance and motion inference
Chongyu Liu, Rui Yao, S Hamid Rezatofighi, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
January 20, 2021
Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation
Wei Sun, Dong Gong, Qinfeng Shi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
September 10, 2015
A Hybrid Loss for Multiclass and Structured Prediction
Qinfeng Shi, Mark Reid, Tiberio Caetano, et al.
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of 3
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Showing results (1-10 of 29) with videos related to
Sort By:
Page
of 3
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 21, 2024
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations
Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
June 18, 2024
Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining
Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi
Nano Letters
|
October 27, 2023
Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine Learning
Xinyu Li, Javen Qinfeng Shi, Alister J Page
Acta Biochimica Et Biophysica Sinica
|
November 11, 2009
Development of a soluble PTD-HPV18E7 fusion protein and its functional characterization in eukaryotic cells
Xiaofei Yan, Shah Walayat, Qinfeng Shi, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
August 29, 2015
Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering
Ming Yin, Junbin Gao, Zhouchen Lin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
February 13, 2015
Worst case linear discriminant analysis as scalable semidefinite feasibility problems
Hui Li, Chunhua Shen, Anton van den Hengel, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
May 9, 2014
RandomBoost: simplified multiclass boosting through randomization
Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
July 24, 2019
Model-free tracker for multiple objects using joint appearance and motion inference
Chongyu Liu, Rui Yao, S Hamid Rezatofighi, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
January 20, 2021
Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation
Wei Sun, Dong Gong, Qinfeng Shi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
September 10, 2015
A Hybrid Loss for Multiclass and Structured Prediction
Qinfeng Shi, Mark Reid, Tiberio Caetano, et al.
Page
of 3