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A dual diffusion model-based representation learning framework for antimicrobial peptides classification. [PDF]
BioinformaticsKong W, Fu L, Jiang X, Zhao W.
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A machine vision dataset for automated quality inspection and grading of sweetpotatoes. [PDF]
Data BriefZhang J, Lu Y, Xu J.
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Deep Few-View High-Resolution Photon-Counting CT at Halved Dose for Extremity Imaging. [PDF]
IEEE Trans Med ImagingLi M +12 more
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NeuroAction: a neuroevolutionary approach to reinforcement learning for autonomous vehicles. [PDF]
Sci RepAboyeji E +3 more
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Comprehensive Multi-view Representation Learning
Information Fusion, 2023Qinghai Zheng, Jihua Zhu
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Contrastive Multi-View Kernel Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Kernel method is a proven technique in multi-view learning. It implicitly defines a Hilbert space where samples can be linearly separated. Most kernel-based multi-view learning algorithms compute a kernel function aggregating and compressing the views into a single kernel.
Jiyuan Liu +4 more
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Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015
Partitioning the feature set into non-empty subsets of features is the generalized task of feature subset selection. The subsets of features are collectively useful than a subset of the feature. The composition of classification models of the multiple views corresponding each subset of the feature-set can outperform a single-view classifier. Multi-view
Vipin Kumar, Sonajharia Minz
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Partitioning the feature set into non-empty subsets of features is the generalized task of feature subset selection. The subsets of features are collectively useful than a subset of the feature. The composition of classification models of the multiple views corresponding each subset of the feature-set can outperform a single-view classifier. Multi-view
Vipin Kumar, Sonajharia Minz
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Multi-view representation learning for multi-view action recognition
Journal of Visual Communication and Image Representation, 2017This approach directly exploits the relationships among different action categories from different views.We bridge the gap of the sparsity representation of different actions from the different views.This approach explores the task of cross-view recognition.
Tong Hao +3 more
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