Unsupervised discriminative feature representation via adversarial auto-encoder

Wenzhong Guo; Jinyu Cai; Shiping Wang

doi:10.1007/s10489-019-01581-7

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Unsupervised discriminative feature representation via adversarial auto-encoder

Wenzhong Guo Jinyu Cai Shiping Wang

Year: 2019 Journal: Applied Intelligence Vol: 50 (4)Pages: 1155-1171 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-019-01581-7

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Keywords:

Computer science Cluster analysis Feature learning Discriminative model Artificial intelligence Feature (linguistics) Pattern recognition (psychology) Autoencoder Representation (politics) Curse of dimensionality Encoder Dimensionality reduction Inference Feature vector Feature extraction Machine learning Data mining Artificial neural network

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Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Digital Media Forensic Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unsupervised discriminative feature representation via adversarial auto-encoder

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