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03/14/2022
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) is one of the prominent tasks of tr...
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02/26/2022
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm
As a fundamental problem in machine learning, dataset shift induces a pa...
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02/19/2022
SPNet: A novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like loss
Segmentation of retinal vessel images is critical to the diagnosis of re...
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12/21/2021
Geometry-Aware Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims to transfer the knowledge from...
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07/31/2021
Conditional Bures Metric for Domain Adaptation
As a vital problem in classification-oriented transfer, unsupervised dom...
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08/25/2020
Learning Target Domain Specific Classifier for Partial Domain Adaptation
Unsupervised domain adaptation (UDA) aims at reducing the distribution d...
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08/24/2020
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification
Conditional Maximum Mean Discrepancy (CMMD) can capture the discrepancy ...
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08/23/2020
Dual Adversarial Auto-Encoders for Clustering
As a powerful approach for exploratory data analysis, unsupervised clust...
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08/23/2020
Unsupervised Domain Adaptation via Discriminative Manifold Propagation
Unsupervised domain adaptation is effective in leveraging rich informati...
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08/23/2020
Discriminative Residual Analysis for Image Set Classification with Posture and Age Variations
Image set recognition has been widely applied in many practical problems...
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06/14/2020
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network
Unsupervised domain adaptation aims to generalize the supervised model t...
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02/20/2020
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment
Unsupervised domain adaptation is effective in leveraging the rich infor...
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05/14/2019
