4.8 Article

Unsupervised Domain Adaptation via Discriminative Manifold Propagation

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Learning Kernel for Conditional Moment-Matching Discrepancy-Based Image Classification

Chuan-Xian Ren et al.

Summary: A new kernel learning method called KLN is proposed in this paper to enhance the discrimination performance of Conditional Maximum Mean Discrepancy (CMMD) by iteratively operating on deep network features. By considering a compound kernel, the effectiveness of CMMD for data category description is improved, leading to state-of-the-art classification performance on benchmark datasets.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Automation & Control Systems

Heterogeneous Domain Adaptation via Covariance Structured Feature Translators

Chuan-Xian Ren et al.

Summary: This article focuses on domain adaptive feature representation for heterogeneous data by introducing projection matrices and a joint kernel regression model. It aims to efficiently transfer discriminant information from source to target domain, enhancing classification performance for the target data.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Automation & Control Systems

Generalized Conditional Domain Adaptation: A Causal Perspective With Low-Rank Translators

Chuan-Xian Ren et al.

IEEE TRANSACTIONS ON CYBERNETICS (2020)

Article Computer Science, Artificial Intelligence

Dual Adversarial Autoencoders for Clustering

Pengfei Ge et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)

Proceedings Paper Acoustics

MULTI-STEP ONLINE UNSUPERVISED DOMAIN ADAPTATION

J. H. Moon et al.

2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (2020)

Article Computer Science, Theory & Methods

Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation

Chuan-Xian Ren et al.

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2020)

Article Computer Science, Artificial Intelligence

Discriminative Residual Analysis for Image Set Classification With Posture and Age Variations

Chuan-Xian Ren et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2020)

Article Computer Science, Artificial Intelligence

Transferable Representation Learning with Deep Adaptation Networks

Mingsheng Long et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)

Article Computer Science, Artificial Intelligence

Deep Transfer Low-Rank Coding for Cross-Domain Learning

Zhengming Ding et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)

Article Mathematics, Applied

NUMERICAL ALGORITHMS ON THE AFFINE GRASSMANNIAN

Lek-Heng Lim et al.

SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Learning to Transfer Examples for Partial Domain Adaptation

Zhangjie Cao et al.

2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)

Article Computer Science, Artificial Intelligence

Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video

Zhiwu Huang et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation

Debasmit Das et al.

ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT III (2018)

Article Computer Science, Artificial Intelligence

Coupled Projections for Adaptation of Dictionaries

Sumit Shekhar et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2015)

Article Computer Science, Artificial Intelligence

ImageNet Large Scale Visual Recognition Challenge

Olga Russakovsky et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)

Article Computer Science, Artificial Intelligence

Transfer Learning for Visual Categorization: A Survey

Ling Shao et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

Domain Adaptation via Transfer Component Analysis

Sinno Jialin Pan et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)

Article Computer Science, Artificial Intelligence

A theory of learning from different domains

Shai Ben-David et al.

MACHINE LEARNING (2010)

Article Mathematics, Applied

Geometric means in a novel vector space structure on symmetric positive-definite matrices

Vincent Arsigny et al.

SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS (2007)

Article Computer Science, Artificial Intelligence

Graph embedding and extensions: A general framework for dimensionality reduction

Shuicheng Yan et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2007)

Article Computer Science, Artificial Intelligence

A Riemannian framework for tensor computing

X Pennec et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2006)