中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共65条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
TENET: Beyond Pseudo-Labeling for Semi-supervised Few-shot Learning 期刊论文
Machine Intelligence Research, 2023, 页码: 0
作者:  Ma CC(马成丞);  Dong WM(董未名);  Xu CS(徐常胜)
Adobe PDF(741Kb)  |  收藏  |  浏览/下载：80/21  |  提交时间：2024/01/29
Semi-supervised few-shot learning  few-shot learning  pseudo-labeling  linear regression  low-rank reconstruction  
A Simple yet Effective Framework for Active Learning to Rank 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 169-183
作者:  Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin
Adobe PDF(2194Kb)  |  收藏  |  浏览/下载：64/23  |  提交时间：2024/01/25
Search, information retrieval, learning to rank, active learning, query by committee  
Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9357-9373
作者:  Tang, Yongqiang;  Xie, Yuan;  Zhang, Wensheng
收藏  |  浏览/下载：44/0  |  提交时间：2023/11/17
Affine subspace  low-rank representation  low-rank tensor  multi-view learning  subspace clustering  
Shared Low-Rank Correlation Embedding for Multiple Feature Fusion 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1855-1867
作者:  Wang, Zhan;  Wang, Lizhi;  Wan, Jun;  Huang, Hua
收藏  |  浏览/下载：132/0  |  提交时间：2021/12/28
Correlation  Kernel  Task analysis  Fuses  Noise measurement  Laplace equations  Dictionaries  Common subspace  low-rank representation  multiple feature fusion  canonical correlation analysis  
Tensor-Based Reliable Multiview Similarity Learning for Robust Spectral Clustering on Uncertain Data 期刊论文
IEEE TRANSACTIONS ON RELIABILITY, 2021, 卷号: 70, 期号: 3, 页码: 916-930
作者:  Li, Ao;  Chen, Jiajia;  Chen, Deyun;  Yu, Xiaoyang;  Yuan, Mengke;  Xu, Shibiao;  Sun, Guanglu
收藏  |  浏览/下载：170/0  |  提交时间：2021/11/03
Tensors  Matrix decomposition  Adaptation models  Data models  Probabilistic logic  Learning systems  Image reconstruction  Low-rank approximation  multiview clustering  similarity learning  tensor analysis  
Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compression 会议论文
, Tokyo, Japan (online), September 8-10, 2021
作者:  Deli, Yu;  Peipei, Yang;  Cheng-Lin, Liu
Adobe PDF(309Kb)  |  收藏  |  浏览/下载：319/56  |  提交时间：2021/07/01
low-rank decomposition  network compression  learning-based decomposition  adaptive rank penalty  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 32, 期号: 0, 页码: 0
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：267/42  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
Deep Top-rank Counter Metric for Person Re-identification 会议论文
, Milan, Italy, 2021-1
作者:  Chen Chen;  Hao Dou;  Xiyuan Hu;  Silong Peng
Adobe PDF(766Kb)  |  收藏  |  浏览/下载：205/53  |  提交时间：2021/06/17
person re-identification  metric learning  top-rank counter  deep learning  
Modal-Regression-Based Structured Low-Rank Matrix Recovery for Multiview Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 3, 页码: 1204-1216
作者:  Xu, Jiamiao;  Wang, Fangzhao;  Peng, Qinmu;  You, Xinge;  Wang, Shuo;  Jing, Xiao-Yuan;  Chen, C. L. Philip
收藏  |  浏览/下载：242/0  |  提交时间：2021/04/27
Robustness  Laplace equations  Technological innovation  Learning systems  Data models  Gaussian noise  Convex functions  Block-diagonal representation learning  cross-view classification  low-rank representation  multiview learning  
Heuristic rank selection with progressively searching tensor ring network 期刊论文
COMPLEX & INTELLIGENT SYSTEMS, 2021, 页码: 15
作者:  Li, Nannan;  Pan, Yu;  Chen, Yaran;  Ding, Zixiang;  Zhao, Dongbin;  Xu, Zenglin
Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：233/35  |  提交时间：2021/04/27
Tensor ring networks  Rank selection  Progressively search  Image classification