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Cosine Multilinear Principal Component Analysis for Recognition 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2023, 卷号: 9, 期号: 6, 页码: 1620-1630
作者:  Han, Feng;  Leng, Chengcai;  Li, Bing;  Basu, Anup;  Jiao, Licheng
收藏  |  浏览/下载：17/0  |  提交时间：2024/02/22
Tensors  Principal component analysis  Mathematical models  Linear programming  Iterative methods  Robustness  Matrix decomposition  Multilinear principal component analysis  angle  tensor analysis  pattern recognition  
fi-divergence NMF with biorthogonal regularization for data representation 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 卷号: 121, 页码: 14
作者:  Yuan, Ruixue;  Leng, Chengcai;  Li, Bing;  Basu, Anup
收藏  |  浏览/下载：24/0  |  提交时间：2023/11/17
NMF  fi-divergence  Biorthogonal regularization  Clustering  
Total Variation Constrained Non-Negative Matrix Factorization for Medical Image Registration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1025-1037
作者:  Chengcai Leng;  Hai Zhang;  Guorong Cai;  Zhen Chen;  Anup Basu
Adobe PDF(1933Kb)  |  收藏  |  浏览/下载：239/79  |  提交时间：2021/04/09
Data clustering  dimension reduction  image registration  non-negative matrix factorization (NMF)  total variation (TV)  
Adaptive total-variation for non-negative matrix factorization on manifold 期刊论文
PATTERN RECOGNITION LETTERS, 2017, 卷号: 98, 页码: 68-74
作者:  Leng, Chengcai;  Cai, Guorong;  Yu, Dongdong;  Wang, Zongyue
收藏  |  浏览/下载：230/0  |  提交时间：2018/03/03
Adaptive Total Variation  Non-negative Matrix Factorization  Manifold Learning  
Lp Regularization for Bioluminescence Tomography Based on the Split Bregman Method 期刊论文
Molecular Imaging and Biology, 2016, 期号: 18, 页码: 830-837
作者:  Yifang Hu;  Jie Liu;  Chengcai Leng;  Yu An;  Shuang Zhang;  Kun Wang
浏览  |  Adobe PDF(1883Kb)  |  收藏  |  浏览/下载：248/88  |  提交时间：2018/01/02
Bioluminescence Tomography (Blt)  Lp Regularization  Image Reconstruction  Split Bregman Method  
Fast in vivo bioluminescence tomography using a novel pure optical imaging technique 期刊论文
JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2017, 卷号: 10, 期号: 3
作者:  Zhang, Shuang;  Leng, Chengcai;  Liu, Hongbo;  Wang, Kun;  Tian, Jie
Adobe PDF(435Kb)  |  收藏  |  浏览/下载：298/58  |  提交时间：2017/07/18
Optical Surface Reconstruction  Bioluminescence Tomography Reconstruction  Optical Molecular Imaging  Light Flux Reconstruction  
Reconstruction Method for In Vivo Bioluminescence Tomography Based on the Split Bregman Iterative and Surrogate Functions 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2017, 卷号: 19, 期号: 2, 页码: 245-255
作者:  Zhang, Shuang;  Wang, Kun;  Liu, Hongbo;  Leng, Chengcai;  Gao, Yuan;  Tian, Jie
Adobe PDF(3239Kb)  |  收藏  |  浏览/下载：279/99  |  提交时间：2017/07/18
Bioluminescence Tomography Reconstruction  Optical Molecular Imaging  Split Bregman Method  Surrogate Functions  
Fast Rotation-Free Feature-Based Image Registration Using Improved N-SIFT and GMM-Based Parallel Optimization 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2016, 卷号: 63, 期号: 8, 页码: 1653-1664
作者:  Yu, Dongdong;  Yang, Feng;  Yang, Caiyun;  Leng, Chengcai;  Cao, Jian;  Wang, Yining;  Tian, Jie
Adobe PDF(839Kb)  |  收藏  |  浏览/下载：417/136  |  提交时间：2016/10/20
Accelerated Nsift  Medical Imaging  Parallel OptimizatiOn Based On Gaussian Mixture Model  Rigid Image Registration  Rotation-free  
A Novel Endoscopic Cerenkov Luminescence Imaging System for Intraoperative Surgical Navigation 期刊论文
Molecular Imaging, 2015, 卷号: 14, 期号: 8, 页码: 7290
作者:  Tianming Song;  Xia Liu;  Yawei Qu;  Haixiao Liu;  Chengpeng Bao;  Chengcai Leng;  Zhenhua Hu;  Kun Wang;  Jie Tian
浏览  |  Adobe PDF(2880Kb)  |  收藏  |  浏览/下载：380/115  |  提交时间：2016/08/11
Endoscopic Cerenkov Luminescence Imaging System  
A new region descriptor for multi-modal medical image registration and region detection 会议论文
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 25-29 Aug. 2015
作者:  Wan, Xiaonan;  Yu, Dongdong;  Yang, Feng;  Yang, Caiyun;  Leng, Chengcai;  Xu, Min;  Tian, Jie
浏览  |  Adobe PDF(2155Kb)  |  收藏  |  浏览/下载：284/36  |  提交时间：2016/04/19
Image Registration  Feature Extraction  Covariance Matrices