Information Theory

[1] Nonparametric information geometry: From divergence function to referential-representational biduality on statistical manifolds

Jun Zhang Department of Psychology and Department of Mathematics, University of Michigan

Information Theory mathscidoc:1609.19004

15, (12), 5384-5418, 2013.7
[ Download ] [ 2016-09-20 17:50:21 uploaded by zhang ] [ 1486 downloads ] [ 0 comments ] [ Cited by 14 ] [ Abstract ] [ Full ]
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[2] Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring

Yuequan Bao Harbin Institute of Technology Zuoqiang Shi Tsinghua University Xiaoyu Wang Harbin Institute of Technology Hui Li Harbin Institute of Technology

Information Theory mathscidoc:1803.19002

Structural Control and Health Monitoring, 2017
[ Download ] [ 2018-03-20 20:07:09 uploaded by shizqi ] [ 1353 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[3] Deep Residual Learning and PDEs on Manifold

Zhen Li HKUST Zuoqiang Shi Tsinghua University

Information Theory mathscidoc:1708.19001

[ Download ] [ 2017-08-17 09:55:03 uploaded by shizqi ] [ 979 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[4] A Path-Integral Approach to Bayesian Inference for Inverse Problems Using the Semiclassical Approximation

Josh C. Chang NIH Van M. Savage UCLA Tom Chou UCLA

Information Theory Mathematical Physics Statistics Theory and Methods Theoretical Physics mathscidoc:1702.19001

Distinguished Paper Award in 2017

Journal of Statistical Physics, 157, 582-602, 2014.11
[ Download ] [ 2017-02-14 09:23:44 uploaded by tomchou ] [ 967 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[5] Linear Feature Transform and Enhancement of Classification on Deep Neural Network

Penghang Yin University of California at Irvine Jack Xin University of California at Irvine Yingyong Qi University of California at Irvine

Information Theory mathscidoc:1608.19003

2016
[ Download ] [ 2016-08-18 15:33:12 uploaded by admin ] [ 955 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[6] Low Dimensional Manifold Model for Image Processing

Stanley Osher University of California, Los Angeles Zuoqiang Shi Tsinghua University Wei Zhu University of California, Los Angeles

Information Theory Numerical Analysis and Scientific Computing mathscidoc:1709.19001

Distinguished Paper Award in 2018

SIAM Journal on Imaging Sciences
[ Download ] [ 2017-09-25 16:22:50 uploaded by shizqi ] [ 930 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[7] Weighted Nonlocal Laplacian on Interpolation from Sparse Data

Zuoqiang Shi Tsinghua University Stanley Osher University of California, Los Angeles Wei Zhu University of California, Los Angeles

Information Theory Numerical Analysis and Scientific Computing mathscidoc:1609.19002

Journal of Scientific Computing, 73, (2), 1164-1177, 2017
[ Download ] [ 2016-09-02 10:26:23 uploaded by shizqi ] [ 925 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[8] Minimization of Transformed $L_1$ Penalty: Closed Form Representation and Iterative Thresholding Algorithms

Shuai Zhang University of California, Irvine Jack Xin University of California, Irvine

Information Theory mathscidoc:1608.19002

Mathematics, 2016.7
[ Download ] [ 2016-08-18 15:24:38 uploaded by admin ] [ 898 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[9] Low dimensional manifold model with semi-local patches

Zuoqiang Shi Tsinghua University Stanley Osher University of California, Los Angeles Wei Zhu University of California, Los Angeles

Information Theory Numerical Analysis and Scientific Computing mathscidoc:1609.19001

Journal of Scientific Computing
[ Download ] [ 2016-09-02 10:19:36 uploaded by shizqi ] [ 897 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[10] Low Dimensional Manifold Model in Hyperspectral Image Reconstruction

Zuoqiang Shi Tsinghua University Wei Zhu University of California,Los Angeles Stanley Osher University of California,Los Angeles

Information Theory Numerical Analysis and Scientific Computing mathscidoc:1709.25001

[ Download ] [ 2017-09-25 16:00:54 uploaded by shizqi ] [ 815 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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