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Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval

Type: Journal Paper

Author : Xiaofei He

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Infinitely many solutions for a class of fractional Hamiltonian systems via critical point theory

Type: Journal Paper

Author : Peng Chen; Xiaofei He; X.H. Tang

Year: 2015

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Tracking people in RGBD videos using deep learning and motion clues

Type: Journal Paper

Author : Hongyang Xue; Yao Liu; Deng Cai; Xiaofei He

Year: 2016

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PM-PM: PatchMatch With Potts Model for Object Segmentation and Stereo Matching

Type: Journal Paper

Author : Shibiao Xu; Feihu Zhang; Xiaofei He; Xukun Shen; Xiaopeng Zhang

Year: 2015

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A Class of Manifold Regularized Multiplicative Update Algorithms for Image Clustering

Type: Journal Paper

Author : Shangming Yang; Zhang Yi; Xiaofei He; Xuelong Li

Year: 2015

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Nonnegative Local Coordinate Factorization for Image Representation

Type: Journal Paper

Author : Yan Chen; Jiemi Zhang; Deng Cai; Wei Liu; Xiaofei He

Year: 2013

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Graph Regularized Nonnegative Matrix Factorization for Data Representation

Type: Journal Paper

Author : Deng Cai; Xiaofei He; Jiawei Han; Huang, T.S.

Year: 2011

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Multi-Label Transfer Learning With Sparse Representation

Type: Journal Paper

Author : Yahong Han; Fei Wu; Yueting Zhuang; Xiaofei He

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Neighborhood preserving embedding

Type: Journal Paper

Author : Xiaofei He; Deng Cai; Shuicheng Yan; Hong-Jiang Zhang

Year: 2005

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Convergence Analysis of Graph Regularized Non-Negative Matrix Factorization

Type: Journal Paper

Author : Shangming Yang; Zhang Yi; Mao Ye; Xiaofei He

Publisher: IEEE

Year: 2014

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Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval

Infinitely many solutions for a class of fractional Hamiltonian systems via critical point theory

Tracking people in RGBD videos using deep learning and motion clues

PM-PM: PatchMatch With Potts Model for Object Segmentation and Stereo Matching

A Class of Manifold Regularized Multiplicative Update Algorithms for Image Clustering

Nonnegative Local Coordinate Factorization for Image Representation

Graph Regularized Nonnegative Matrix Factorization for Data Representation

Multi-Label Transfer Learning With Sparse Representation

Neighborhood preserving embedding

Convergence Analysis of Graph Regularized Non-Negative Matrix Factorization

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Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval

Infinitely many solutions for a class of fractional Hamiltonian systems via critical point theory

Tracking people in RGBD videos using deep learning and motion clues

PM-PM: PatchMatch With Potts Model for Object Segmentation and Stereo Matching

A Class of Manifold Regularized Multiplicative Update Algorithms for Image Clustering

Nonnegative Local Coordinate Factorization for Image Representation

Graph Regularized Nonnegative Matrix Factorization for Data Representation

Multi-Label Transfer Learning With Sparse Representation

Neighborhood preserving embedding

Convergence Analysis of Graph Regularized Non-Negative Matrix Factorization