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ICCV
2003
IEEE
14 years 7 months ago
Learning a Locality Preserving Subspace for Visual Recognition
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
Xiaofei He, Shuicheng Yan, Yuxiao Hu, HongJiang Zh...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
13 years 9 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
ACMIDC
2009
13 years 9 months ago
Fostering inclusion in Portuguese schools: key lessons from ICT projects
This paper reports on different projects aimed at fostering inclusion in Portuguese elementary and high schools at national, regional and local level through ICT projects. Based o...
Maria João Silva, Eduarda Ferreira, Cristin...
ACCV
2009
Springer
14 years 11 days ago
Lorentzian Discriminant Projection and Its Applications
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou
MM
2004
ACM
248views Multimedia» more  MM 2004»
13 years 11 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He