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» Clustering-based locally linear embedding
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ICCV
2003
IEEE
14 years 9 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...
ICPR
2008
IEEE
14 years 1 months ago
Ear recognition using LLE and IDLLE algorithm
Although ear recognition has been researched widely, there still exist some problems to be resolved in depth such as multi-pose ear recognition which is rarely focused on. In this...
Zhaoxia Xie, Zhichun Mu
NIPS
2003
13 years 8 months ago
Non-linear CCA and PCA by Alignment of Local Models
We propose a non-linear Canonical Correlation Analysis (CCA) method which works by coordinating or aligning mixtures of linear models. In the same way that CCA extends the idea of...
Jakob J. Verbeek, Sam T. Roweis, Nikos A. Vlassis
ACMACE
2007
ACM
13 years 11 months ago
Application of dimensionality reduction techniques to HRTFS for interactive virtual environments
Fundamental to the generation of 3D audio is the HRTF processing of acoustical signals. Unfortunately, given the high dimensionality of HRTFs, incorporating them into dynamic/inte...
Bill Kapralos, Nathan Mekuz
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
14 years 18 days ago
Orthogonal Neighborhood Preserving Projections
— Orthogonal Neighborhood Preserving Projections (ONPP) is a linear dimensionality reduction technique which attempts to preserve both the intrinsic neighborhood geometry of the ...
Effrosini Kokiopoulou, Yousef Saad