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» Large-scale manifold learning
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PAMI
2006
178views more  PAMI 2006»
13 years 9 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
ICML
2004
IEEE
14 years 10 months ago
A kernel view of the dimensionality reduction of manifolds
Bernhard Schölkopf, Daniel D. Lee, Jihun Ham,...
ACCV
2007
Springer
14 years 4 months ago
Analyzing Facial Expression by Fusing Manifolds
Feature representation and classification are two major issues in facial expression analysis. In the past, most methods used either holistic or local representation for analysis. ...
Wen-Yan Chang, Chu-Song Chen, Yi-Ping Hung
JMLR
2008
79views more  JMLR 2008»
13 years 9 months ago
Manifold Learning: The Price of Normalization
We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consis...
Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Rit...
BMVC
2010
13 years 8 months ago
Manifold Alignment via Corresponding Projections
In this paper, we propose a novel manifold alignment method by learning the underlying common manifold with supervision of corresponding data pairs from different observation sets...
Deming Zhai, Bo Li, Hong Chang, Shiguang Shan, Xil...