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» An Algorithm for Intrinsic Dimensionality Estimation
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134
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ICIP
2001
IEEE
16 years 5 months ago
N-dimensional zonal algorithms. The future of block based motion estimation?
The popularity of zonal based algorithms for block based motion estimation has been recently increasing due to their superior performance in both terms of reduced complexity and s...
Alexis M. Tourapis, Hye-Yeon Cheong, Ming L. Liou,...
146
Voted
PAMI
2007
102views more  PAMI 2007»
15 years 3 months ago
Feature Subset Selection and Ranking for Data Dimensionality Reduction
—A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one ...
Hua-Liang Wei, Stephen A. Billings
154
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TNN
2008
105views more  TNN 2008»
15 years 3 months ago
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
Shuiwang Ji, Jieping Ye
142
Voted
ICML
2007
IEEE
16 years 4 months ago
Dimensionality reduction and generalization
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
Sofia Mosci, Lorenzo Rosasco, Alessandro Verri
142
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ICML
2005
IEEE
16 years 4 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky