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» Dimensionality reduction and generalization
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SIGIR
2005
ACM
14 years 2 months ago
Multi-label informed latent semantic indexing
Latent semantic indexing (LSI) is a well-known unsupervised approach for dimensionality reduction in information retrieval. However if the output information (i.e. category labels...
Kai Yu, Shipeng Yu, Volker Tresp
SDM
2007
SIAM
133views Data Mining» more  SDM 2007»
13 years 10 months ago
On Point Sampling Versus Space Sampling for Dimensionality Reduction
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
Charu C. Aggarwal
TSMC
2008
182views more  TSMC 2008»
13 years 8 months ago
Incremental Linear Discriminant Analysis for Face Recognition
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
Haitao Zhao, Pong Chi Yuen
ICASSP
2009
IEEE
14 years 3 months ago
An information geometric approach to supervised dimensionality reduction
Due to the curse of dimensionality, high-dimensional data is often pre-processed with some form of dimensionality reduction for the classification task. Many common methods of su...
Kevin M. Carter, Raviv Raich, Alfred O. Hero
VLSISP
2002
139views more  VLSISP 2002»
13 years 8 months ago
A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
Xuechuan Wang, Kuldip K. Paliwal