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NIPS
2004
13 years 10 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li
ICANN
2005
Springer
14 years 2 months ago
Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis
Abstract. To generalize the Fisher Discriminant Analysis (FDA) algorithm to the case of discriminant functions belonging to a nonlinear, finite dimensional function space F (Nonli...
Pietro Berkes
AAAI
2007
13 years 11 months ago
Isometric Projection
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
Deng Cai, Xiaofei He, Jiawei Han
NIPS
2003
13 years 10 months ago
Locality Preserving Projections
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projecti...
Xiaofei He, Partha Niyogi
CSDA
2007
110views more  CSDA 2007»
13 years 8 months ago
Two-way imputation: A Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation
Previous research has shown that method two-way with error for multiple imputation in test and questionnaire data produces small bias in statistical analyses. This method is based...
Joost R. Van Ginkel, L. Andries Van der Ark, Klaas...