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ESANN
2006
13 years 10 months ago
Visual nonlinear discriminant analysis for classifier design
Abstract. We present a new method for analyzing classifiers by visualization, which we call visual nonlinear discriminant analysis. Classifiers that output posterior probabilities ...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda
ICDAR
2009
IEEE
14 years 3 months ago
Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
Xuefeng Chen, Xiabi Liu, Yunde Jia
AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
14 years 2 months ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak
EGC
2009
Springer
13 years 6 months ago
Discrepancy Analysis of Complex Objects Using Dissimilarities
Abstract. In this article we consider objects for which we have a matrix of dissimilarities and we are interested in their links with covariates. We focus on state sequences for wh...
Matthias Studer, Gilbert Ritschard, Alexis Gabadin...
CAIP
2005
Springer
121views Image Analysis» more  CAIP 2005»
14 years 2 months ago
Feature Space Reduction for Face Recognition with Dual Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is widely known feature extraction technique that aims at creating a feature set of enhanced discriminatory power. It was addressed by many resea...
Krzysztof Kucharski, Wladyslaw Skarbek, Miroslaw B...