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» Dimensionality Reduction for Classification
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ICIP
2010
IEEE
15 years 1 months ago
Multi-spectral image analysis for skin pigmentation classification
In this paper, we compare two different approaches for semiautomatic detection of skin hyper-pigmentation on multispectral images. These two methods are support vector machine (SV...
Sylvain Prigent, Xavier Descombes, Didier Zugaj, P...
146
Voted
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
16 years 3 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
109
Voted
ISMIR
2004
Springer
108views Music» more  ISMIR 2004»
15 years 8 months ago
Improving Melody Classification by Discriminant Feature Extraction and Fusion
We propose a general approach to discriminant feature extraction and fusion, built on an optimal feature transformation for discriminant analysis [6]. Our experiments indicate tha...
Ming Li, Ronan Sleep
ICPR
2002
IEEE
16 years 4 months ago
PCA in Autocorrelation Space
The use of higher order autocorrelations as features for pattern classification has been usually restricted to second or third orders due to high computational costs. Since the au...
Vlad Popovici, Jean-Philippe Thiran
133
Voted
SODA
2010
ACM
171views Algorithms» more  SODA 2010»
16 years 20 days ago
Coresets and Sketches for High Dimensional Subspace Approximation Problems
We consider the problem of approximating a set P of n points in Rd by a j-dimensional subspace under the p measure, in which we wish to minimize the sum of p distances from each p...
Dan Feldman, Morteza Monemizadeh, Christian Sohler...