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ICDM
2003
IEEE
153views Data Mining» more  ICDM 2003»
13 years 10 months ago
Dimensionality Reduction Using Kernel Pooled Local Discriminant Information
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
Peng Zhang, Jing Peng, Carlotta Domeniconi
PAMI
2010
210views more  PAMI 2010»
13 years 3 months ago
Multi-Object Analysis of Volume, Pose, and Shape Using Statistical Discrimination
Abstract— One goal of statistical shape analysis is the discrimination between two populations of objects. In this paper, we present results of discriminant analysis on multi-obj...
Kevin Gorczowski, Martin Styner, Ja-Yeon Jeong, J....
ANOR
2002
87views more  ANOR 2002»
13 years 5 months ago
Review of Methods for Increasing Discrimination in Data Envelopment Analysis
We present a review of methods for increasing discrimination between efficient DMUs in Data Envelopment Analysis. These methods were classified into two groups: those that incorpor...
Lidia Angulo Meza, Marcos Pereira Estellita Lins
ICPR
2002
IEEE
14 years 6 months ago
Separating Color and Pattern Information for Color Texture Discrimination
The analysis of colored surface textures is a challenging research problem in computer vision. Current approaches to this task can be roughly divided into two categories: methods ...
Topi Mäenpää, Matti Pietikäine...
ICITA
2005
IEEE
13 years 11 months ago
Combining Diversity-Based Active Learning with Discriminant Analysis in Image Retrieval
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...