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» Semi-supervised Discriminant Analysis
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ICDAR
2005
IEEE
14 years 3 months ago
Online Character Recognition Based on Elastic Matching and Quadratic Discrimination
We try to link elastic matching with a statistical discrimination framework to overcome the overfitting problem which often degrades the performance of elastic matchingbased onli...
Hiroto Mitoma, Seiichi Uchida, Hiroaki Sakoe
ICDM
2003
IEEE
153views Data Mining» more  ICDM 2003»
14 years 3 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
MVA
2007
106views Computer Vision» more  MVA 2007»
13 years 9 months ago
Feature Extraction from Biological Motion of Human Gait Patterns for Emotion Discrimination
We study a method of a feature extraction to discriminate emotions of human from a sensing data of human gait patterns as ”Biological motion data”. We assume that the high–d...
Hidenori Maruta, Masahiro Ishii
ICDAR
2007
IEEE
14 years 4 months ago
Minimum Error Discriminative Training for Radical-Based Online Chinese Handwriting Recognition
Free style Chinese handwriting recognition continues to pose a challenge to researchers due to the variety of Chinese writing styles. To recognize handwritten characters in an onl...
Y. Zhang, P. Liu, F. Soong
PAA
2010
13 years 8 months ago
A simple iterative algorithm for parsimonious binary kernel Fisher discrimination
By applying recent results in optimization theory variously known as optimization transfer or majorize/minimize algorithms, an algorithm for binary, kernel, Fisher discriminant ana...
Robert F. Harrison, Kitsuchart Pasupa