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» Robust Parameterized Component Analysis
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DAS
2010
Springer
13 years 11 months ago
Toward affine recognition of handwritten mathematical characters
We address the problem of handwritten symbol classification in the presence of distortions modeled by affine transformations. We consider shear, rotation, scaling and translation,...
Oleg Golubitsky, Vadim Mazalov, Stephen M. Watt
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo
IDA
1998
Springer
13 years 7 months ago
Fast Dimensionality Reduction and Simple PCA
A fast and simple algorithm for approximately calculating the principal components (PCs) of a data set and so reducing its dimensionality is described. This Simple Principal Compo...
Matthew Partridge, Rafael A. Calvo
ICCSA
2003
Springer
14 years 24 days ago
Efficient Speaker Identification Based on Robust VQ-PCA
Abstract. In this paper, an efficient speaker identification based on robust vector quantization principal component analysis (VQ-PCA) is proposed to solve the problems from outlie...
Younjeong Lee, Joohun Lee, Ki Yong Lee
ANSOFT
1998
140views more  ANSOFT 1998»
13 years 7 months ago
FORM: A Feature-Oriented Reuse Method with Domain-Specific Reference Architectures
Systematic discovery and exploitation of commonality across related software systems is a fundamental technical requirement for achieving successful software reuse. By examining a...
Kyo Chul Kang, Sajoong Kim, Jaejoon Lee, Kijoo Kim...