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» Objective Functions for Feature Discrimination
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VLSISP
2002
139views more  VLSISP 2002»
13 years 10 months ago
A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
Xuechuan Wang, Kuldip K. Paliwal
ICANN
2005
Springer
14 years 4 months ago
Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis
Abstract. To generalize the Fisher Discriminant Analysis (FDA) algorithm to the case of discriminant functions belonging to a nonlinear, finite dimensional function space F (Nonli...
Pietro Berkes
DSP
2006
13 years 11 months ago
Detection of audio covert channels using statistical footprints of hidden messages
We address the problem of detecting the presence of hidden messages in audio. The detector is based on the characteristics of the denoised residuals of the audio file, which may c...
Hamza Özer, Bülent Sankur, Nasir D. Memo...
ICDAR
2003
IEEE
14 years 4 months ago
Writer Identification using Innovative Binarised Features of Handwritten Numerals
The objective of this paper is to present a number of features that can be extracted from handwritten digits and used for author verification or identification of a person’s han...
Graham Leedham, Sumit Chachra
ECCV
2008
Springer
15 years 26 days ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden