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» Feature Generation by Simple FLD
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2005
Springer
13 years 10 months ago
Feature Generation by Simple FLD
This paper presents a new algorithm for feature generation, which is approximately derived based on geometrical interpretation of the Fisher linear discriminant analysis. In a fiel...
Minoru Fukumi, Yasue Mitsukura
FGR
2011
IEEE
255views Biometrics» more  FGR 2011»
12 years 8 months ago
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
David D. Cox, Nicolas Pinto
ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 4 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
CG
1998
Springer
13 years 9 months ago
From Simple Features to Sophisticated Evaluation Functions
This paper discusses a practical framework for the semi automatic construction of evaluation functions for games. Based on a structured evaluation function representation, a proced...
Michael Buro
ENTCS
2002
90views more  ENTCS 2002»
13 years 4 months ago
Simple Easy Terms
We illustrate the use of intersection types as a semantic tool for proving easiness result on -terms. We single out the notion of simple easiness for -terms as a useful semantic p...
Fabio Alessi, Stefania Lusin