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» Semi-supervised Discriminant Analysis
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PAA
2002
13 years 8 months ago
Bagging, Boosting and the Random Subspace Method for Linear Classifiers
: Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak classifiers. These techniques are designed for, and usually ...
Marina Skurichina, Robert P. W. Duin
RAS
2002
92views more  RAS 2002»
13 years 8 months ago
Information Sampling for vision-based robot navigation
This paper proposes a statistical, non-feature based, attention mechanism for a mobile robot, termed Information Sampling. The selected data may be a single pixel or a number scat...
Niall Winters, José Santos-Victor
BIOID
2011
291views Biometrics» more  BIOID 2011»
13 years 16 days ago
Local Binary LDA for Face Recognition
Extracting discriminatory features from images is a crucial task for biometric recognition. For this reason, we have developed a new method for the extraction of features from imag...
Ivan Fratric, Slobodan Ribaric
ICIP
2006
IEEE
14 years 10 months ago
Curvelet-Based Texture Classification of Tissues in Computed Tomography
The research presented in this article is aimed at the development of an automated imaging system for classification of tissues in medical images obtained from Computed Tomography...
Lindsay Semler, Lucia Dettori
ICIP
2005
IEEE
14 years 10 months ago
Saveface and Sirface: appearance-based recognition of faces and facial expressions
The problem of appearance-based recognition of faces and facial expressions is addressed. Previous work on sliced inverse regression (SIR) resulted in the formulation of an appear...
Yangrong Ling, Suchendra M. Bhandarkar, Xiangrong ...