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CORR
2010
Springer
221views Education» more  CORR 2010»
15 years 4 months ago
Reduction of Feature Vectors Using Rough Set Theory for Human Face Recognition
In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input ...
Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nas...
ICASSP
2011
IEEE
14 years 11 months ago
Sound morphing by feature interpolation
The goal of sound morphing by feature interpolation is to obtain sounds whose values of features are intermediate between those of the source and target sounds. In order to do thi...
Marcelo F. Caetano, Xavier Rodet
CVPR
2004
IEEE
16 years 9 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang
IBPRIA
2005
Springer
16 years 28 days ago
Gabor Parameter Selection for Local Feature Detection
Abstract. Some recent works have addressed the object recognition problem by representing objects as the composition of independent image parts, where each part is modeled with “...
Plinio Moreno, Alexandre Bernardino, José S...
JBI
2007
148views Bioinformatics» more  JBI 2007»
15 years 7 months ago
A method for linking computed image features to histological semantics in neuropathology
In medical image analysis, the image content is often represented by computed features that need to be interpreted at a clinical level of understanding to support lopment of clini...
Birgit Lessmann, Tim W. Nattkemper, V. H. Hans, An...