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CVPR
2012
IEEE
11 years 7 months ago
Discriminately decreasing discriminability with learned image filters
In machine learning and computer vision, input signals are often filtered to increase data discriminability. For example, preprocessing face images with Gabor band-pass filters ...
Jacob Whitehill, Javier R. Movellan
ICIP
2010
IEEE
13 years 2 months ago
Learning simple texture discrimination filters
Current texture analysis methods enable good discrimination but are computationally too expensive for applications which require high frame rates. This occurs because they use red...
Rui F. C. Guerreiro, Pedro M. Q. Aguiar
CBMS
2006
IEEE
13 years 10 months ago
Discrimination of Liver Diseases from CT Images Based on Gabor Filters
In this paper, a liver disease diagnosis based on Gabor filters is proposed. Three kinds of liver diseases are identified: cyst, hepatoma and cavernous hemangioma. The diagnosis s...
Chien-Cheng Lee, Sz-Han Chen, Hong-Ming Tsai, Pau-...
IBPRIA
2007
Springer
13 years 10 months ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...
ICIP
2001
IEEE
14 years 6 months ago
Region-based approach for discriminant snakes
This paper proposes a statistic framework for segmenting textured areas over real images by discriminant snakes. Our active contour model has the ability to learn different textur...
Jordi Vitrià, Petia Radeva