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CVPR
2005
IEEE
16 years 5 months ago
Selection and Fusion of Color Models for Feature Detection
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...
Harro M. G. Stokman, Theo Gevers
ASE
2005
102views more  ASE 2005»
15 years 3 months ago
Modular Verification of Open Features Using Three-Valued Model Checking
Feature-oriented programming organizes programs around features rather than objects, thus better supporting extensible, product-line architectures. Programming languages increasin...
Harry C. Li, Shriram Krishnamurthi, Kathi Fisler
CVPR
2012
IEEE
13 years 6 months ago
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
ISMIR
2003
Springer
94views Music» more  ISMIR 2003»
15 years 9 months ago
A multiple feature model for musical similarity retrieval
Despite the “fuzzy” nature of musical similarity, which varies from one person to another, perceptual low level features combined with appropriate classification schemes have...
E. Allamanche, Jürgen Herre, Oliver Hellmuth,...
ICIP
2005
IEEE
16 years 5 months ago
Multiple feature models for image matching
The common approach to image matching is to detect spatial features present in both images and create a mapping that relates both images. The main drawback of this method takes pl...
Juan Morales-Sánchez, Rafael Verdú, ...