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126
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VLSISP
2002
124views more  VLSISP 2002»
15 years 3 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
135
Voted
ICCV
2009
IEEE
15 years 1 months ago
Kernel map compression using generalized radial basis functions
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Omar Arif, Patricio A. Vela
CORR
2011
Springer
161views Education» more  CORR 2011»
14 years 10 months ago
Generalized Gray Codes for Local Rank Modulation
—We consider the local rank-modulation scheme in which a sliding window going over a sequence of real-valued variables induces a sequence of permutations. Local rankmodulation is...
Eyal En Gad, Michael Langberg, Moshe Schwartz, Jeh...
JMIV
2010
115views more  JMIV 2010»
14 years 10 months ago
Generalized Convexity in Multiple View Geometry
Recent work on geometric vision problems has exploited convexity properties in order to obtain globally optimal solutions. In this paper we give an overview of these developments a...
Carl Olsson, Fredrik Kahl
148
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni