Auto-Association by Multilayer Perceptrons and Singular Value Decomposition
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The benefits obtained from the decomposition of a classification task involving several classes, into a set of smaller classification problems involving two classes only, usually called dichotomies, have been exposed in various occasions. Among the multipl ...
Many important classification problems are \emph{polychotomies}, \emph{i.e.} the data are organized into K classes with K>2. Given an unknown function F:Ømega→{1,…,K} representing a polychotomy, an algorithm aimed at ``learning'' this p ...
Many important classification problems are emphpolychotomies, emphi.e. the data are organized into K classes with K>2. Given an unknown function F:Omegato1,dots,K representing a polychotomy, an algorithm aimed at ``learning'' this polychotomy ...
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This paper proposes a multiresolution Matching Pursuit decomposition of natural images. Matching Pursuit is a greedy algorithm that decomposes any signal into a linear expansion of waveforms taken from a redundant dictionary, by iteratively picking the wav ...
The benefits obtained from the decomposition of a classification task involving several classes, into a set of smaller classification problems involving two classes only, usually called dichotomies, have been exposed in various occasions. Among the multipl ...
This paper proposes a multiresolution Matching Pursuit decomposition of natural images. Matching Pursuit is a greedy algorithm that decomposes any signal into a linear expansion of waveforms taken from a redundant dictionary, by iteratively picking the wav ...
A polychotomizer which assigns the input to one of K,K≥3, is constructed using a set of dichotomizers which assign the input to one of two classes. We propose techniques to construct a set of linear dichotomizers whose combined decision forms a nonl ...
