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» On Combining Dissimilarity Representations
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ICASSP
2007
IEEE
14 years 2 months ago
Quantized Sparse Approximation with Iterative Thresholding for Audio Coding
Sparse coding is a new field in signal processing with possible applications to source coding. In this paper we present a new method that combines the problems of sparse signal a...
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davie...
AAAI
2000
13 years 9 months ago
A Flexible Framework for Defeasible Logics
Logics for knowledge representation suffer from overspecialization: while each logic may provide an ideal representation formalism for some problems, it is less than optimal for o...
Grigoris Antoniou, David Billington, Guido Governa...
OTM
2005
Springer
14 years 1 months ago
Hybrid Model for Semantic Similarity Measurement
Expressive knowledge representations with flexible semantic similarity measures are central for the functioning of semantic information retrieval, information integration, matchmak...
Angela Schwering
NIPS
2001
13 years 9 months ago
Partially labeled classification with Markov random walks
To classify a large number of unlabeled examples we combine a limited number of labeled examples with a Markov random walk representation over the unlabeled examples. The random w...
Martin Szummer, Tommi Jaakkola
EXPERT
1998
83views more  EXPERT 1998»
13 years 7 months ago
Data-Driven Constructive Induction
Constructive induction divides the problem of learning an inductive hypothesis into two intertwined searches: one—for the “best” representation space, and two—for the “be...
Eric Bloedorn, Ryszard S. Michalski