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COLING
2002
14 years 9 months ago
Taxonomy Learning - Factoring the Structure of a Taxonomy into a Semantic Classification Decision
The paper examines different possibilities to take advantage of the taxonomic organization of a thesaurus to improve the accuracy of classifying new words into its classes. The re...
Viktor Pekar, Steffen Staab
JMLR
2012
13 years 8 days ago
Algorithms for Learning Kernels Based on Centered Alignment
This paper presents new and effective algorithms for learning kernels. In particular, as shown by our empirical results, these algorithms consistently outperform the so-called uni...
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
JMLR
2006
108views more  JMLR 2006»
14 years 9 months ago
Learning Spectral Clustering, With Application To Speech Separation
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
Francis R. Bach, Michael I. Jordan
AMR
2007
Springer
140views Multimedia» more  AMR 2007»
15 years 4 months ago
Learning Distance Functions for Automatic Annotation of Images
This paper gives an overview of recent approaches towards image representation and image similarity computation for content-based image retrieval and automatic image annotation (ca...
Josip Krapac, Frédéric Jurie
SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
15 years 2 months ago
Similarity Estimation Using Bayes Ensembles
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...