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» Using clustering comparison measures for speaker recognition
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TALG
2010
158views more  TALG 2010»
14 years 6 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...
JMLR
2008
148views more  JMLR 2008»
14 years 11 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
LREC
2010
134views Education» more  LREC 2010»
15 years 1 months ago
Comparison of Spectral Properties of Read, Prepared and Casual Speech in French
In this paper, we investigate the acoustic properties of phonemes in three speaking styles: read speech, prepared speech and spontaneous speech. Our aim is to better understand wh...
Jean-Luc Rouas, Mayumi Beppu, Martine Adda-Decker
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 2 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
ICAPR
2001
Springer
15 years 4 months ago
Image Retrieval Using a Hierarchy of Clusters
The goal of this paper is to describe an efficient procedure for color-based image retrieval. The proposed procedure consists of two stages. First, the image data set is hierarchi...
Daniela Stan, Ishwar K. Sethi