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» Using clustering comparison measures for speaker recognition
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TALG
2010
158views more  TALG 2010»
13 years 3 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»
13 years 8 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»
13 years 10 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»
11 years 11 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
14 years 28 days 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