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» Using clustering comparison measures for speaker recognition
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PRIS
2004
13 years 8 months ago
Comparison of Combination Methods using Spectral Clustering Ensembles
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
André Lourenço, Ana L. N. Fred
MICCAI
2009
Springer
14 years 8 months ago
A Cluster Overlap Measure for Comparison of Activations in fMRI Studies
Abstract. Most fMRI studies use voxel-wise statistics to carry out intrasubject as well as inter-subject analysis. We show that statistics derived from voxel-wise comparisons are l...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar ...
ICML
2009
IEEE
14 years 8 months ago
Information theoretic measures for clusterings comparison: is a correction for chance necessary?
Information theoretic based measures form a fundamental class of similarity measures for comparing clusterings, beside the class of pair-counting based and set-matching based meas...
Xuan Vinh Nguyen, Julien Epps, James Bailey
SPEECH
2008
97views more  SPEECH 2008»
13 years 7 months ago
Extraction and representation of prosodic features for language and speaker recognition
In this paper, we propose a new approach for extracting and representing prosodic features directly from the speech signal. We hypothesize that prosody is linked to linguistic uni...
Leena Mary, B. Yegnanarayana
PRL
2002
70views more  PRL 2002»
13 years 7 months ago
On the use of nearest feature line for speaker identification
As a new pattern classification method, nearest feature line (NFL) provides an effective way to tackle the sort of pattern recognition problems where only limited data are availab...
Ke Chen 0001, Ting-Yao Wu, HongJiang Zhang