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» Measuring Similarity between Sets of Overlapping Clusters
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MM
2005
ACM
146views Multimedia» more  MM 2005»
15 years 3 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
CORIA
2009
14 years 11 months ago
Clustering en recherche d'information : concentration vs distribution de l'information pertinente
Relying on the Cluster Hypothesis, which states that relevant documents tend to be more similar one to each other than to non-relevant ones, most of information retrieval systems p...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
JAPLL
2007
104views more  JAPLL 2007»
14 years 9 months ago
An axiomatization of family resemblance
We invoke concepts from the theory of hypergraphs to give a measure of the closeness of family resemblance, and to make precise the idea of a composite likeness. It is shown that f...
Ray E. Jennings, Dorian X. Nicholson
VLDB
1998
ACM
204views Database» more  VLDB 1998»
15 years 2 months ago
Clustering Categorical Data: An Approach Based on Dynamical Systems
Wedescribea novel approachfor clustering collectionsof sets,andits applicationto theanalysis and mining of categoricaldata. By "categorical data," we meantableswith fiel...
David Gibson, Jon M. Kleinberg, Prabhakar Raghavan
ICASSP
2011
IEEE
14 years 1 months ago
An utterance comparison model for speaker clustering using factor analysis
We propose a novel utterance comparison model based on probability theory and factor analysis that computes the likelihood of two speech utterances originating from the same speak...
Woojay Jeon, Changxue Ma, Dusan Macho