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SIGPRO
2008
74views more  SIGPRO 2008»
15 years 3 months ago
Speaker segmentation and clustering
This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding speaker change points in...
Margarita Kotti, Vassiliki Moschou, Constantine Ko...
132
Voted
ML
2002
ACM
128views Machine Learning» more  ML 2002»
15 years 3 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
111
Voted
RECOMB
2008
Springer
16 years 4 months ago
Reconstructing the Evolutionary History of Complex Human Gene Clusters
Abstract. Clusters of genes that evolved from single progenitors via repeated segmental duplications present significant challenges to the generation of a truly complete human geno...
Adam C. Siepel, Eric D. Green, Giltae Song, Tom&aa...
130
Voted
BMCBI
2007
135views more  BMCBI 2007»
15 years 3 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
123
Voted
ICTAI
2009
IEEE
15 years 10 months ago
FlockStream: A Bio-Inspired Algorithm for Clustering Evolving Data Streams
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
Agostino Forestiero, Clara Pizzuti, Giandomenico S...