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» On detecting space-time clusters
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GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
14 years 8 months ago
Multiobjective evolutionary community detection for dynamic networks
A multiobjective genetic algorithm for detecting communities in dynamic networks, i.e., networks that evolve over time, is proposed. The approach leverages on the concept of evolu...
Francesco Folino, Clara Pizzuti
ICIP
2007
IEEE
15 years 11 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
ICMCS
2005
IEEE
126views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A HMM-Embedded Unsupervised Learning to Musical Event Detection
In this paper, an HMM-embedded unsupervised learning approach is proposed to detect the music events by grouping the similar segments of the music signal. This approach can cluste...
Sheng Gao, Yongwei Zhu
ASUNAM
2009
IEEE
15 years 2 months ago
Mining the Dynamics of Music Preferences from a Social Networking Site
In this paper we present an application of our incremental graph clustering algorithm (DENGRAPH) on a data set obtained from the music community site Last.fm. The aim of our study...
Nico Schlitter, Tanja Falkowski
BMCBI
2007
128views more  BMCBI 2007»
14 years 9 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini