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» Conjugate Mixture Models for Clustering Multimodal Data
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ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
15 years 2 months ago
Scalable Model-based Clustering by Working on Data Summaries
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
TMM
2011
177views more  TMM 2011»
14 years 4 months ago
MIMiC: Multimodal Interactive Motion Controller
Abstract—We introduce a new algorithm for real-time interactive motion control and demonstrate its application to motion captured data, pre-recorded videos and HCI. Firstly, a da...
Dumebi Okwechime, Eng-Jon Ong, Richard Bowden
AUSAI
2009
Springer
15 years 4 months ago
Enhancing MML Clustering Using Context Data with Climate Applications
Abstract. In Minimum Message Length (MML) clustering (unsupervised classification, mixture modelling) the aim is to infer a set of classes that best explains the observed data ite...
Gerhard Visser, David L. Dowe, Petteri Uotila
SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
15 years 3 months ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie
GI
2007
Springer
15 years 3 months ago
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection
: Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background s...
Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell