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» On Fitting Mixture Models
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GFKL
2007
Springer
139views Data Mining» more  GFKL 2007»
15 years 11 months ago
The Noise Component in Model-based Cluster Analysis
The so-called noise-component has been introduced by Banfield and Raftery (1993) to improve the robustness of cluster analysis based on the normal mixture model. The idea is to ad...
Christian Hennig, Pietro Coretto
ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
15 years 11 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
150
Voted
TSP
2008
178views more  TSP 2008»
15 years 4 months ago
Extended Object Tracking Using Monte Carlo Methods
Abstract-- This paper addresses the problem of tracking extended objects, such as ships or a convoy of vehicles moving in urban environment. Two Monte Carlo techniques for extended...
Donka S. Angelova, Lyudmila Mihaylova
130
Voted
ICAT
2003
IEEE
15 years 10 months ago
Food Simulator
The Food Simulator is a haptic interface that presents biting force. A taste of food arises from mixture of chemical, auditory, olfactory and haptic sensation. Haptic sensation wh...
Hiroo Iwata, Hiroaki Yano, Takahiro Uemura, Tetsur...
150
Voted
INTERSPEECH
2010
14 years 12 months ago
Sparse component analysis for speech recognition in multi-speaker environment
Sparse Component Analysis is a relatively young technique that relies upon a representation of signal occupying only a small part of a larger space. Mixtures of sparse components ...
Afsaneh Asaei, Hervé Bourlard, Philip N. Ga...