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» On Fitting Mixture Models
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INFOCOM
2009
IEEE
15 years 6 months ago
Robust Event Boundary Detection in Sensor Networks - A Mixture Model Based Approach
—Detecting event frontline or boundary sensors in a complex sensor network environment is one of the critical problems for sensor network applications. In this paper, we propose ...
Min Ding, Xiuzhen Cheng
WSC
2004
15 years 1 months ago
Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...
Zdravko I. Botev, Dirk P. Kroese
ICIP
2006
IEEE
16 years 1 months ago
Video Event Detection using ICA Mixture Hidden Markov Models
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
Jian Zhou, Xiao-Ping Zhang
ICML
2003
IEEE
16 years 20 days ago
Learning Mixture Models with the Latent Maximum Entropy Principle
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...
Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin...
ICASSP
2007
IEEE
15 years 6 months ago
Query by Example of Audio Signals using Euclidean Distance Between Gaussian Mixture Models
Query by example of multimedia signals aims at automatic retrieval of media samples from a database, which are similar to a userprovided example. This paper proposes a method for ...
Marko Helén, Tuomas Virtanen