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» Multiplicative Mixture Models for Overlapping Clustering
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ICIP
2009
IEEE
14 years 9 months ago
Object tracking using multiple fragments
This paper presents a low-cost tracking algorithm based on multiple multiple fragments, increasing robustness with respect to partial occlusions. Given the initial template repres...
Claudio R. Jung, Amir Said
PR
2008
228views more  PR 2008»
14 years 11 months ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu
BMCBI
2010
102views more  BMCBI 2010»
14 years 11 months ago
Identification of recurrent regions of copy-number variants across multiple individuals
Background: Algorithms and software for CNV detection have been developed, but they detect the CNV regions sample-by-sample with individual-specific breakpoints, while common CNV ...
Teo Shu Mei, Agus Salim, Stefano Calza, Ku Chee Se...
TASLP
2010
109views more  TASLP 2010»
14 years 10 months ago
Model-Based Expectation-Maximization Source Separation and Localization
Abstract—This paper describes a system, referred to as modelbased expectation-maximization source separation and localization (MESSL), for separating and localizing multiple soun...
Michael I. Mandel, Ron J. Weiss, Daniel P. W. Elli...
ML
2000
ACM
157views Machine Learning» more  ML 2000»
14 years 11 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins