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ICPR
2010
IEEE
13 years 6 months ago
A Semi-Supervised Gaussian Mixture Model for Image Segmentation
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
Adolfo Martínez-Usó, F. Pla, Jose Martínez Soto...
CRV
2008
IEEE
310views Robotics» more  CRV 2008»
13 years 6 months ago
An Efficient Region-Based Background Subtraction Technique
This paper proposes an efficient region-based background subtraction technique using static camera for motion detection in various monitoring applications. Color histograms, textu...
Parisa Darvish Zadeh Varcheie, Michael Sills-Lavoi...
ICMCS
2009
IEEE
104views Multimedia» more  ICMCS 2009»
13 years 2 months ago
A variational multi-view learning framework and its application to image segmentation
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
Zhenglong Li, Qingshan Liu, Hanqing Lu
MM
2004
ACM
149views Multimedia» more  MM 2004»
13 years 10 months ago
An adaptive skin model and its application to objectionable image filtering
We propose an adaptive skin-detection method, which allows modelling and detection of the true skin-color pixels with significantly higher accuracy and flexibility than previous...
Qiang Zhu, Ching-Tung Wu, Kwang-Ting Cheng, Yi-Leh...
MLDM
2007
Springer
13 years 11 months ago
Kernel MDL to Determine the Number of Clusters
In this paper we propose a new criterion, based on Minimum Description Length (MDL), to estimate an optimal number of clusters. This criterion, called Kernel MDL (KMDL), is particu...
Ivan O. Kyrgyzov, Olexiy O. Kyrgyzov, Henri Ma&ici...