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» Mixture Models and the Segmentation of Multimodal Textures
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CVPR
2008
IEEE
14 years 7 months ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum
ICMI
2010
Springer
172views Biometrics» more  ICMI 2010»
13 years 3 months ago
Modelling and analyzing multimodal dyadic interactions using social networks
Social network analysis became a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore th...
Sergio Escalera, Petia Radeva, Jordi Vitrià...
MICCAI
1998
Springer
13 years 9 months ago
Multi-modal Volume Registration Using Joint Intensity Distributions
Abstract. The registration of multimodal medical images is an important tool in surgical applications, since different scan modalities highlight complementary anatomical structures...
Michael E. Leventon, W. Eric L. Grimson
ICMCS
2008
IEEE
211views Multimedia» more  ICMCS 2008»
13 years 11 months ago
A real-time video surveillance system with human occlusion handling using nonlinear regression
This paper presents a real-time single-camera surveillance system, aiming at detecting and partly analyzing a group of people. A set of moving persons is segmented using a combina...
Jungong Han, Minwei Feng, Peter H. N. de With
CVPR
1999
IEEE
14 years 7 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann