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» Dynamic Cluster Formation Using Level Set Methods
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ECCV
2006
Springer
13 years 9 months ago
Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets
Abstract. We present a new algorithm for segmenting a scene consisting of multiple moving dynamic textures. We model the spatial statistics of a dynamic texture with a set of secon...
Atiyeh Ghoreyshi, René Vidal
IDA
1999
Springer
13 years 9 months ago
Discovering Dynamics Using Bayesian Clustering
Abstract. This paper introduces a Bayesian method for clustering dynamic processes and applies it to the characterization of the dynamics of a military scenario. The method models ...
Paola Sebastiani, Marco Ramoni, Paul R. Cohen, Joh...
WEBI
2004
Springer
13 years 10 months ago
Using Semantic Graphs in Clustering Process : Enhance Information Level
In this paper, we particularly focused our attention on how to enhance expressivity of ontologies when used as organized space values in a catalogue request process. Using the Wis...
Jean-Sébastien Brunner, Isabelle Berrien
MICCAI
2008
Springer
14 years 6 months ago
A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity
Abstract. This paper presents a variational level set approach to joint segmentation and bias correction of images with intensity inhomogeneity. Our method is based on an observati...
Chunming Li, Rui Huang, Zhaohua Ding, Chris Gat...
JMM2
2007
122views more  JMM2 2007»
13 years 5 months ago
Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
Justin Muncaster, Yunqian Ma