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» Discrete Mixture Models for Unsupervised Image Segmentation
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ECCV
2008
Springer
14 years 10 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
DAGM
2006
Springer
14 years 19 days ago
Near Real-Time Motion Segmentation Using Graph Cuts
We present a new approach to integrated motion estimation and segmentation by combining methods from discrete and continuous optimization. The velocity of each of a set of regions ...
Thomas Schoenemann, Daniel Cremers
MICCAI
2009
Springer
14 years 10 months ago
A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI
We present a novel fuzzy region-based hidden Markov model (frbHMM) for unsupervised partial-volume classification in brain magnetic resonance images (MRIs). The primary contributio...
Albert Huang, Rafeef Abugharbieh, Roger Tam
ICVGIP
2004
13 years 10 months ago
Learning Layered Pictorial Structures from Video
We propose a new unsupervised learning method to obtain a layered pictorial structure (LPS) representation of an articulated object from video sequences. It will be seen that this...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
14 years 1 months ago
Segmenting Hands of Arbitrary Color
Colorhasbeen widelyused for handsegmentation. However, many approaches rely on predefined skin color models. It is very difficult to predefine a color model in a mobile applica...
Xiaojin Zhu, Jie Yang, Alex Waibel