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» A Generative Model Based Approach to Motion Segmentation
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149
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EMMCVPR
2011
Springer
14 years 2 months ago
Multiple-Instance Learning with Structured Bag Models
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
Jonathan Warrell, Philip H. S. Torr
158
Voted
ECCV
2006
Springer
16 years 4 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
ATAL
2006
Springer
15 years 4 months ago
An argumentation based approach for practical reasoning
We build on recent work on argumentation frameworks for generating desires and plans. We provide a rich instantiDung's abstract argumentation framework for (i) generating con...
Iyad Rahwan, Leila Amgoud
120
Voted
ARGMAS
2006
Springer
15 years 6 months ago
An Argumentation-Based Approach for Practical Reasoning
We build on recent work on argumentation frameworks for generating desires and plans. We provide a rich instantiDung's abstract argumentation framework for (i) generating con...
Iyad Rahwan, Leila Amgoud
339
Voted

Publication
1851views
17 years 3 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...