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» Efficient Learning to Label Images
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ISBI
2007
IEEE
15 years 4 months ago
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images
In this paper, multi-modal Magnetic Resonance (MR) images are integrated into a tissue profile that aims at differentiating tumor components, edema and normal tissue. This is achi...
Hongmin Cai, Ragini Verma, Yangming Ou, Seung-koo ...
CVPR
2009
IEEE
16 years 5 months ago
Contextual Classification with Functional Max-Margin Markov Networks
We address the problem of label assignment in computer vision: given a novel 3-D or 2-D scene, we wish to assign a unique label to every site (voxel, pixel, superpixel, etc.). To...
Daniel Munoz, James A. Bagnell, Martial Hebert, Ni...
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CVPR
2007
IEEE
16 years 6 days ago
Virtual Training for Multi-View Object Class Recognition
Our goal is to circumvent one of the roadblocks to using existing approaches for single-view recognition for achieving multi-view recognition, namely, the need for sufficient trai...
Han-Pang Chiu, Leslie Pack Kaelbling, Tomás...
CVPR
2007
IEEE
16 years 6 days ago
Multi-label image segmentation via max-sum solver
We formulate single-image multi-label segmentation into regions coherent in texture and color as a MAX-SUM problem for which efficient linear programming based solvers have recent...
Branislav Micusík, Tomás Pajdla
IJACTAICIT
2010
200views more  IJACTAICIT 2010»
14 years 7 months ago
An Intelligent Framework for Natural Object Identification in Images
Human superiority over computers in identifying natural objects like clouds, water, grass etc. comes from two capabilities: the capability to maintain a growing knowledge base per...
Aasia Khanum