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» Boosting Bayesian MAP Classification
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TROB
2008
136views more  TROB 2008»
13 years 5 months ago
Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words
Abstract--In robotic applications of visual simultaneous localization and mapping techniques, loop-closure detection and global localization are two issues that require the capacit...
Adrien Angeli, David Filliat, Stéphane Donc...
MICCAI
2002
Springer
14 years 6 months ago
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
David T. Gering, W. Eric L. Grimson, Ron Kikinis
AAAI
2008
13 years 8 months ago
Hybrid Markov Logic Networks
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
Jue Wang, Pedro Domingos
ECCV
2006
Springer
14 years 7 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang
CIVR
2008
Springer
245views Image Analysis» more  CIVR 2008»
13 years 7 months ago
Probabilistic optimized ranking for multimedia semantic concept detection via RVM
We present a probabilistic ranking-driven classifier for the detection of video semantic concept, such as airplane, building, etc. Most existing concept detection systems utilize ...
Yantao Zheng, Shi-Yong Neo, Tat-Seng Chua, Qi Tian