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» Boosting Object Detection Using Feature Selection
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ICCV
2007
IEEE
16 years 3 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
ARTMED
2007
347views more  ARTMED 2007»
15 years 2 months ago
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...
SARA
2007
Springer
15 years 8 months ago
Boosting MUS Extraction
Abstract. If a CSP instance has no solution, it contains a smaller unsolvable subproblem that makes unsolvable the whole problem. When solving such instance, instead of just return...
Santiago Macho González, Pedro Meseguer
CVPR
2010
IEEE
15 years 10 months ago
Vessel Scale Selection using MRF Optimization
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
Hengameh Mirzaalian, Ghassan Hamarneh
ICIP
2007
IEEE
15 years 8 months ago
Mean-Shift Blob Tracking with Adaptive Feature Selection and Scale Adaptation
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we prop...
Dawei Liang, Qingming Huang, Shuqiang Jiang, Hongx...