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» Image Based Regression Using Boosting Method
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CVPR
2004
IEEE
14 years 10 months ago
BoostMap: A Method for Efficient Approximate Similarity Rankings
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
PRL
2008
213views more  PRL 2008»
13 years 8 months ago
Boosting recombined weak classifiers
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
Juan José Rodríguez, Jesús Ma...
MICCAI
2010
Springer
13 years 6 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
IROS
2007
IEEE
101views Robotics» more  IROS 2007»
14 years 2 months ago
Optimizing image and camera trajectories in robot vision control using on-line boosting
— In this paper, we present a novel boosted robot vision control algorithm. The method utilizes on-line boosting to produce a strong vision-based robot control starting from two ...
A. H. Abdul Hafez, Enric Cervera, C. V. Jawahar
TITB
2010
77views Education» more  TITB 2010»
13 years 3 months ago
Automatic detection of bioabsorbable coronary stents in IVUS images using a cascade of classifiers
Bioabsorbable drug-eluting coronary stents present a very promising improvement to the common metallic ones solving some of the most important problems of stent implantation: the l...
David Rotger, Petia Radeva, Nico Bruining