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ISMAR
2009
IEEE
15 years 11 months ago
Augmenting text document by on-line learning of local arrangement of keypoints
We propose a technique for text document tracking over a large range of viewpoints. Since the popular SIFT or SURF descriptors typically fail on such documents, our method conside...
Hideaki Uchiyama, Hideo Saito
ECCV
2006
Springer
16 years 6 months ago
Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation
In this paper we propose a Particle Filter-based propagation approach for the segmentation of vascular structures in 3D volumes. Because of pathologies and inhomogeneities, many de...
Charles Florin, Nikos Paragios, James Williams
CVPR
2010
IEEE
16 years 1 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
150
Voted
TEDU
2008
126views Education» more  TEDU 2008»
15 years 3 months ago
Online Learning and Clinical Procedures: Rapid Development and Effective Deployment of Game-Like Interactive Simulations
Abstract. Traditionally, medical education has used live patients to teach medical procedures. This carries a significant risk to patients. As learning technology advances, the ear...
Pablo Moreno-Ger, Carl Blesius, Paul Currier, Jos&...
196
Voted
JMLR
2012
13 years 7 months ago
Multi Kernel Learning with Online-Batch Optimization
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
Francesco Orabona, Jie Luo, Barbara Caputo