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» Visual Tracking with Online Multiple Instance Learning
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CLEAR
2006
Springer
145views Biometrics» more  CLEAR 2006»
13 years 11 months ago
A Joint System for Single-Person 2D-Face and 3D-Head Tracking in CHIL Seminars
We present the IBM systems submitted and evaluated within the CLEAR'06 evaluation campaign for the tasks of single person visual 3D tracking (localization) and 2D face trackin...
Gerasimos Potamianos, ZhenQiu Zhang
ECCV
2008
Springer
14 years 9 months ago
Online Sparse Matrix Gaussian Process Regression and Vision Applications
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
Ananth Ranganathan, Ming-Hsuan Yang
JFR
2010
119views more  JFR 2010»
13 years 2 months ago
Unsupervised classification of dynamic obstacles in urban environments
This paper presents a solution to the problem of unsupervised classification of dynamic obstacles in urban environments. A track-based model is introduced for the integration of 2...
Roman Katz, Juan Nieto, Eduardo Mario Nebot
CVPR
2006
IEEE
14 years 9 months ago
On-line Boosting and Vision
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
Helmut Grabner, Horst Bischof
FOCS
1995
IEEE
13 years 11 months ago
Tracking the Best Disjunction
Abstract. Littlestone developed a simple deterministic on-line learning algorithm for learning k-literal disjunctions. This algorithm (called Winnow) keeps one weight for each of t...
Peter Auer, Manfred K. Warmuth