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CVPR
2007
IEEE
16 years 8 months ago
Learning Features for Tracking
We treat tracking as a matching problem of detected keypoints between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to i...
Michael Grabner, Helmut Grabner, Horst Bischof
ICML
2009
IEEE
16 years 7 months ago
Efficient learning algorithms for changing environments
We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online learner and the best decision in...
Elad Hazan, C. Seshadhri
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 7 months ago
Collusion-resistant anonymous data collection method
The availability and the accuracy of the data dictate the success of a data mining application. Increasingly, there is a need to resort to on-line data collection to address the p...
Mafruz Zaman Ashrafi, See-Kiong Ng
ICCV
2007
IEEE
16 years 28 days ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao
ITRUST
2005
Springer
16 years 3 days ago
Can We Manage Trust?
The term trust management suggests that trust can be managed, for example by creating trust, by assessing trustworthiness, or by determining optimal decisions based on specific le...
Audun Jøsang, Claudia Keser, Theodosis Dimi...