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CVPR
2012
IEEE
13 years 8 months ago
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis
ICML
2008
IEEE
16 years 7 months ago
An object-oriented representation for efficient reinforcement learning
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
Carlos Diuk, Andre Cohen, Michael L. Littman
ECTEL
2010
Springer
15 years 4 months ago
How to Share and Reuse Learning Resources: The ARIADNE Experience
ARIADNE is a European foundation that aims to foster "Share and Reuse" of learning resources. To support this goal, ARIADNE has created an infrastructure for managing lea...
Joris Klerkx, Bram Vandeputte, Gonzalo Parra, Jos&...
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ICASSP
2011
IEEE
14 years 10 months ago
Learning a discriminative visual codebook using homonym scheme
This paper studies a method for learning a discriminative visual codebook for various computer vision tasks such as image categorization and object recognition. The performance of...
SeungRyul Baek, Chang D. Yoo, Sungrack Yun
CVPR
2009
IEEE
17 years 1 months ago
Visual Tracking with Online Multiple Instance Learning
In this paper, we address the problem of learning an adaptive appearance model for object tracking. In particular, a class of tracking techniques called “tracking by detectionâ...
Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie