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» Learning to Track with Multiple Observers
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MVA
1998
154views Computer Vision» more  MVA 1998»
13 years 9 months ago
Clustering of Learning Images and Generation of Multiple Prototypes for Object Recognition
common features in all learning objects only. The In this paper, we propose two methods of clustering learning images to generate prototypes automatically for object recognition. O...
Jin Jia, Keiichi Abe
AUTOMATICA
2007
103views more  AUTOMATICA 2007»
13 years 7 months ago
Adaptive learning control of linear systems by output error feedback
: This paper addresses the problem of designing an output error feedback tracking control for single-input, single-output, minimum phase, observable linear systems. The reference o...
Stefano Liuzzo, Riccardo Marino, Patrizio Tomei
ISMAR
2009
IEEE
14 years 2 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
ICASSP
2011
IEEE
12 years 11 months ago
Efficient implementation of probabilistic multi-pitch tracking
We significantly improve the computational efficiency of a probabilistic approach for multiple pitch tracking. This method is based on a factorial hidden Markov model and two al...
Michael Wohlmayr, Robert Peharz, Franz Pernkopf
TSP
2010
13 years 2 months ago
Distributed learning in multi-armed bandit with multiple players
We formulate and study a decentralized multi-armed bandit (MAB) problem. There are distributed players competing for independent arms. Each arm, when played, offers i.i.d. reward a...
Keqin Liu, Qing Zhao