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» Tracking through changes in scale
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AVSS
2007
IEEE
14 years 12 months ago
A particle filter based fusion framework for video-radio tracking in smart spaces
One of the main issues for Ambient Intelligence (AmI) systems is to continuously localize the user and to detect his/her identity in order to provide dedicated services. A video-r...
Alessio Dore, Andrea F. Cattoni, Carlo S. Regazzon...
MSS
1999
IEEE
111views Hardware» more  MSS 1999»
15 years 4 months ago
Massive-Scale Data Management using Standards-Based Solutions
In common with many large institutes, CERN has traditionally developed and maintained its own data management solutions. Recently, a significant change of direction has taken plac...
Jamie Shiers
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 27 days ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
TKDE
2012
270views Formal Methods» more  TKDE 2012»
13 years 2 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
CVPR
2008
IEEE
16 years 1 months ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...