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CVPR
2008
IEEE
14 years 9 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, ...
ICCV
2007
IEEE
14 years 9 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
UAI
2004
13 years 8 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
ICICS
2007
Springer
14 years 1 months ago
Collecting Autonomous Spreading Malware Using High-Interaction Honeypots
Autonomous spreading malware in the form of worms or bots has become a severe threat in today’s Internet. Collecting the sample as early as possible is a necessary precondition f...
Jianwei Zhuge, Thorsten Holz, Xinhui Han, Chengyu ...
ICCV
2007
IEEE
14 years 9 months ago
Finite-Element Level-Set Curve Particles
Particle filters encode a time-evolving probability density by maintaining a random sample from it. Level sets represent closed curves as zero crossings of functions of two variab...
Tingting Jiang, Carlo Tomasi