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COLT
2008
Springer
15 years 5 months ago
Learning Coordinate Gradients with Multi-Task Kernels
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
Yiming Ying, Colin Campbell
CVPR
2007
IEEE
16 years 6 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
CVPR
2008
IEEE
16 years 6 months ago
Modeling and generating complex motion blur for real-time tracking
This article addresses the problem of real-time visual tracking in presence of complex motion blur. Previous authors have observed that efficient tracking can be obtained by match...
Christopher Mei, Ian Reid
TEC
2010
191views more  TEC 2010»
14 years 10 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris
MICCAI
2007
Springer
16 years 5 months ago
Combinatorial Optimization for Electrode Labeling of EEG Caps
Abstract. An important issue in electroencephalographiy (EEG) experiments is to measure accurately the three dimensional (3D) positions of the electrodes. We propose a system where...
Jean-Michel Badier, Mickaël Péchaud, R...