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MICCAI
2010
Springer
15 years 5 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
SIGMETRICS
2010
ACM
208views Hardware» more  SIGMETRICS 2010»
15 years 11 months ago
Dynamics in congestion games
Game theoretic modeling and equilibrium analysis of congestion games have provided insights in the performance of Internet congestion control, road transportation networks, etc. D...
Devavrat Shah, Jinwoo Shin
PODC
2009
ACM
16 years 7 months ago
Fast distributed random walks
Performing random walks in networks is a fundamental primitive that has found applications in many areas of computer science, including distributed computing. In this paper, we fo...
Atish Das Sarma, Danupon Nanongkai, Gopal Panduran...
CVPR
2009
IEEE
17 years 2 months ago
Stochastic Gradient Kernel Density Mode-Seeking
As a well known fixed-point iteration algorithm for kernel density mode-seeking, Mean-Shift has attracted wide attention in pattern recognition field. To date, Mean-Shift algorit...
Xiaotong Yuan, Stan Z. Li
ICCV
2009
IEEE
1052views Computer Vision» more  ICCV 2009»
16 years 11 months ago
A direct approach for efficiently tracking with 3D Morphable Models
We present an efficient algorithm for fitting a morphable model to an image sequence. It is built on a projective geometry formulation of perspective projection, which results in a...
Enrique Muñoz, José M. Buenaposada, Luis Baumela