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CP
2001
Springer
15 years 11 months ago
Optimal Pruning in Parametric Differential Equations
Initial value problems for parametric ordinary differential equations (ODEs) arise in many areas of science and engineering. Since some of the data is uncertain, traditional numer...
Micha Janssen, Pascal Van Hentenryck, Yves Deville
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
16 years 29 days ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
IJCAI
2007
15 years 7 months ago
Automatic Gait Optimization with Gaussian Process Regression
Gait optimization is a basic yet challenging problem for both quadrupedal and bipedal robots. Although techniques for automating the process exist, most involve local function opt...
Daniel J. Lizotte, Tao Wang, Michael H. Bowling, D...
CVPR
2010
IEEE
16 years 2 months ago
Fast Globally Optimal 2D Human Detection with Loopy Graph Models
This paper presents an algorithm for recovering the globally optimal 2D human figure detection using a loopy graph model. This is computationally challenging because the time comp...
Tai-Peng Tian, Stan Sclaroff
AIME
2007
Springer
16 years 19 days ago
Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....