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ICML
2009
IEEE
14 years 8 months ago
Trajectory prediction: learning to map situations to robot trajectories
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
Nikolay Jetchev, Marc Toussaint
HUMO
2007
Springer
14 years 1 months ago
Modeling Human Locomotion with Topologically Constrained Latent Variable Models
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...
Raquel Urtasun, David J. Fleet, Neil D. Lawrence
SASO
2008
IEEE
14 years 2 months ago
Spatial Self-Organization of Heterogeneous, Modular Architectures
Abstract— On the one hand, natural phenomena of spontaneous pattern formation are generally random and repetitive, whereas, on the other hand, complicated heterogeneous architect...
René Doursat
CVPR
2008
IEEE
14 years 9 months ago
Action recognition using ballistic dynamics
We present a Bayesian framework for action recognition through ballistic dynamics. Psycho-kinesiological studies indicate that ballistic movements form the natural units for human...
Shiv Naga Prasad Vitaladevuni, Vili Kellokumpu, La...
CVPR
2007
IEEE
14 years 2 months ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen