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KDD
2009
ACM
207views Data Mining» more  KDD 2009»
16 years 5 months ago
DynaMMo: mining and summarization of coevolving sequences with missing values
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
Lei Li, James McCann, Nancy S. Pollard, Christos F...
CVPR
2010
IEEE
16 years 1 months ago
Spike Train Driven Dynamical Models for Human Actions
We investigate dynamical models of human motion that can support both synthesis and analysis tasks. Unlike coarser discriminative models that work well when action classes are ...
Michalis Raptis, Kamil Wnuk , Stefano Soatto
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
16 years 8 hour ago
Imitation learning with generalized task descriptions
— In this paper, we present an approach that allows a robot to observe, generalize, and reproduce tasks observed from multiple demonstrations. Motion capture data is recorded in ...
Clemens Eppner, Jürgen Sturm, Maren Bennewitz...
109
Voted
PIMRC
2008
IEEE
15 years 11 months ago
On-body wireless inertial sensing foot control applications
In recent years, the use of inertial sensing for body motion recognition has been demonstrated. However, existing work generally focuses on upper-body movements, which involve smal...
Lawrence Cheng, Stephen Hailes
162
Voted
WACV
2008
IEEE
15 years 11 months ago
Robust Human Pose Recognition Using Unlabelled Markers
In this paper, we tackle robust human pose recognition using unlabelled markers obtained from an optical marker-based motion capture system. A coarse-to-fine fast pose matching al...
Yi Wang, Gang Qian