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» Scaled Motion Dynamics for Markerless Motion Capture
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TMI
2010
208views more  TMI 2010»
14 years 4 months ago
Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE
As decisions in cardiology increasingly rely on non-invasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best ...
Razvan Ioan Ionasec, Ingmar Voigt, Bogdan Georgesc...
KDD
2009
ACM
207views Data Mining» more  KDD 2009»
15 years 10 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...
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
15 years 4 months 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...
IROS
2008
IEEE
250views Robotics» more  IROS 2008»
15 years 4 months ago
Centroidal Momentum Matrix of a humanoid robot: Structure and properties
— The centroidal momentum of a humanoid robot is the sum of the individual link momenta, after projecting each to the robot’s Center of Mass (CoM). Centroidal momentum is a lin...
David E. Orin, Ambarish Goswami
IJRR
2010
115views more  IJRR 2010»
14 years 7 months ago
Improving the Efficiency of Clearing with Multi-agent Teams
We present an anytime algorithm for coordinating multiple autonomous searchers to find a potentially adversarial target on a graphical representation of a physical environment. Th...
Geoffrey Hollinger, Sanjiv Singh, Athanasios Kehag...