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ECML
2006
Springer
15 years 7 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
162
Voted
ICCV
2007
IEEE
15 years 5 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
IPPS
1998
IEEE
15 years 8 months ago
Performance Prediction in Production Environments
Accurate performance predictions are difficult to achieve for parallel applications executing on production distributed systems. Conventional point-valued performance parameters a...
Jennifer M. Schopf, Francine Berman
ICRA
2007
IEEE
162views Robotics» more  ICRA 2007»
15 years 10 months ago
Feedback linearization and simultaneous stiffness-position control of robots with antagonistic actuated joints
— In this paper, the dynamic model of a robot with antagonistic actuated joints is presented, and the problem of full linearization via static state feedback is analyzed. The use...
Gianluca Palli, Claudio Melchiorri, Thomas Wimb&ou...
141
Voted
ICCV
2007
IEEE
15 years 10 months ago
Pose and Gaze Estimation in Multi-camera Networks for Non-restrictive HCI
Multi-camera networks offer potentials for a variety of novel human-centric applications through provisioning of rich visual information. In this paper, face orientation analysis ...
Chung-Ching Chang, Chen Wu, Hamid K. Aghajan