Sciweavers

BC
2002
91views more  BC 2002»
13 years 4 months ago
Linear combinations of nonlinear models for predicting human-machine interface forces
ACT This study presents a computational framework that capitalizes on known human neuromechanical characteristics during limb movements in order to predict man-machine interactions...
James L. Patton, Ferdinando A. Mussa-Ivaldi
UAI
2001
13 years 5 months ago
Instrumentality Tests Revisited
An instrument is a random variable that is uncorrelated with certain (unobserved) error terms and, thus, allows the identification of structural parameters in linear models. In no...
Blai Bonet
HAPTICS
2007
IEEE
13 years 10 months ago
Force Feedback is Noticeably Different for Linear versus Nonlinear Elastic Tissue Models
Realistic modeling of the interaction between surgical instruments and human organs has been recognized as a key requirement in the development of high-fidelity surgical simulato...
Sarthak Misra, Allison M. Okamura, K. T. Ramesh
CDC
2008
IEEE
170views Control Systems» more  CDC 2008»
13 years 10 months ago
Modeling and control of the protein synthesis process in eukaryotic cells
— Protein synthesis is an essential process of cell cycle and growth in eukaryotic cells. The initiation stage of the translation process is known to be the most crucial in regul...
Nadav S. Bar, Rahmi Lale
CVPR
2007
IEEE
14 years 6 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic