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BC
2002
91views more  BC 2002»
15 years 3 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
ML
2002
ACM
128views Machine Learning» more  ML 2002»
15 years 3 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
ICIP
2008
IEEE
16 years 5 months ago
Complexity modeling of spatial and temporal compensations in H.264/AVC decoding
Abstract-- Complexity modeling of spatial-temporal compensations in H.264/AVC decoding is performed by examining a rich set of inter- and intra-prediction modes. Specifically, we s...
Szu-Wei Lee, C. C. Jay Kuo
PERCOM
2005
ACM
16 years 3 months ago
Modeling Context-Aware e-Learning Scenarios
In the last decade, e-learning has been introduced to a variety of blended learning scenarios, such as life-long learning, University lectures, and game-based learning. In all the...
Michael Derntl, Karin Anna Hummel
WEBI
2005
Springer
15 years 9 months ago
Information Domain Modeling for Adaptive Web Systems
This paper presents a Domain Modeling System, which builds a domain model framework for adaptive Web systems. It records concepts and the relationships among them and represents t...
Wenpu Xing, Ali A. Ghorbani