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AAAI
2011
14 years 3 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
116
Voted
CVPR
2008
IEEE
16 years 5 months ago
Recognition by association via learning per-exemplar distances
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
Tomasz Malisiewicz, Alexei A. Efros
127
Voted
MICCAI
2010
Springer
15 years 1 months ago
Manifold Learning for Biomarker Discovery in MR Imaging
We propose a framework for the extraction of biomarkers from low-dimensional manifolds representing inter- and intra-subject brain variation in MR image data. The coordinates of ea...
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel...
GRAPHICSINTERFACE
2003
15 years 4 months ago
Learning from Games: HCI Design Innovations in Entertainment Software
Computer games are one of the most successful application domains in the history of interactive systems. This success has come despite the fact that games were ‘separated at bir...
Jeff Dyck, David Pinelle, Barry Brown, Carl Gutwin
129
Voted
IEEECIT
2006
IEEE
15 years 9 months ago
ACGs: Adaptive Course Generation System - An Efficient Approach to Build E-Learning Course
Recently, adaptive course generation has been focusing by several researchers. We have built ACGs system to create adaptive courses for each learner based on evaluating demand, ab...
Anh Nguyen Viet, Dam Ho Si