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ICMI
2009
Springer
162views Biometrics» more  ICMI 2009»
16 years 1 months ago
Multi-modal features for real-time detection of human-robot interaction categories
Social interactions unfold over time, at multiple time scales, and can be observed through multiple sensory modalities. In this paper, we propose a machine learning framework for ...
Ian R. Fasel, Masahiro Shiomi, Pilippe-Emmanuel Ch...
ICML
2004
IEEE
16 years 7 months ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
ICALT
2009
IEEE
16 years 1 months ago
Indicators for Deducting the Learners' Learning Styles: Case of the Navigation Typology Indicator
Research in individual differences and in particular, learning and cognitive style, has become a basis to consider learner preferences in a web-based educational context. How lear...
Nabila Bousbia, Jean-Marc Labat, Issam Rebaï,...
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
17 years 1 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
ILP
2004
Springer
15 years 12 months ago
First Order Random Forests with Complex Aggregates
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...