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» Learning Object Context for Adaptive Learning Design
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ICIAP
2005
ACM
16 years 3 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
131
Voted
CVPR
2009
IEEE
16 years 10 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
114
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Contextually adaptive signal representation using conditional principal component analysis
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou...
102
Voted
HUC
2007
Springer
15 years 9 months ago
Why It's Worth the Hassle: The Value of In-Situ Studies When Designing Ubicomp
How should Ubicomp technologies be evaluated? While lab studies are good at sensing aspects of human behavior and revealing usability problems, they are poor at capturing context o...
Yvonne Rogers, Kay Connelly, Lenore Tedesco, Willi...
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
15 years 1 months ago
Adaptive multi-robot coordination: A game-theoretic perspective
Multi-robot systems researchers have been investigating adaptive coordination methods for improving spatial coordination in teams. Such methods adapt the coordination method to th...
Gal A. Kaminka, Dan Erusalimchik, Sarit Kraus