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» Learning Object Context for Adaptive Learning Design
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AIIDE
2008
15 years 4 months ago
Adaptive Spatial Reasoning for Turn-based Strategy Games
The quality of AI opponents often leaves a lot to be desired, which poses many attractive challenges for AI researchers. In this respect, Turn-based Strategy (TBS) games are of pa...
Maurice H. J. Bergsma, Pieter Spronck
IUI
2000
ACM
15 years 6 months ago
Expression constraints in multimodal human-computer interaction
Thanks to recent scientific advances, it is now possible to design multimodal interfaces allowing the use of speech and pointing out gestures on a touchscreen. However, present sp...
Sandrine Robbe-Reiter, Noelle Carbonell, Pierre Da...
ICPR
2008
IEEE
16 years 3 months ago
Human tracking based on Soft Decision Feature and online real boosting
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
Hironobu Fujiyoshi, Masato Kawade, Shihong Lao, Ta...
CVPR
2012
IEEE
13 years 4 months ago
Large-scale knowledge transfer for object localization in ImageNet
ImageNet is a large-scale database of object classes with millions of images. Unfortunately only a small fraction of them is manually annotated with bounding-boxes. This prevents ...
Matthieu Guillaumin, Vittorio Ferrari
DAGSTUHL
2009
15 years 3 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...