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ESANN
2001
14 years 11 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser
AIIDE
2009
14 years 11 months ago
Using Semantics to Improve the Design of Game Worlds
Design of game worlds is becoming more and more laborintensive because of the increasing demand and complexity of content. This is being partially addressed by developing semi-aut...
Tim Tutenel, Ruben Michaël Smelik, Rafael Bid...
ICML
2007
IEEE
15 years 10 months ago
Map building without localization by dimensionality reduction techniques
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
Takehisa Yairi
HT
2004
ACM
15 years 3 months ago
Experiences migrating microcosm learning materials
Microcosm was an open hypertext system that evolved in the early 1990s, before the advent of the Web. Apart from its success as a research platform it was widely used for presenti...
H. C. Davis, R. A. Bacon
ICIP
2006
IEEE
15 years 11 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen