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» Learning to Improve both Efficiency and Quality of Planning
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NIPS
2008
15 years 3 months ago
Learning Taxonomies by Dependence Maximization
We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
Matthew B. Blaschko, Arthur Gretton
AAAI
1996
15 years 3 months ago
Integrating Grid-Based and Topological Maps for Mobile Robot Navigation
Research on mobile robot navigation has produced two major paradigms for mapping indoorenvironments: grid-based and topological. While grid-based methods produce accurate metric m...
Sebastian Thrun, Arno Bücken
ICIP
2006
IEEE
16 years 3 months ago
Improved Unsymmetric-Cross Multi-Hexagon-Grid Search Algorithm for Fast Block Motion Estimation
We develop a set of new motion estimation (ME) algorithms based mainly on Unsymmetric-Cross Multi-Hexagon-Grid Search (UMH). The original algorithms are improved by applying the S...
Janne Heikkilä, Tuukka Toivonen
ISTAR
2008
15 years 3 months ago
Improving the Syntax and Semantics of Goal Modelling Languages
One major obstacle to requirements engineering (RE) is the growing complexity of today's systems. Such a complexity can only be fficiently by powerful abstraction mechanisms a...
Raimundas Matulevicius
ICPR
2008
IEEE
16 years 3 months ago
Using web search engines to improve text recognition
In this paper we introduce a framework for automated text recognition from images. We first describe a simple but efficient text detection and recognition method based on analysis...
Horst Bischof, Michael Donoser, Silke Wagner