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» Learning to Improve both Efficiency and Quality of Planning
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NIPS
2008
13 years 10 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
13 years 10 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
14 years 10 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
13 years 10 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
14 years 10 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