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» On the Competitive Complexity of Navigation Tasks
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EMNLP
2006
13 years 6 months ago
Competitive generative models with structure learning for NLP classification tasks
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
Kristina Toutanova
TPCG
2003
IEEE
13 years 10 months ago
Guided Navigation in Task-Oriented 3D Graph Visualizations
In many application areas an optimal visualization of a complex graph depends on the specific task to be accomplished by the user. Therefore a means of locally customizable layou...
Guido Reina, Sven Lange-Last, Klaus D. Engel, Thom...
ICDAR
2009
IEEE
13 years 11 months ago
ICDAR 2009 Book Structure Extraction Competition
This paper introduces the Book Structure Extraction competition run at ICDAR 2009. The goal of the competition is to evaluate and compare automatic techniques for deriving structu...
Antoine Doucet, Gabriella Kazai, Bodin Dresevic, A...
IJDAR
2011
114views more  IJDAR 2011»
12 years 12 months ago
Setting up a competition framework for the evaluation of structure extraction from OCR-ed books
Abstract. This paper describes the setup of the Book Structure Extraction competition run at ICDAR 2009. The goal of the competition was to evaluate and compare automatic technique...
Antoine Doucet, Gabriella Kazai, Bodin Dresevic, A...
IJRR
2010
177views more  IJRR 2010»
13 years 3 months ago
Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain
Rough terrain autonomous navigation continues to pose a challenge to the robotics community. Robust navigation by a mobile robot depends not only on the individual performance of ...
David Silver, J. Andrew Bagnell, Anthony Stentz