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2007
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13 years 9 months ago
Spatially-Adaptive Learning Rates for Online Incremental SLAM
— Several recent algorithms have formulated the SLAM problem in terms of non-linear pose graph optimization. These algorithms are attractive because they offer lower computationa...
Edwin Olson, John J. Leonard, Seth J. Teller
IJCAI
2007
13 years 9 months ago
Online Speed Adaptation Using Supervised Learning for High-Speed, Off-Road Autonomous Driving
The mobile robotics community has traditionally addressed motion planning and navigation in terms of steering decisions. However, selecting the best speed is also important – be...
David Stavens, Gabriel Hoffmann, Sebastian Thrun
COLT
2005
Springer
13 years 9 months ago
Loss Bounds for Online Category Ranking
Category ranking is the task of ordering labels with respect to their relevance to an input instance. In this paper we describe and analyze several algorithms for online category r...
Koby Crammer, Yoram Singer
ICALT
2003
IEEE
14 years 25 days ago
Constructivism vs. Objectivism: Where is difference for Designers of e-Learning Environments?
This position paper discusses different philosophical views of learning and the consequences of these different epistemologies on the design of online learning environments. Acade...
Miguel Baptista Nunes, Maggie McPherson
CVBIA
2005
Springer
14 years 1 months ago
A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints
In this paper we present a new framework for image segmentation using probabilistic multinets. We apply this framework to integration of regionbased and contour-based segmentation ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas