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114
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ICRA
2006
IEEE
177views Robotics» more  ICRA 2006»
15 years 9 months ago
Autonomous Shape Model Learning for Object Localization and Recognition
— Mobile robots do not adequately represent the objects in their environment; this weakness hinders a robot’s ability to utilize past experience. In this paper, we describe a s...
Joseph Modayil, Benjamin Kuipers
150
Voted
AGENTS
2001
Springer
15 years 8 months ago
Using rat navigation models to learn orientation from visual input on a mobile robot
Rodents possess extraordinary navigation abilities that are far in excess of what current state-of-the-art robot agents are capable of. This paper describes research that is part ...
Brett Browning
128
Voted
AAAI
2010
15 years 5 months ago
The Model-Based Approach to Autonomous Behavior: A Personal View
The selection of the action to do next is one of the central problems faced by autonomous agents. In AI, three approaches have been used to address this problem: the programming-b...
Hector Geffner
130
Voted
SIGPRO
2011
209views Hardware» more  SIGPRO 2011»
14 years 10 months ago
Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms
In this paper, we survey and compare different algorithms that, given an overcomplete dictionary of elementary functions, solve the problem of simultaneous sparse signal approxim...
A. Rakotomamonjy
132
Voted
ICALT
2009
IEEE
15 years 10 months ago
Adaptation Languages for Learning: The CAM Meta-model
Adaptive Hypermedia (AH) can offer a richer learning experience, tailored to students’ needs. However, authoring of AH is complex. Several models and systems have been developed...
Maurice Hendrix, Alexandra I. Cristea, Craig Stewa...