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ICCV
2005
IEEE
16 years 12 days ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
EPIA
2005
Springer
16 years 10 days ago
Learning to Select Negotiation Strategies in Multi-agent Meeting Scheduling
In this paper, we look at the Multi-Agent Meeting Scheduling problem where distributed agents negotiate meeting times on behalf of their users. While many negotiation approaches ha...
Elisabeth Crawford, Manuela M. Veloso
AI
2001
Springer
15 years 11 months ago
Concept-Learning in the Presence of Between-Class and Within-Class Imbalances
In a concept learning problem, imbalances in the distribution of the data can occur either between the two classes or within a single class. Yet, although both types of imbalances ...
Nathalie Japkowicz
ICRA
2000
IEEE
101views Robotics» more  ICRA 2000»
15 years 11 months ago
Towards Programming Tools for Robots that Integrate Probabilistic Computation and Learning
This paper describes a programming language extension of C++, called CES, specifically targeted towards mobile robot control. CES’s design is motivated by a recent series of su...
Sebastian Thrun
CHI
1999
ACM
15 years 11 months ago
Bridging Strategies for VR-Based Learning
A distributed immersive virtual environment was deployed as a component of a pedagogical strategy for teaching third grade children that the Earth is round. The displacement strat...
Thomas G. Moher, Andrew E. Johnson, Stellan Ohlsso...