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AIPS
1994
15 years 6 months ago
Robot Motion Planning Integrating Planning Strategies and Learning Methods
Robot motion planning in a dynamic cluttered workspace requires the capability of dealing with obstacles and deadlock situations. The paper analyzes situations where the robot is ...
Luca Maria Gambardella, Cristina Versino
JACIII
2006
97views more  JACIII 2006»
15 years 5 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
CVPR
2011
IEEE
15 years 1 months ago
Learning to Share Visual Appearance for Multiclass Object Detection
We present a hierarchical classification model that allows rare objects to borrow statistical strength from related objects that have many training examples. Unlike many of the e...
Ruslan Salakhutdinov, Antonio Torralba, Josh Tenen...
AAAI
2008
15 years 8 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
134
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NIPS
2007
15 years 7 months ago
A learning framework for nearest neighbor search
Can we leverage learning techniques to build a fast nearest-neighbor (ANN) retrieval data structure? We present a general learning framework for the NN problem in which sample que...
Lawrence Cayton, Sanjoy Dasgupta