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ICCV
2003
IEEE
16 years 6 months ago
Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
Lior Wolf, Amnon Shashua
156
Voted
CVPR
2005
IEEE
16 years 6 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
133
Voted
FCS
2008
15 years 5 months ago
Autonomous Scheduling
Abstract. Autonomous scheduling deals with the problem - how to enable agents to schedule a set of interdependent tasks in such a way that whatever schedule they choose for their t...
Chetan Yadati, Cees Witteveen, Yingqian Zhang, Men...
RSS
2007
119views Robotics» more  RSS 2007»
15 years 5 months ago
Emergent Task Allocation for Mobile Robots
— Multi-robot systems require efficient and accurate planning in order to perform mission-critical tasks. However, algorithms that find the optimal solution are usually computa...
Nuzhet Atay, O. Burçhan Bayazit
EAAI
2010
130views more  EAAI 2010»
15 years 4 months ago
Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion
This paper addresses the problem of fault detection and isolation in railway track circuits. A track circuit can be considered as a large-scale system composed of a series of trim...
Latifa Oukhellou, Alexandra Debiolles, Thierry Den...