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» Arguing from Experience to Classifying Noisy Data
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IJRR
2002
98views more  IJRR 2002»
13 years 8 months ago
Robust Mapping and Localization in Indoor Environments Using Sonar Data
In this paper we describe a new technique for the creation of featurebased stochastic maps using standard Polaroid sonar sensors. The fundamental contributions of our proposal are...
Juan D. Tardós, José Neira, Paul M. ...
SIBGRAPI
2006
IEEE
14 years 3 months ago
Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...
Carlos E. Thomaz, Nelson A. O. Aguiar, Sergio H. A...
CVPR
2005
IEEE
14 years 11 months ago
Online Detection and Classification of Moving Objects Using Progressively Improving Detectors
Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
Omar Javed, Saad Ali, Mubarak Shah
AIED
2005
Springer
14 years 2 months ago
Towards Data-Driven Design of a Peer Collaborative Agent
The research literature investigating the construction of tutorial dialogue and learning companion environments present parallel experiences in attempting to emulate what has been ...
Gahgene Gweon, Carolyn Penstein Rosé, Regan...
MCS
2002
Springer
13 years 8 months ago
Distributed Pasting of Small Votes
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowye...