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» Pattern Recognition Using Functions of Multiple Instances
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156
Voted
TMI
2010
182views more  TMI 2010»
15 years 29 days ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
100
Voted
MCS
2007
Springer
15 years 2 months ago
Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets
Abstract. Ensembles are often capable of greater predictive performance than any of their individual classifiers. Despite the need for classifiers to make different kinds of err...
Nitesh V. Chawla, Jared Sylvester
95
Voted
AAAI
1994
15 years 3 months ago
An Approach to Multiply Segmented Constraint Satisfaction Problems
This paper describes an extension to the constraint satisfaction problem (CSP) approach called MUSE CSP (Multiply SEgmented Constraint Satisfaction Problem). This extension is esp...
Randall A. Helzerman, Mary P. Harper
144
Voted
IBPRIA
2005
Springer
15 years 8 months ago
Robust Person-Independent Visual Sign Language Recognition
Sign language recognition constitutes a challenging field of research in computer vision. Common problems like overlap, ambiguities, and minimal pairs occur frequently and require...
Jörg Zieren, Karl-Friedrich Kraiss
133
Voted
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
16 years 3 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider