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» Fusion of multiple classifiers
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NIPS
2001
13 years 10 months ago
Intransitive Likelihood-Ratio Classifiers
In this work, we introduce an information-theoreticbased correction term to the likelihood ratio classification method for multiple classes. Under certain conditions, the term is ...
Jeff Bilmes, Gang Ji, Marina Meila
PR
2010
144views more  PR 2010»
13 years 7 months ago
Classifying transformation-variant attributed point patterns
This paper presents a classification approach, where a sample is represented by a set of feature vectors called an attributed point pattern. Some attributes of a point are transf...
K. E. Dungan, L. C. Potter
ICASSP
2011
IEEE
13 years 16 days ago
Geometric programming for aggregation of binary classifiers
Multiclass classification problems are often decomposed into multiple binary problems that are solved by individual binary classifiers whose results are integrated into a final...
Sunho Park, Seungjin Choi
AAAI
2006
13 years 10 months ago
Classification Spanning Private Databases
In this paper, we study the classification problem involving information spanning multiple private databases. The privacy challenges lie in the facts that data cannot be collected...
Ke Wang, Yabo Xu, Rong She, Philip S. Yu
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 2 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...