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» Learning from Highly Structured Data by Decomposition
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IJCNN
2007
IEEE
15 years 4 months ago
Two-stage Multi-class AdaBoost for Facial Expression Recognition
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin Kin...
83
Voted
ML
2006
ACM
14 years 10 months ago
Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik
CIKM
2009
Springer
15 years 2 months ago
Density-based clustering using graphics processors
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Christian Böhm, Robert Noll, Claudia Plant, B...
IDA
2011
Springer
14 years 5 months ago
Ubiquitous Knowledge Discovery
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
João Gama, Michael May
INEX
2009
Springer
15 years 2 months ago
Overview of the INEX 2009 Interactive Track
In the paper we present the organization of the INEX 2009 interactive track. For the 2009 experiments the iTrack has gathered data on user search behavior in a collection consistin...
Nils Pharo, Ragnar Nordlie, Norbert Fuhr, Thomas B...