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» Feature Subset Selection Using a Genetic Algorithm
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IJCAI
2007
15 years 4 months ago
Training Conditional Random Fields Using Virtual Evidence Boosting
While conditional random fields (CRFs) have been applied successfully in a variety of domains, their training remains a challenging task. In this paper, we introduce a novel trai...
Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry A. ...
ICIP
2010
IEEE
15 years 1 months ago
Fast object detection using boosted co-occurrence histograms of oriented gradients
Co-occurrence histograms of oriented gradients (CoHOG) are powerful descriptors in object detection. In this paper, we propose to utilize a very large pool of CoHOG features with ...
Haoyu Ren, Cher-Keng Heng, Wei Zheng, Luhong Liang...
DATE
2003
IEEE
87views Hardware» more  DATE 2003»
15 years 8 months ago
A First Step Towards Hw/Sw Partitioning of UML Specifications
This paper proposes a novel methodology tailored to design embedded systems, taking into account the emerging market needs, such as hw/sw partitioning, object-oriented specificati...
William Fornaciari, P. Micheli, Fabio Salice, L. Z...
IDA
2010
Springer
15 years 1 months ago
GA-stacking: Evolutionary stacked generalization
Stacking is a widely used technique for combining classifiers and improving prediction accuracy. Early research in Stacking showed that selecting the right classifiers, their par...
Agapito Ledezma, Ricardo Aler, Araceli Sanch&iacut...
114
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ICTAI
2007
IEEE
15 years 9 months ago
Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
George Tzanis, Ioannis P. Vlahavas