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ICML
2010
IEEE
15 years 4 months ago
Causal filter selection in microarray data
The importance of bringing causality into play when designing feature selection methods is more and more acknowledged in the machine learning community. This paper proposes a filt...
Gianluca Bontempi, Patrick Emmanuel Meyer
ICPR
2002
IEEE
16 years 4 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
MVA
2007
133views Computer Vision» more  MVA 2007»
15 years 4 months ago
Selection of Object Recognition Methods According to the Task and Object Category
Service robots need object recognition strategy that can work on various objects in complex backgrounds. Since no single method can work in every situation, we need to combine sev...
Al Mansur, Yoshinori Kuno
SEMWEB
2010
Springer
15 years 27 days ago
Using Reformulation Trees to Optimize Queries over Distributed Heterogeneous Sources
Abstract. In order to effectively and quickly answer queries in environments with distributed RDF/OWL, we present a query optimization algorithm to identify the potentially relevan...
Yingjie Li, Jeff Heflin
ICPR
2008
IEEE
15 years 9 months ago
Adaptive asymmetrical SVM and genetic algorithms based iris recognition
We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
Kaushik Roy 0002, Prabir Bhattacharya