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CVPR
2005
IEEE
16 years 7 months ago
Feature Kernel Functions: Improving SVMs Using High-Level Knowledge
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
Qiang Sun, Gerald DeJong
179
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ECML
2003
Springer
15 years 10 months ago
Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
Walter Daelemans, Véronique Hoste, Fien De ...
CGF
2010
155views more  CGF 2010»
15 years 5 months ago
Feature based terrain generation using diffusion equation
This paper presents a diffusion method for generating terrains from a set of parameterized curves that characterize the landform features such as ridge lines, riverbeds or cliffs....
Houssam Hnaidi, Eric Guérin, Samir Akkouche...
ICIP
2009
IEEE
16 years 6 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
15 years 11 months ago
Choosing SNPs Using Feature Selection
A major challenge for genomewide disease association studies is the high cost of genotyping large number of single nucleotide polymorphisms (SNP). The correlations between SNPs, h...
Tu Minh Phuong, Zhen Lin, Russ B. Altman