105 search results - page 13 / 21 » Sensing-aware classification with high-dimensional data |
BMCBI
2008
13 years 7 months ago
2008
Background: Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectro...
GRC
2008
IEEE
13 years 8 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
In this work we compare the use of a Particle Swarm Optimization (PSO) and a Genetic Algorithm (GA) (both augmented with Support Vector Machines SVM) for the classification of high...
EWCBR
2006
Springer
13 years 11 months ago
2006
Springer
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...