1051 search results - page 109 / 211 » An algorithm for the principal component analysis of large d... |
ISCAS
2003
IEEE
14 years 1 months ago
2003
IEEE
We propose an algorithm based on singular value decomposition (SVD) to reduce the number of process variation variables. With few process variation variables, fault simulation and...
BMCBI
2010
13 years 8 months ago
2010
Background: Several tools have been developed to explore and search Gene Ontology (GO) databases allowing efficient GO enrichment analysis and GO tree visualization. Nevertheless,...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
ESANN
2006
13 years 9 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
VLDB
2007
ACM
14 years 8 months ago
2007
ACM
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...