72 search results - page 14 / 15 » Correlation Metric for Generalized Feature Extraction |
VLSISP
2011
13 years 17 days ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
BMCBI
2006
13 years 5 months ago
2006
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
IJCAI
2007
13 years 7 months ago
2007
Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most supervised methods consider the summarization task ...
BMCBI
2010
13 years 3 months ago
2010
Background: High complexity is considered a hallmark of living systems. Here we investigate the complexity of temporal gene expression patterns using the concept of Permutation En...
KDD
2012
ACM
11 years 8 months ago
2012
ACM
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...