86 search results - page 6 / 18 » Clustering and Feature Selection using Sparse Principal Comp... |
BMCBI
2005
13 years 7 months ago
2005
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
This paper presents a novel approach for the visualization and clustering of crowd video contents by using multilinear principal component analysis (MPCA). In contrast to feature-...
ISBI
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is repla...
IPM
2006
13 years 7 months ago
2006
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
ENGL
2007
13 years 7 months ago
2007
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...