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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2006
132views more  BMCBI 2006»
15 years 3 months ago
Comprehensive quality control utilizing the prehybridization third-dye image leads to accurate gene expression measurements by c
Background: Gene expression profiling using microarrays has become an important genetic tool. Spotted arrays prepared in academic labs have the advantage of low cost and high desi...
Xujing Wang, Shuang Jia, Lisa Meyer, Bixia Xiang, ...
CCGRID
2006
IEEE
15 years 6 months ago
DIMVisual: Data Integration Model for Visualization of Parallel Programs Behavior
Abstract-- The development of high performance parallel applications for clusters is considered a complex task. This can happen because the influence of the execution environment a...
Lucas Mello Schnorr, Philippe Olivier Alexandre Na...
119
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IPM
2006
151views more  IPM 2006»
15 years 3 months ago
Document clustering using nonnegative matrix factorization
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...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
124
Voted
CVIU
2004
132views more  CVIU 2004»
15 years 2 months ago
Layered representations for learning and inferring office activity from multiple sensory channels
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
Nuria Oliver, Ashutosh Garg, Eric Horvitz
ICDCS
2006
IEEE
15 years 9 months ago
Distributed Computing for Efficient Hyperspectral Imaging Using Fully Heterogeneous Networks of Workstations
Hyperspectral imaging is a new technique which has become increasingly important in many remote sensing applications, including automatic target recognition for military and defen...
Antonio Plaza, Javier Plaza, David Valencia