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» Large-Scale Data Analysis Using Heuristic Methods
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178
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BMCBI
2004
208views more  BMCBI 2004»
15 years 6 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
246
Voted
DAC
2009
ACM
16 years 7 months ago
Spectral techniques for high-resolution thermal characterization with limited sensor data
Elevated chip temperatures are true limiters to the scalability of computing systems. Excessive runtime thermal variations compromise the performance and reliability of integrated...
Ryan Cochran, Sherief Reda
BMCBI
2002
147views more  BMCBI 2002»
15 years 6 months ago
Expression profiling of human renal carcinomas with functional taxonomic analysis
Background: Molecular characterization has contributed to the understanding of the inception, progression, treatment and prognosis of cancer. Nucleic acid array-based technologies...
Michael A. Gieseg, Theresa Cody, Michael Z. Man, S...
MLDM
2005
Springer
16 years 6 days ago
Clustering Large Dynamic Datasets Using Exemplar Points
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
William Sia, Mihai M. Lazarescu
DL
1999
Springer
129views Digital Library» more  DL 1999»
15 years 11 months ago
Web Analysis Visualization Spreadsheet
In this paper, we present methods of information visualization that applies to the discovery of patterns in World-Wide Web sites. We hope to use techniques of information visualiz...
Ed Huai-hsin Chi