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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
EDBT
2006
ACM
191views Database» more  EDBT 2006»
16 years 6 months ago
Distributed Spatial Clustering in Sensor Networks
Abstract. Sensor networks monitor physical phenomena over large geographic regions. Scientists can gain valuable insight into these phenomena, if they understand the underlying dat...
Anand Meka, Ambuj K. Singh
AUSAI
2003
Springer
15 years 11 months ago
Choosing Learning Algorithms Using Sign Tests with High Replicability
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
Remco R. Bouckaert
BMCBI
2006
127views more  BMCBI 2006»
15 years 6 months ago
Using local gene expression similarities to discover regulatory binding site modules
Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...
Bartek Wilczynski, Torgeir R. Hvidsten, Andriy Kry...
IPPS
2003
IEEE
15 years 11 months ago
Approximate Search Engine Optimization for Directory Service
Today, in many practical E-Commerce systems, the real stored data usually are short strings, such as names, addresses, or other information. Searching data within these short stri...
Kai-Hsiang Yang, Chi-Chien Pan, Tzao-Lin Lee