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CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
15 years 3 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
106
Voted
TSP
2008
179views more  TSP 2008»
14 years 11 months ago
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...
DATE
2009
IEEE
143views Hardware» more  DATE 2009»
15 years 6 months ago
Dimensioning heterogeneous MPSoCs via parallelism analysis
—In embedded computing we face a continuously growing algorithm complexity combined with a constantly rising number of applications running on a single system. Multi-core systems...
Bastian Ristau, Torsten Limberg, Oliver Arnold, Ge...
BMCBI
2006
94views more  BMCBI 2006»
14 years 11 months ago
Simulation of microarray data with realistic characteristics
Background: Microarray technologies have become common tools in biological research. As a result, a need for effective computational methods for data analysis has emerged. Numerou...
Matti Nykter, Tommi Aho, Miika Ahdesmäki, Pek...
SIP
2003
15 years 1 months ago
Robust Range Data Segmentation using Geometric Primitives for Robotic Applications
This paper presents a data-driven approach for segmenting range data to enable a humanoid robot to perform interactive domestic tasks. Range data is segmented into geometric primi...
Geoffrey Taylor, Lindsay Kleeman