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ENGL
2007
180views more  ENGL 2007»
15 years 6 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— 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...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
231
Voted
ISCA
2007
IEEE
217views Hardware» more  ISCA 2007»
15 years 6 months ago
Parallel Processing of High-Dimensional Remote Sensing Images Using Cluster Computer Architectures
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing of the Earth. The high spatial and spectral resolution of the images supplied ...
David Valencia, Antonio Plaza, Pablo Martín...
ICPR
2006
IEEE
16 years 7 months ago
Geodesic Curves for Analysis of Continuous Implicit Shapes
A method is proposed for performing shape analysis of m-surfaces, e.g. planar curves and surfaces, with a geometric interpretation. The analysis uses an implicit surface represent...
Jan Erik Solem
BPM
2009
Springer
195views Business» more  BPM 2009»
16 years 1 months ago
Process Mining: Fuzzy Clustering and Performance Visualization
The goal of performance analysis of business processes is to gain insights into operational processes, for the purpose of optimizing them. To intuitively show which parts of the pr...
Boudewijn F. van Dongen, A. Adriansyah
BMCBI
2008
93views more  BMCBI 2008»
15 years 6 months ago
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...
Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, You...