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» The Expression Problem Revisited
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ICANN
2009
Springer
15 years 1 months ago
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
André C. A. Nascimento, Ricardo Bastos Cava...
RECOMB
2001
Springer
16 years 3 months ago
Context-specific Bayesian clustering for gene expression data
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
Yoseph Barash, Nir Friedman
ECML
2005
Springer
15 years 9 months ago
A Model Based Method for Automatic Facial Expression Recognition
Automatic facial expression recognition is a research topic with interesting applications in the field of human-computer interaction, psychology and product marketing. The classi...
Hans van Kuilenburg, Marco Wiering, Marten den Uyl
130
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SARA
2005
Springer
15 years 9 months ago
Learning Regular Expressions from Noisy Sequences
Abstract. The presence of long gaps dramatically increases the difficulty of detecting and characterizing complex events hidden in long sequences. In order to cope with this proble...
Ugo Galassi, Attilio Giordana
DAC
2009
ACM
15 years 8 months ago
Xquasher: a tool for efficient computation of multiple linear expressions
— Digital signal processing applications often require the computation of linear systems. These computations can be considerably expensive and require optimizations for lower pow...
Arash Arfaee, Ali Irturk, Nikolay Laptev, Farzan F...