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» Input Modeling Using Quantile Statistical Methods
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BMCBI
2004
128views more  BMCBI 2004»
15 years 2 months ago
Comparing transformation methods for DNA microarray data
Background: When DNA microarray data are used for gene clustering, genotype/phenotype correlation studies, or tissue classification the signal intensities are usually transformed ...
Helene H. Thygesen, Aeilko H. Zwinderman
AAAI
1992
15 years 4 months ago
Automated Model Selection Using Context-Dependent Behaviors
Effective problem-solving about complex engineered devices requires device models that are both adequate for the problem and computationally efficient . Producing such models requ...
P. Pandurang Nayak, Leo Joskowicz, Sanjaya Addanki
BMCBI
2006
102views more  BMCBI 2006»
15 years 2 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky
ISLPED
2004
ACM
124views Hardware» more  ISLPED 2004»
15 years 8 months ago
The design of a low power asynchronous multiplier
In this paper we investigate the statistics of multiplier operands and identify two characteristics of their distribution that have important consequences for the design of low po...
Yijun Liu, Stephen B. Furber
PAMI
2010
192views more  PAMI 2010»
15 years 1 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum