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PAMI
2006
114views more  PAMI 2006»
15 years 2 months ago
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
Maya R. Gupta, Robert M. Gray, Richard A. Olshen
CORR
2008
Springer
83views Education» more  CORR 2008»
15 years 2 months ago
Modeling of a piezoelectric micro-scanner
Micro-scanners have been widely used in many optical applications. The micro-scanner presented in this paper uses multimorph-type bending actuators to tilt a square plate mirror. ...
A. Chaehoi, M. Begbie, D. Cornez, K. Kirk
VLSI
2012
Springer
13 years 10 months ago
A Signature-Based Power Model for MPSoC on FPGA
e technique is based on abstract execution profiles, called event signatures, and it operates at a higher level of abstraction than, for example, commonly used instruction-set sim...
Roberta Piscitelli, Andy D. Pimentel
BMCBI
2011
14 years 6 months ago
A fast and accurate method to detect allelic genomic imbalances underlying mosaic rearrangements using SNP array data
Background: Mosaicism for copy number and copy neutral chromosomal rearrangements has been recently identified as a relatively common source of genetic variation in the normal pop...
Juan R. González, Benjamin Rodriguez-Santia...
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BMCBI
2008
95views more  BMCBI 2008»
15 years 2 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri