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» On the Complexity of Function Learning
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DAC
2008
ACM
16 years 6 months ago
Bi-decomposing large Boolean functions via interpolation and satisfiability solving
Boolean function bi-decomposition is a fundamental operation in logic synthesis. A function f(X) is bi-decomposable under a variable partition XA, XB, XC on X if it can be written...
Ruei-Rung Lee, Jie-Hong Roland Jiang, Wei-Lun Hung
BMCBI
2007
131views more  BMCBI 2007»
15 years 5 months ago
An improved method for identifying functionally linked proteins using phylogenetic profiles
Background: Phylogenetic profiles record the occurrence of homologs of genes across fully sequenced organisms. Proteins with similar profiles are typically components of protein c...
Shawn Cokus, Sayaka Mizutani, Matteo Pellegrini
BMCBI
2005
97views more  BMCBI 2005»
15 years 4 months ago
The yeast kinome displays scale free topology with functional hub clusters
Background: The availability of interaction databases provides an opportunity for researchers to utilize immense amounts of data exclusively in silico. Recently there has been an ...
Robin E. C. Lee, Lynn A. Megeney
TIT
2010
153views Education» more  TIT 2010»
14 years 11 months ago
On the information rates of the plenoptic function
The plenoptic function (Adelson and Bergen, 91) describes the visual information available to an observer at any point in space and time. Samples of the plenoptic function (POF) a...
Arthur L. da Cunha, Minh N. Do, Martin Vetterli
MICCAI
2009
Springer
16 years 5 months ago
A Riemannian Framework for Orientation Distribution Function Computing
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Functi...
Jian Cheng, Aurobrata Ghosh, Tianzi Jiang, Rachid ...