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BMCBI
2004
208views more  BMCBI 2004»
15 years 6 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
BMCBI
2010
109views more  BMCBI 2010»
15 years 6 months ago
Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan...
CVPR
2011
IEEE
15 years 3 months ago
Saliency Estimation Using a Non-Parametric Low-Level Vision Model
Many successful models for predicting attention in a scene involve three main steps: convolution with a set of filters, a center-surround mechanism and spatial pooling to constru...
Naila Murray, Maria Vanrell, Xavier Otazu, C. Alej...
TOG
2012
301views Communications» more  TOG 2012»
13 years 9 months ago
An analytic model for full spectral sky-dome radiance
We present a physically-based analytical model of the daytime sky. Based on the results of a first-principles brute force simulation of radiative transfer in the atmosphere, we u...
Lukas Hosek, Alexander Wilkie
ITCC
2005
IEEE
16 years 4 days ago
On the Masking Countermeasure and Higher-Order Power Analysis Attacks
Abstract— Masking is a general method used to thwart Differential Power Analysis, in which all the intermediate data inside an implementation are XORed with random Boolean values...
François-Xavier Standaert, Eric Peeters, Je...