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» Input Modeling Using Quantile Statistical Methods
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CVPR
2010
IEEE
15 years 10 months ago
Spike Train Driven Dynamical Models for Human Actions
We investigate dynamical models of human motion that can support both synthesis and analysis tasks. Unlike coarser discriminative models that work well when action classes are ...
Michalis Raptis, Kamil Wnuk , Stefano Soatto
JIB
2006
220views more  JIB 2006»
15 years 2 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
BMCBI
2007
157views more  BMCBI 2007»
15 years 2 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
PATMOS
2004
Springer
15 years 7 months ago
Signal Sampling Based Transition Modeling for Digital Gates Characterization
Current characterization methods introduce an important error in the measurement process. In this paper, we present a novel method to drive the timing characterization of logic gat...
Alejandro Millán, Jorge Juan-Chico, Manuel ...
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BMCBI
2010
150views more  BMCBI 2010»
15 years 1 months ago
DeltaProt: a software toolbox for comparative genomics
Background: Statistical bioinformatics is the study of biological data sets obtained by new micro-technologies by means of proper statistical methods. For a better understanding o...
Steinar Thorvaldsen, Tor Flå, Nils Willassen