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    ICASSP
    2009
    IEEE
    150views Signal Processing» more  ICASSP 2009»
    Combining VTS model compensation and support vector machines
    15 years 6 months ago
    Combining VTS model compensation and support vector machines
    Download  mi.eng.cam.ac.uk
    It is difficult to adapt discriminative classifiers, particularly kernel based ones such as support vector machines (SVMs), to handle mismatches between the training and test da...
    Mark J. F. Gales, Federico Flego
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    BMCBI
    2005
    107views more  BMCBI 2005»
    Protein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multip
    14 years 11 months ago
    Protein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multip
    Download  www.biomedcentral.com
    Background: Predicting the subcellular localization of proteins is important for determining the function of proteins. Previous works focused on predicting protein localization in...
    Jiren Wang, Wing-Kin Sung, Arun Krishnan, Kuo-Bin ...
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    ICCV
    2007
    IEEE
    203views Computer Vision» more  ICCV 2007»
    Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
    15 years 1 months ago
    Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
    Download  www.doc.ic.ac.uk
    The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
    Michel François Valstar, Maja Pantic
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    BMCBI
    2007
    139views more  BMCBI 2007»
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    14 years 11 months ago
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    Download  www.biomedcentral.com
    Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
    Andrew S. Peek
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    ICIP
    2000
    IEEE
    153views Image Processing» more  ICIP 2000»
    Gender Classification Using Support Vector Machines
    16 years 1 months ago
    Gender Classification Using Support Vector Machines
    Download  www.ece.umd.edu
    Ming-Hsuan Yang, Baback Moghaddam
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