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    » Comparison of Different Methods for Next Location Prediction
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    ISMAR
    2006
    IEEE
    145views Augmented Reality» more  ISMAR 2006»
    Predicting and estimating the accuracy of n-occular optical tracking systems
    14 years 2 months ago
    Predicting and estimating the accuracy of n-occular optical tracking systems
    Download  ar.in.tum.de
    Marker-based optical tracking systems are widely used in augmented reality, medical navigation and industrial applications. We propose a model for the prediction of the target reg...
    Martin Bauer, Michael Schlegel, Daniel Pustka, Nas...
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    PERCOM
    2006
    ACM
    198views Computer Networks» more  PERCOM 2006»
    Context-Aware Resource Management in Multi-Inhabitant Smart Homes: A Nash H-Learning based Approach
    14 years 8 months ago
    Context-Aware Resource Management in Multi-Inhabitant Smart Homes: A Nash H-Learning based Approach
    Download  www.percom.org
    A smart home aims at building intelligence automation with a goal to provide its inhabitants with maximum possible comfort, minimize the resource consumption and thus overall cost...
    Nirmalya Roy, Abhishek Roy, Sajal K. Das
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    BMCBI
    2005
    120views more  BMCBI 2005»
    pSLIP: SVM based protein subcellular localization prediction using multiple physicochemical properties
    13 years 8 months ago
    pSLIP: SVM based protein subcellular localization prediction using multiple physicochemical properties
    Download  www.biomedcentral.com
    Background: Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of pre...
    Deepak Sarda, Gek Huey Chua, Kuo-Bin Li, Arun Kris...
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    ISMB
    1998
    118views Computational Biology» more  ISMB 1998»
    Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model
    13 years 10 months ago
    Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model
    Download  www.cbs.dtu.dk
    A hidden Markov model of signal peptides has been developed. It contains submodels for the N-terminal part, the hydrophobic region, and the region around the cleavage site. For kn...
    Henrik Nielsen, Anders Krogh
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    BMCBI
    2010
    150views more  BMCBI 2010»
    AMS 3.0: prediction of post-translational modifications
    13 years 9 months ago
    AMS 3.0: prediction of post-translational modifications
    Download  www.biomedcentral.com
    Background: We present here the recent update of AMS algorithm for identification of post-translational modification (PTM) sites in proteins based only on sequence information, us...
    Subhadip Basu, Dariusz Plewczynski
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