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    ICRA
    2006
    IEEE
    104views Robotics» more  ICRA 2006»
    Implicit Coordination in Robotic Teams using Learned Prediction Models
    15 years 6 months ago
    Implicit Coordination in Robotic Teams using Learned Prediction Models
    Download  ias.in.tum.de
    — Many application tasks require the cooperation of two or more robots. Humans are good at cooperation in shared workspaces, because they anticipate and adapt to the intentions a...
    Freek Stulp, Michael Isik, Michael Beetz
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    91
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    ISMB
    1998
    118views Computational Biology» more  ISMB 1998»
    Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model
    15 years 1 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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    PDPTA
    2008
    119views Distributed And Parallel Com...» more  PDPTA 2008»
    Predicting Web Cache Behavior using Stochastic State-Space Models
    15 years 2 months ago
    Predicting Web Cache Behavior using Stochastic State-Space Models
    Download  www.cse.psu.edu
    Web caches play an important role in improving the surfing experience of Web clients and reducing the network traffic seen by Web servers. Accurate analytical models of Web caches ...
    Amitayu Das, Ritendra Datta, Bhuvan Urgaonkar, Ana...
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    74
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    ICIP
    2004
    IEEE
    90views Image Processing» more  ICIP 2004»
    Palette reordering under an exponential power distribution model of prediction residuals
    16 years 2 months ago
    Palette reordering under an exponential power distribution model of prediction residuals
    Download  www.ieeta.pt
    Palette reordering is one of the most effective approaches for improving the compression of color-indexed images. Recently, a theoretically motivated modification of a reordering ...
    António J. R. Neves, Armando J. Pinho
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    83
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    ESANN
    2008
    127views Neural Networks» more  ESANN 2008»
    Using graph-theoretic measures to predict the performance of associative memory models
    15 years 2 months ago
    Using graph-theoretic measures to predict the performance of associative memory models
    Download  www.dice.ucl.ac.be
    We test a selection of associative memory models built with different connection strategies, exploring the relationship between the structural properties of each network and its pa...
    Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey
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