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    ICRA
    2010
    IEEE
    178views Robotics» more  ICRA 2010»
    Biomimetic optic flow sensing applied to a lunar landing scenario
    13 years 5 months ago
    Biomimetic optic flow sensing applied to a lunar landing scenario
    Download  www.esa.int
    Autonomous landing on unknown extraterrestrial bodies requires fast, noise-resistant motion processing to elicit appropriate steering commands. Flying insects excellently master vi...
    Florent Valette, Franck Ruffier, Stéphane V...
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    JMLR
    2011
    157views more  JMLR 2011»
    Variable Sparsity Kernel Learning
    13 years 2 months ago
    Variable Sparsity Kernel Learning
    Download  jmlr.csail.mit.edu
    This paper1 presents novel algorithms and applications for a particular class of mixed-norm regularization based Multiple Kernel Learning (MKL) formulations. The formulations assu...
    Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattac...
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    SIAMIS
    2011
    193views Software Engineering» more  SIAMIS 2011»
    NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
    13 years 2 months ago
    NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
    Download  www-stat.stanford.edu
    Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
    Stephen Becker, Jérôme Bobin, Emmanue...
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    TON
    2010
    167views more  TON 2010»
    A Machine Learning Approach to TCP Throughput Prediction
    13 years 2 months ago
    A Machine Learning Approach to TCP Throughput Prediction
    Download  pages.cs.wisc.edu
    TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
    Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
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    TSP
    2010
    156views Artificial Intelligence» more  TSP 2010»
    Compressed sensing performance bounds under Poisson noise
    13 years 2 months ago
    Compressed sensing performance bounds under Poisson noise
    Download  people.ee.duke.edu
    Abstract--This paper describes performance bounds for compressed sensing (CS) where the underlying sparse or compressible (sparsely approximable) signal is a vector of nonnegative ...
    Maxim Raginsky, Rebecca Willett, Zachary T. Harman...
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