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    » The Characterization of Data-Accumulating Algorithms
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    PC
    1998
    153views Management» more  PC 1998»
    Compilation Techniques for Out-of-Core Parallel Computations
    14 years 9 months ago
    Compilation Techniques for Out-of-Core Parallel Computations
    Download  cucis.ece.northwestern.edu
    The difficulty of handling out-of-core data limits the performance of supercomputers as well as the potential of the parallel machines. Since writing an efficient out-of-core ve...
    Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
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    TIT
    2002
    129views more  TIT 2002»
    Arbitrary source models and Bayesian codebooks in rate-distortion theory
    14 years 9 months ago
    Arbitrary source models and Bayesian codebooks in rate-distortion theory
    Download  www.dam.brown.edu
    -- We characterize the best achievable performance of lossy compression algorithms operating on arbitrary random sources, and with respect to general distortion measures. Direct an...
    Ioannis Kontoyiannis, Junshan Zhang
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    103
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    PVLDB
    2008
    121views more  PVLDB 2008»
    Type inference and type checking for queries on execution traces
    14 years 9 months ago
    Type inference and type checking for queries on execution traces
    Download  www.cs.tau.ac.il
    This paper studies, for the first time, the management of type information for an important class of semi-structured data: nested DAGs (Directed Acyclic Graphs) that describe exec...
    Daniel Deutch, Tova Milo
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    RAS
    2008
    139views more  RAS 2008»
    Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
    14 years 9 months ago
    Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
    Download  www2.ing.puc.cl
    In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
    Pablo Espinace, Daniel Langdon, Alvaro Soto
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    135
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    CVPR
    2009
    IEEE
    636views Computer Vision» more  CVPR 2009»
    D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
    16 years 4 months ago
    D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
    Download  vims.cis.udel.edu
    Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
    Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
    posted by gowri
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