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    CVPR
    2010
    IEEE
    316views Computer Vision» more  CVPR 2010»
    Adaptive pose priors for pictorial structures
    13 years 5 months ago
    Adaptive pose priors for pictorial structures
    Download  www.seas.upenn.edu
    Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
    Benjamin Sapp, Chris Jordan, Ben Taskar
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    ENTCS
    2008
    120views more  ENTCS 2008»
    Reasoning about B+ Trees with Operational Semantics and Separation Logic
    13 years 7 months ago
    Reasoning about B+ Trees with Operational Semantics and Separation Logic
    Download  www.cs.bham.ac.uk
    The B+ tree is an ordered tree structure with a fringe list. It is the most widely used data structure for data organisation and searching in database systems specifically, and, p...
    Alan P. Sexton, Hayo Thielecke
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    ISMB
    1994
    138views Computational Biology» more  ISMB 1994»
    Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars
    13 years 8 months ago
    Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars
    Download  www.bic.kyoto-u.ac.jp
    We describe and demonstrate the effectiveness of a method of predicting protein secondary structures, sheet regions in particular, using a class of stochastic tree grammars as rep...
    Hiroshi Mamitsuka, Naoki Abe
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    ITA
    2007
    153views Communications» more  ITA 2007»
    Deciding inclusion of set constants over infinite non-strict data structures
    13 years 7 months ago
    Deciding inclusion of set constants over infinite non-strict data structures
    Download  www.ki.informatik.uni-frankfurt.de
    Abstract. Various static analyses of functional programming languages that permit infinite data structures make use of set constants like Top, Inf, and Bot, denoting all terms, al...
    Manfred Schmidt-Schauß, David Sabel, Marko S...
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    ESANN
    2007
    130views Neural Networks» more  ESANN 2007»
    "Kernelized" Self-Organizing Maps for Structured Data
    13 years 9 months ago
    "Kernelized" Self-Organizing Maps for Structured Data
    Download  www.math.unipd.it
    The suitability of the well known kernels for trees, and the lesser known SelfOrganizing Map for Structures for categorization tasks on structured data is investigated in this pap...
    Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
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