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    INFOCOM
    2005
    IEEE
    164views Communications» more  INFOCOM 2005»
    Time and energy complexity of distributed computation in wireless sensor networks
    14 years 3 months ago
    Time and energy complexity of distributed computation in wireless sensor networks
    Download  ece.iisc.ernet.in
    — We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing...
    Nilesh Khude, Anurag Kumar, Aditya Karnik
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    TMC
    2008
    127views more  TMC 2008»
    Time and Energy Complexity of Distributed Computation of a Class of Functions in Wireless Sensor Networks
    13 years 9 months ago
    Time and Energy Complexity of Distributed Computation of a Class of Functions in Wireless Sensor Networks
    Download  ece.iisc.ernet.in
    We consider a scenario in which a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing a...
    Nilesh Khude, Anurag Kumar, Aditya Karnik
    claim paper
    Read More »
    ECCV
    2008
    Springer
    263views Computer Vision» more  ECCV 2008»
    Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
    14 years 11 months ago
    Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
    Download  www.cis.upenn.edu
    Abstract. We introduce a shape detection framework called Contour Context Selection for detecting objects in cluttered images using only one exemplar. Shape based detection is inva...
    Qihui Zhu, Liming Wang, Yang Wu, Jianbo Shi
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    COMPGEOM
    2005
    ACM
    128views Discrete Geometry» more  COMPGEOM 2005»
    On the exact computation of the topology of real algebraic curves
    13 years 11 months ago
    On the exact computation of the topology of real algebraic curves
    Download  www.mpi-inf.mpg.de
    We consider the problem of computing a representation of the plane graph induced by one (or more) algebraic curves in the real plane. We make no assumptions about the curves, in p...
    Raimund Seidel, Nicola Wolpert
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    JMLR
    2008
    168views more  JMLR 2008»
    Max-margin Classification of Data with Absent Features
    13 years 9 months ago
    Max-margin Classification of Data with Absent Features
    Download  ai.stanford.edu
    We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
    Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
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