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    LREC
    2010
    180views Education» more  LREC 2010»
    Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy
    13 years 11 months ago
    Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy
    Download  nlp.stanford.edu
    We investigate a number of approaches to generating Stanford Dependencies, a widely used semantically-oriented dependency representation. We examine algorithms specifically design...
    Daniel Cer, Marie-Catherine de Marneffe, Daniel Ju...
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    GRAPHICSINTERFACE
    2008
    80views Computer Graphics» more  GRAPHICSINTERFACE 2008»
    Quality scalability of soft shadow mapping
    13 years 11 months ago
    Quality scalability of soft shadow mapping
    Download  www.mpi-inf.mpg.de
    Recently, several soft shadow mapping algorithms have been introduced which extract micro-occluders from a shadow map and backproject them on the light source to approximately det...
    Michael Schwarz, Marc Stamminger
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    IJCAI
    2007
    227views Artificial Intelligence» more  IJCAI 2007»
    Web Page Clustering Using Heuristic Search in the Web Graph
    13 years 11 months ago
    Web Page Clustering Using Heuristic Search in the Web Graph
    Download  www.cs.umass.edu
    Effective representation of Web search results remains an open problem in the Information Retrieval community. For ambiguous queries, a traditional approach is to organize search ...
    Ron Bekkerman, Shlomo Zilberstein, James Allan
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    NIPS
    2007
    202views Information Technology» more  NIPS 2007»
    A New View of Automatic Relevance Determination
    13 years 11 months ago
    A New View of Automatic Relevance Determination
    Download  books.nips.cc
    Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
    David P. Wipf, Srikantan S. Nagarajan
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    RSS
    2007
    136views Robotics» more  RSS 2007»
    The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
    13 years 11 months ago
    The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
    Download  www.ieor.berkeley.edu
    — We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
    Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
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