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    AIPS
    1994
    103views Artificial Intelligence» more  AIPS 1994»
    Using AI Planning Techniques to Automatically Generate Image Processing Procedures
    13 years 12 months ago
    Using AI Planning Techniques to Automatically Generate Image Processing Procedures
    Download  www.aaai.org
    This paper describes work on the Multimission VICARPlanner (MVP) system to automatically construct executable imageprocessing procedures for custom image processing requests for t...
    Steve A. Chien
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    COLING
    1996
    160views Computational Linguistics» more  COLING 1996»
    The Automatic Extraction of Open Compounds from Text Corpora
    13 years 12 months ago
    The Automatic Extraction of Open Compounds from Text Corpora
    Download  acl.ldc.upenn.edu
    This paper describes a new method for extracting open compounds (uninterrupted sequences of words) from text corpora of languages, such as Thai, Japanese and Korea that exhibit un...
    Virach Sornlertlamvanich, Hozumi Tanaka
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    MVA
    1996
    177views Computer Vision» more  MVA 1996»
    An Adaptive Threshold Method for Gray Scale Character Images
    13 years 12 months ago
    An Adaptive Threshold Method for Gray Scale Character Images
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Gray-scale document images are binarized in order to perform optical character recognition (OCR). To perform this binarization, a variety of techniques have been proposed for perf...
    Ming Yu, Shinji Ozawa
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    SODA
    1993
    ACM
    119views Algorithms» more  SODA 1993»
    Iterated Nearest Neighbors and Finding Minimal Polytopes
    13 years 12 months ago
    Iterated Nearest Neighbors and Finding Minimal Polytopes
    Download  compgeom.cs.uiuc.edu
    We introduce a new method for nding several types of optimal k-point sets, minimizing perimeter, diameter, circumradius, and related measures, by testing sets of the O(k) nearest ...
    David Eppstein, Jeff Erickson
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    UAI
    1996
    168views Artificial Intelligence» more  UAI 1996»
    Bayesian Learning of Loglinear Models for Neural Connectivity
    13 years 12 months ago
    Bayesian Learning of Loglinear Models for Neural Connectivity
    Download  www.mpib-berlin.mpg.de
    This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
    Kathryn B. Laskey, Laura Martignon
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