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    NIPS
    2008
    212views Information Technology» more  NIPS 2008»
    Multiscale Random Fields with Application to Contour Grouping
    13 years 11 months ago
    Multiscale Random Fields with Application to Contour Grouping
    Download  www.cis.temple.edu
    We introduce a new interpretation of multiscale random fields (MSRFs) that admits efficient optimization in the framework of regular (single level) random fields (RFs). It is base...
    Longin Jan Latecki, ChengEn Lu, Marc Sobel, Xiang ...
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    SDM
    2008
    SIAM
    197views Data Mining» more  SDM 2008»
    A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
    13 years 11 months ago
    A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
    Download  cui.unige.ch
    Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measure...
    Irene Ntoutsi, Alexandros Kalousis, Yannis Theodor...
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    MVA
    2007
    210views Computer Vision» more  MVA 2007»
    Represent Image Contents Using Curves and Chain Code
    13 years 11 months ago
    Represent Image Contents Using Curves and Chain Code
    Download  b2.cvl.iis.u-tokyo.ac.jp
    This paper presents a new approach to extracting and representing structural features of images. The approach is based on both a region-based analysis and a contour-based analysis...
    Pornchai Mongkolnam, Chakarida Nukoolkit, Thanee D...
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    FLAIRS
    2006
    182views Artificial Intelligence» more  FLAIRS 2006»
    Inexact Graph Matching: A Case of Study
    13 years 11 months ago
    Inexact Graph Matching: A Case of Study
    Download  www.aaai.org
    Inexact graph matching has become an important research area because it is used to find similarities among objects in several real domains such as chemical and biological compound...
    Ivan Olmos, Jesus A. Gonzalez, Mauricio Osorio
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    UAI
    2003
    278views Artificial Intelligence» more  UAI 2003»
    Bayesian Hierarchical Mixtures of Experts
    13 years 11 months ago
    Bayesian Hierarchical Mixtures of Experts
    Download  research.microsoft.com
    The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
    Christopher M. Bishop, Markus Svensén
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