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    » Image classification using the web graph
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    ICIAP
    2009
    ACM
    186views Image Processing» more  ICIAP 2009»
    Tree Covering within a Graph Kernel Framework for Shape Classification
    13 years 7 months ago
    Tree Covering within a Graph Kernel Framework for Shape Classification
    Download  www.greyc.ensicaen.fr
    Abstract. Shape classification using graphs and skeletons usually involves edition processes in order to reduce the influence of structural noise. However, edition distances can no...
    François-Xavier Dupé, Luc Brun
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    WWW
    2006
    ACM
    120views Internet Technology» more  WWW 2006»
    Web ontology segmentation: analysis, classification and use
    14 years 10 months ago
    Web ontology segmentation: analysis, classification and use
    Download  www.co-ode.org
    Ontologies are at the heart of the semantic web. They define the concepts and relationships that make global interoperability possible. However, as these ontologies grow in size t...
    Julian Seidenberg, Alan L. Rector
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    ICASSP
    2009
    IEEE
    134views Signal Processing» more  ICASSP 2009»
    High-level feature extraction using SVM with walk-based graph kernel
    14 years 1 months ago
    High-level feature extraction using SVM with walk-based graph kernel
    Download  cbio.ensmp.fr
    We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
    Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh...
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    WWW
    2008
    ACM
    132views Internet Technology» more  WWW 2008»
    Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering
    14 years 10 months ago
    Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering
    Download  www2008.org
    With the explosive growth of Web and the recent development in digital media technology, the number of images on the Web has grown tremendously. Consequently, Web image clustering...
    Manjeet Rege, Ming Dong, Jing Hua
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    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    13 years 7 months ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
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