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  1. CBIR

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  2. Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval, Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network,CONTENT BASED IMAGE RETRIEVAL,Relevance Feedback,A survey of browsing models for content based
  3. 所属分类:File Formats

    • 发布日期:2017-05-13
    • 文件大小:3.3mb
    • 提供者:sunda
  1. FULLTEXT01

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  2. CBIR-Two novel contributions to Content Based Image Retrieval are presented and discussed. The fi rst is a search engine for font recognition. The intended usage is the search in very large font databases. The input to the search engine is a
  3. 所属分类:File Formats

    • 发布日期:2017-11-22
    • 文件大小:2.26mb
    • 提供者:Chandana
  1. Content-based-Image-Retrieval

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  2. Two novel contributions to Content Based Image Retrieval are presented and discussed. The fi rst is a search engine for font recognition. The intended usage is the search in very large font databases. The input to the search engine is an i
  3. 所属分类:File Formats

    • 发布日期:2017-11-02
    • 文件大小:445.44kb
    • 提供者:Chandana
  1. SURVEY-ON-CONTENT-BASED-MEDICAL-IMAGE-RETRIEVAL-S

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  2. survey on content based medical image retrieval system it contains pre processing feature extraction and selection methods
  3. 所属分类:File Formats

    • 发布日期:2017-03-23
    • 文件大小:55.01kb
    • 提供者:sharmi
  1. 3Semantic-content-analysis-and-annotation-of

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  2. the demand for automatically recognizing and retrieving medical image for screening,reference and management is growing faster than ever.In this paper present an intelligent content based image retrieval system called I-Browsewhich integrate both ico
  3. 所属分类:File Formats

    • 发布日期:2017-05-02
    • 文件大小:730.17kb
    • 提供者:jincy
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