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  1. ART-Model

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  2. 介绍了自适应共振理论ART模型的工作原理和算法流程。-introduced ART Adaptive Resonance Theory model of principle, and the algorithm.
  3. 所属分类:行业发展研究

    • 发布日期:2008-10-13
    • 文件大小:43.22kb
    • 提供者:周汝胜
  1. DE-the-State-of-the-Art

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  2. 总体描述了差分演化算法目前的最新进展及其最新的应用-A general descr iption of the differential evolution algorithm and present the latest progress of the latest applications
  3. 所属分类:Development Research

    • 发布日期:2017-05-13
    • 文件大小:2.97mb
    • 提供者:Wang
  1. Hyperspectral-Image-Classification-Through-Bilaye

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  2. Hyperspectral image classification with limited number of labeled pixels is a challenging task. In this paper, we propose a bilayer graph-based learning framework to address this problem. For graph-based classification, how to establish the n
  3. 所属分类:Development Research

    • 发布日期:2017-05-13
    • 文件大小:2.72mb
    • 提供者:bala
  1. ART-fast-algorithm-

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  2. 本文详细讲述了快速实现art的方法,对初学者很有帮助-ART fast algorithm of image reconstruction
  3. 所属分类:Development Research

    • 发布日期:2017-04-29
    • 文件大小:131.74kb
    • 提供者:陈默
  1. A-line-detection-algorithm-based-on-direction-fil

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  2. In this paper, a line detection algorithm, which is based on direction filter and regional growth, is proposed for line detection problem in a specific angle. The algorithm is better than the state-of-the-art algorithm in the detection of the spe
  3. 所属分类:Development Research

    • 发布日期:2017-05-04
    • 文件大小:314.26kb
    • 提供者:Lamine
  1. A-Local-Approach-for-Fast-Line-Detection

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  2. In this paper, a line detection algorithm, which is based on direction filter and regional growth, is proposed for line detection problem in a specific angle. Our algorithm is better than the state-of-the-art algorithm in the detection of the spe
  3. 所属分类:Development Research

    • 发布日期:2017-05-04
    • 文件大小:166.01kb
    • 提供者:Lamine
  1. LSD-A-Fast-Line-Segment-Detector

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  2. We propose a linear-time line segment detector that gives accurate results, a controlled number of false detections, and requires no parameter tuning. This algorithm is tested and compared to state-of-the-art algorithms on a wide set of natural ima
  3. 所属分类:Development Research

    • 发布日期:2017-05-11
    • 文件大小:2.07mb
    • 提供者:SALEH
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