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Description: 主题: 遗传编程源程序.rar
内容概要: 遗传编程源程序.rar，使用VisualC++编写的遗传算法源代码，各位可在紫基础上进行自己的研究工作，如图像处理，数据挖掘、图像隐秘分析等，绝对让您满意
-theme : genetic programming source. Rar outline : genetic programming source. Rar, prepared using Visual C genetic algorithm source code, you can be on the basis of the Purple conduct their own research work, such as image processing, data mining, hidden image analysis, let your absolute satisfaction
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Size: 48595 |
Author: 宁宇 |
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Description: 小叶波算法，用有数据压缩在数据挖掘和图像的压缩中有很好的应用，-small Ye Bo algorithm, data compression is used in data-mining and image compression is a very good application,
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Size: 117612 |
Author: mou |
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Description: 两个som聚类算法，可以用于图象处理，数据挖掘，运行感觉不错，推荐！值得收藏！-two som clustering algorithm can be used in image processing, data mining, running good feeling recommended! Worth collecting!
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Size: 653312 |
Author: 刘鹏 |
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Description: This handbook presents a thorough overview in 45 chapters from more than 100 renowned experts in the field. It provides the tools to help overcome the problems of video storage, cataloging, and retrieval, by exploring content standardization and other content classification and analysis methods. The challenge of these complex problems make this book a must-have for video database practitioners in the fields of image and video processing, computer vision, multimedia systems, data mining, and many other diverse disciplines. Topics include video segmentation and summarization, archiving and retrieval, and modeling and representation.-This handbook presents a thorough overvie w in 45 chapters from more than 100 renowned expe rts in the field. It provides the tools to help ov ercome the problems of video storage. cataloging, and retrieval. by exploring content standardization and othe r content classification and analysis methods . The challenge of these complex problems make t his book a must-have for video database practit ioners in the fields of image and video processi Vi, computer vision, multimedia systems, data mining. and many other diverse disciplines. Topics inc lude video segmentation and summarization. archiving and retrieval. and modeling and representation.
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Size: 35815424 |
Author: li ming |
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Description: 用于高维数据的检索或最临近索搜索
高维数据处理一直是计算机数据挖掘, 图像检索方向的难点, 该算法是一种近似最临近方法, 效率提高比较多的-For high-dimensional data retrieval or the cable near the search deal with high dimensional data has always been a computer data mining, image retrieval difficult direction, the algorithm is a method similar to the most close to, improve the efficiency of a relatively large number of
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Size: 587776 |
Author: 武而用 |
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Description: 聚类分析是数据挖掘的重要概念,它广泛应用于模式识别!图像处理!数据分析和市场研究等领域,但在评
价中的应用研究却很少,针对这些问题,把聚类分析技术的基本概念和方法运用于评价,并通过实例阐述其在评价
中应用的重要性。-Cluster analysis is an important concept of data mining, it is widely used in pattern recognition! Image processing! Data analysis and market research in such areas, but in the evaluation of applied research is rarely, in view of these problems, the cluster analysis technique concepts and methods used in evaluation, and through examples of its application in the evaluation of the importance of.
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Size: 71680 |
Author: 孙建青 |
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Description: 将Weka数据挖掘工具所产生的K-MEANS和DBSCAN结果转化成MATLAB可输出三维图像的格式-Weka data mining tools will be generated by K-MEANS and DBSCAN results can be exported into MATLAB three-dimensional image format
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Size: 1006592 |
Author: 王坤 |
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Description: 数据挖掘的经典书籍。非常适合各种图像处理、识别等教材用。Data Mining。-Data Mining the classic books. Very suitable for a variety of image processing, identification and other materials used. Data Mining.
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Size: 176128 |
Author: xjy |
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Description: 用于DSP中的图像采集.是基于DSP与SAA7111A的连接,定义一个按钮,按一下采一副图像-For DSP in the image acquisition. SAA7111A is based on the DSP and the connectivity, the definition of a button, click an image mining
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Size: 9216 |
Author: 张五一 |
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Description: 数字图像处理领域中的一些应用实例，以理论和实践相结合的方式，系统地介绍了如何使用C#进行数字图像处理。
全书共11章，分别讲述了图像的点运算、几何运算、数学形态学图像处理方法、频率变换、图像平滑与去噪、边缘检测、图像分割、图像压缩编码和彩色图像处理等相关技术。-Digital image processing in the field of some application examples to the theory and practice, a combination of systematically describes how to use C# for digital image processing. The book has 11 chapters, respectively, the point about the image computing, geometric computing, mathematical morphology image processing method, frequency conversion, image smoothing and denoising, edge detection, image segmentation, image compression and color image processing and other related technologies.
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Size: 1009664 |
Author: yangou |
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Description: 论述了医学图像挖掘在计算机辅助诊断中的作用，提出了采用灰度级作为 CT 图像特征的思想、灰度级的提取和存储方法，介绍
了采用决策树分类算法和基于密度的聚类算法对胸部和头部 CT 图像进行分类和聚类的结果及其分析，给出了分析的结论和进一步的研究方向。-Image mining Computer-aided diagnoses Luminance grade Classification Clustering
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Size: 156672 |
Author: Erin |
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Description: Image generator it will default generate number of bmp files and mining the images based on key values-Image generator it will default generate number of bmp files and mining the images based on key values...
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Size: 1590272 |
Author: sivaganesh |
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Description: Image Data Mining and Image Processing/Machine Learning
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Size: 3163136 |
Author: zaheer |
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Description: 图像挖掘的论文集锦，非常有帮助，包括对图像挖掘的模型、技术和算法的研究。-the tutorials of image mining, it s very helpful. Including the models, technique and algorithm.
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Size: 5013504 |
Author: 杜宾 |
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Description: IEEE paper on image mining
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Size: 701440 |
Author: suresh |
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Description: This a image mining paper-This is a image mining paper
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Size: 291840 |
Author: RIYAZ |
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Description: Four crucial issues are considered by the proposed HoAL: 1) unlike binary cases, the selection granularity for multilabel active learning need to be fined from example to examplelabel pair 2) different labels are seldom independent, and label correlations provide critical information for efficient learning 3) in addition to pair-wise label correlations, high-order label correlations are also informative for multilabel active learning and 4) since the number of label combinations increases exponentially with respect to the number of labels, an efficient mining
method is required to discover informative label correlations-Four crucial issues are considered by the proposed HoAL: 1) unlike binary cases, the selection granularity for multilabel active learning need to be fined from example to examplelabel pair 2) different labels are seldom independent, and label correlations provide critical information for efficient learning 3) in addition to pair-wise label correlations, high-order label correlations are also informative for multilabel active learning and 4) since the number of label combinations increases exponentially with respect to the number of labels, an efficient mining
method is required to discover informative label correlations
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Size: 7168 |
Author: sreenu |
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Description: Four crucial issues are considered by the proposed HoAL: 1) unlike binary cases, the selection granularity for multilabel active learning need to be fined from example to examplelabel pair 2) different labels are seldom independent, and label correlations provide critical information for efficient learning 3) in addition to pair-wise label correlations, high-order label correlations are also informative for multilabel active learning and 4) since the number of label combinations increases exponentially with respect to the number of labels, an efficient mining
method is required to discover informative label correlations
-Four crucial issues are considered by the proposed HoAL: 1) unlike binary cases, the selection granularity for multilabel active learning need to be fined from example to examplelabel pair 2) different labels are seldom independent, and label correlations provide critical information for efficient learning 3) in addition to pair-wise label correlations, high-order label correlations are also informative for multilabel active learning and 4) since the number of label combinations increases exponentially with respect to the number of labels, an efficient mining
method is required to discover informative label correlations
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Size: 7168 |
Author: sreenu |
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Description: a part of image mining code
based on xi zhao .pro code
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Size: 3072 |
Author: mkr |
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Description: Various methods and techniques in image mining - persian paper
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Size: 608256 |
Author: yasoob_dear |
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