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The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local featurexs extraction and matching. Algorithms incldue Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixes, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. The latest version of VLFeat is 0.9.19.
Date : 2025-12-14 Size : 2.88mb User : zhaiyunlong

You can get a very accurate amplitude, frequency, phase estimation, K-means clustering algorithm based on the PSO, matlab development toolbox support vector machine.
Date : 2025-12-14 Size : 39kb User : 薛武群
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