Search - shift-means

Search - shift-means - List

[Windows Develop] Modelling-beyond-Regression-Function DL : 0: An enormous amount of publications deals with smoothing in the sense of nonpara- metric regression. However, nearly all of the literature treats the case where predictors and response are related in the form of a function y = m(x) + noise. In many situa- tions this simple functional model does not capture adequately the essential relation between predictor and response. We show by means of speed-°ow diagrams, that a more general setting may be required, allowing for multifunctions instead of only functions. It turns out that in this case the conditional modes are more appropriate for the estimation of the underlying relation than the commonly used mean or the median. Estimation is achieved using a conditional mean-shift procedure, which is adapted to the present situation.
Date : Size : 387kb User : xujin
[Other] vlfeat-0.9.17-bin.tar DL : 0: The VLFeat open source library ，可以用来进行HOG,SIFT等，这是最新版的VLFeat-The VLFeat open source library implements popular computer vision algorithms including HOG, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, and quick shift. 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 0.9.17.
Date : Size : 13.47mb User : 飞翔
[CSharp] gerbil-1.0b-win-x64 DL : 0: image segmentation with k-means algorithm and mean shift clustering and filtering
Date : Size : 16.6mb User : chawki
[Other] segmentation DL : 0: Segmentation with k means clustering and mean shift
Date : Size : 1.75mb User : taatyaa
[Windows Develop] vlfeat-0.9.20.tar DL : 0: VLFeat是一个跨平台的开源机器视觉库，它囊括了当前流行的机器视觉算法，如SIFT, MSER, HOG, 同时还包含了诸如K-MEANS, Hierarchical K-means的聚类算法。它由C语言编写，并提供了Matlab接口及详细的文档。当前最新的版本是VLFeat 0.9.18 。(The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching. Algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, 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 0.9.20.)
Date : Size : 2.88mb User : mgx0225