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Digital Signal Processing with Kernel Methods 2018
Digital Signal Processing with Kernel Methods 2018.part1.rar
(12.4 MB, 下载次数: 422 )
Digital Signal Processing with Kernel Methods 2018.part2.rar
(10.59 MB, 下载次数: 387 )
In 
we were finishing or had just finished our PhD theses in electronics andsignal processing departments in Spain. Each of us worked with complicated anddiverse datasets, ranging from the analysis of signals from patients in cooperation withhospitals, to satellite data imagery and antenna signals. All of us had grown in anacademic environment where neural networks were at the core of machine learning,and our theses also dealt with them. However, support vector machines (SVMs) had justarrived, and we enthusiastically adopted them. We were probably the Spanish pioneersusing them for signal processing. It took a bit to understand the fundamentals, butthen everything became crystal clear. It was a clean notation, a neat methodology,often involved straightforward implementations, and admitted many alternatives andmodifications. After understanding the SVM classification and regression algorithms(the two first ones that the kernel community delivered), we saw the enormous potentialfor writing other problems than maximum margin classifiers, and to accommodate theparticularities of signal and image features and models. |
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创芯大讲堂
创芯人才网
发表于 2018-8-16 17:39:55
