نتایج جستجو برای: few character kernels
تعداد نتایج: 431324 فیلتر نتایج به سال:
Kernel methods are a class of non-parametric learning techniques relying on kernels. A kernel generalizes dot products to arbitrary domains and can thus be seen as a similarity measure between data points with complex structures. The use of kernels allows to decouple the representation of the data from the specific learning algorithm, provided it can be defined in terms of distance or similarit...
a kernel $j$ of a digraph $d$ is an independent set of vertices of $d$ such that for every vertex $w,in,v(d),setminus,j$ there exists an arc from $w$ to a vertex in $j.$in this paper, among other results, a characterization of $2$-regular circulant digraph having a kernel is obtained. this characterization is a partial solution to the following problem: characterize circulant digraphs which hav...
Chinese has been recognized as one of most major languages in the world, and it is evident that more and more people are interested in understanding or using Chinese. Thus, developing an efficient approach for learning Chinese characters is considered as an important issue. Certain previous studies have suggested various methods to learning Chinese characters for the purpose of showing students...
Roasting is the most common way for pistachio nuts processing, and the purpose of that was to increase the products total acceptability. Purpose of this study was to investigate the effect of temperature (90, 120 and 150°C), time (20, 35 and 50 min), and roasting air velocity (0.5, 1.5 and 2.5 m/s) on geometrical attributes of pistachio nuts and kernels including principle dimensions, shape fac...
We present a synchronous time-based dual-threshold imager that experimentally achieves 95.5 dB dynamic range, while consuming 1.79 nJ/pixel/frame, making it one of the most wide-dynamic-range energy-efficient imagers reported. The imager has 150x256 pixels, with a pixel pitch of 12.5μm x 12.5μm and a fill factor of 42.7%. The imager is intended for use in a brain-machine visual prosthesis for t...
Cluster computing has emerged as a viable alternative to massively parallel supercomputers to cope with the computing demands of scientists and HPC application developers. Cluster machines, built on top of Commodity Off The Shelf components and based on open source software are becoming very popular. It is thus important to characterize the performance of these machines and to investigate the s...
This thesis develops the theory and practise of reproducing kernel methods. Many functional inverse problems which arise in, for example, machine learning and computer graphics, have been treated with practical success using methods based on a reproducing kernel Hilbert space perspective. This perspective is often theoretically convenient, in that many functional analysis problems reduce to lin...
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