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搜索结果: 1-15 共查到Dimensionality相关记录49条 . 查询时间(0.062 秒)
Differential computation analysis (DCA) is a technique recently introduced by Bos et al. and Sanfelix et al. for key recovery from whitebox implementations of symmetric ciphers. It consists in applyin...
In language, a small number of meaningless building blocks can be combined into an unlimited set of meaningful utterances. This is known as combinatorial structure. One hypothesis for the initial emer...
Assessment of “exercise readinessis a central component to the flexible non-linear periodization (FNLP) method of organizing training workloads, but the underlying factor structure of this construct...
Reducing the dimensionality of the measurements is an important problem in side-channel analysis. It allows to capture multi-dimensional leakage as one single compressed sample, and therefore also hel...
Health literacy is both a personal asset and a risk factor (Nutbeam, 2008). It is defined by the Wo rld Health Organization (WHO, 1998) as "the co gnitive and social skills which determine the motivat...
Multi-variate side-channel attacks allow to break higher-order masking protections by combining several leakage samples. But how to optimally extract all the information contained in all possible d-...
A dimensionality reduction algorithm based on feature extraction of the spectral curve using fractal analysis which considering both the spatial characteristic and spectral characteristic of hyper spe...
We present a unified duality view of several recently emerged spectral methods for nonlinear dimensionality reduction, including Isomap, locally linear embedding, Laplacian eigenmaps, and maximum vari...
In this work we show how to resolve, at least partially, the curse of dimensionality of likelihood ratios (LRs) while using importance sampling (IS) to estimate the performance of high-dimensional Mon...
A model problem, based on the NACA0012 airfoil, is studied. The thickness distribution of the symmetric NACA0012 airfoil is optimally approximated with a 4th-order Bezier curve. This best-fit ap...
Dimensionality Reduction for Speech Recognition Using Neighborhood Components Analysis.
Minimal attention has been devoted to examining the dimensionality of self-control. The present study tested a multidimensional model of self-control in which dimensions were based on the nature of th...
We consider the statics and dynamics of dark matter-wave solitons in the dimensionality crossover regime from three dimensions (3D) to one dimension (1D). There, using the nonpolynomial Schröding...
This study attempts to measure and characterize urban sprawl using its multiple dimensions in the Jamnagar city, India. The study utilized the multi-date satellite images acquired by CORONA, IRS 1D PA...

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