For this purpose, we employed the normalized volume element of the Bures (minimal monotone) metric as a probability distribution over the fifteen-dimensional convex set of 4 x 4 density matrices. Here, we provide further/independent (quasi-Monte Carlo numerical integration) evidence of a stronger ...
How many miles to $\\beta\\omega$? -- Approximating $\\beta\\omega$ by metric-dependent compactifications 来自 arXiv.org 喜欢 0 阅读量: 54 作者:M Kada,K Tomoyasu,Y Yoshinobu 摘要: It is known that the Stone-\v{C}ech compactification $\stonecech{X}$ of a non-compact metrizable ...
aDespite the fact that the view-dependent error metric does not provide a guaranteed error bound, it is very efficient in practice and provides good terrain simplification while maintaining plausible visual results. 竟管看法依赖错误公尺不提供一个保证的错误区域,它实践上是非常高效率的并且提供好地形简单...
来源期刊 Phys.rev.d 研究点推荐 physical degrees of freedom Canonical formalism Derivative-dependent metric transformation 引用走势 2016 被引量:25 0关于我们 百度学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们保持学习的态度,不忘初心,砥砺前行...
The metric graph model is suggested for description of elastic vibration in a network of rods under the assumption that the rod lengths vary in time. A single rod and star-like graph are considered. Influence of the length variation law on the vibration distribution is in...
aTeam member: 队员:[translate] astart-up enterprise 起始的企业[translate] aNormal international (metric) drawing template. Uses Color Dependent Plot Styles. 正常国际 (公尺) 图画模板。 用途上色依赖剧情样式。[translate]
TADAM: Task dependent adaptive metric for improved few-shot learning 任务依赖的自适应度量 metric scaling and metric task conditioning很重要 metric度量中,欧式距离效果好于余弦距离 1.尺度 scale the distance metric by a learnable temperature α 交叉熵损失: 最小化同类别的距离,最大化非同类别的距离。
An entropy formula for the heat equa- tion on manifolds with time-dependent metric, application to ancient solutions, preprint.Guo, H., Philipowski, R. and Thalmaier, A.: An entropy formula for the heat equation on manifolds with time-dependent metric, application to ancient solutions. ...
Despite the fact that the view-dependent error metric does not provide a guaranteed error bound, it is very efficient in practice and provides good terrain simplification while maintaining plausible visual results.问题补充:匿名 2013-05-23 12:21:38 尽管事实视图依赖的误差度量不提供担保的误差范围,...
Metric Scaling: 这是第一个提出度量缩放来提高小样本算法的性能的研究。 Task Conditioning: 我们使用任务编码网络来提取基于任务样本集的任务表示。这用于通过FILM[19]影响特征提取器的行为。 Auxiliary task co-training: 在传统的监督分类任务上共同训练特征提取降低了训练复杂性,并提供了更好的泛化。