拉普拉斯的G-不变图第I部分:收率和自身分解
Eitan Rosen1, Paulina Hoyos2, Xiuyuan Cheng3
1Department of Applied Mathematics, Tel-Aviv University, Tel-Aviv, Israel.
概括
我们为多重数据引入一个G-不变图拉普拉斯图 (G-GL). 这种新的方法提高了缩小维度和聚类任务的收率.
科学领域:
- 多重学习多重学习
- 几何深度学习 几何深度学习
- 律分析 律分析
背景情况:
- 图形拉普拉斯算法对于多重数据分析是有效的.
- 现有的方法对于具有群对称性的数据缺乏效率.
研究的目的:
- 开发一种新的图形拉普拉斯式构造,用于具有群对称性的多重数据.
- 提高数据分析任务中的收率和计算效率.
主要方法:
- 构建一个G-不变图拉普拉西安 (G-GL) 通过结合距离从小组行动.
- 分析G-GL对拉普拉斯-贝尔特拉米演算子的收性质.
- 使用FT型算法推导G-GL的自函数.
主要成果:
- 与标准图Laplacians相比,G-GL显示了较好的收率.
- G-GL固有函数是可以有效计算的.
- 在过噪音数据上的有效性已被证明. SU(2) 分组器.
结论:
- 拉普拉斯的G不变图为分析对称多元数据提供了一个强大的工具.
- 这种方法增强了现有的多重学习技术.
更多相关视频
10:44Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
Published on: December 7, 2021
2.3K
05:12ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
Published on: January 16, 2019
11.5K
相关概念视频
Region of Convergence of Laplace Tarnsform
732
The Region of Convergence (ROC) is a fundamental concept in signal processing and system analysis, particularly associated with the Laplace transform. The ROC represents an area in the complex plane where the Laplace transform of a given signal converges, determining the transform's applicability and utility.
Consider a decaying exponential signal that begins at a specific time. When deriving its Laplace transform, the time-domain variable is replaced with a complex variable. This...
Consider a decaying exponential signal that begins at a specific time. When deriving its Laplace transform, the time-domain variable is replaced with a complex variable. This...
732
Second Derivatives and Laplace Operator
1.5K
The first order operators using the del operator include the gradient, divergence and curl. Certain combinations of first order operators on a scalar or vector function yield second order expressions. Second-order expressions play a very important role in mathematics and physics. Some second order expressions include the divergence and curl of a gradient function, the divergence and curl of a curl function, and the gradient of a divergence function.
Consider a scalar function. The curl of its...
Consider a scalar function. The curl of its...
1.5K
Properties of Laplace Transform-II
306
Time differentiation, convolution, integration, and periodicity are fundamental concepts in analyzing functions and signals over time. Each concept provides a unique perspective on how functions evolve, interact, and repeat, offering essential tools for various scientific and engineering applications.
Time differentiation involves analyzing the rate of change of a function over time. Mathematically, it is the derivative of a function with respect to time. This concept can be likened to tracking...
Time differentiation involves analyzing the rate of change of a function over time. Mathematically, it is the derivative of a function with respect to time. This concept can be likened to tracking...
306
Properties of Laplace Transform-I
653
The Laplace transform is a powerful mathematical tool used to convert functions from the time domain into the frequency domain, greatly simplifying the analysis and solution of linear time-invariant systems. This transformation is facilitated by several universal properties: Linearity, Time-Scaling, Time-Shifting, and Frequency Shifting.
The Linearity property is foundational to the Laplace transform. It states that the transform of a linear combination of functions is equivalent to the same...
The Linearity property is foundational to the Laplace transform. It states that the transform of a linear combination of functions is equivalent to the same...
653
Definition of Laplace Transform
3.2K
The Laplace transform is an indispensable mathematical technique for simplifying the resolution of differential equations by converting them into more manageable algebraic expressions. The Laplace transform of a function is denoted by L[x(t)], where x(t) is the time-domain function. The laplace transform is mathematically expressed as
3.2K
Poisson's And Laplace's Equation
3.5K
The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
3.5K
