The power spectrum of white Gaussian noise follows Gaussian distribution.
The power spectrum of white Gaussian noise follows Gaussian distribution.
Gaussian lowpass filter has ringing properties.
Gaussian lowpass filter has ringing properties.
Thermal noise is a stationary, zero-mean Gaussian process.
Thermal noise is a stationary, zero-mean Gaussian process.
Thermal noise is a stationary, zero-mean Gaussian process. A: 正确 B: 错误
Thermal noise is a stationary, zero-mean Gaussian process. A: 正确 B: 错误
Gaussian distribution A: equal probability B: normal distribution C: area of a circle D: hash table
Gaussian distribution A: equal probability B: normal distribution C: area of a circle D: hash table
If there is no charge inside the Gaussian surface, the field [img=14x24]180356c02c2f797.png[/img] on the surface must be zero everywhere.
If there is no charge inside the Gaussian surface, the field [img=14x24]180356c02c2f797.png[/img] on the surface must be zero everywhere.
All of the following are supervised learning ( ) . A: Neural network, Gaussian process regression, decision tree B: Decision tree, Gaussian process regression, collaborative training C: Decision tree, support vector machine, cluster analysis D: Decision tree, neural network, cluster analysis
All of the following are supervised learning ( ) . A: Neural network, Gaussian process regression, decision tree B: Decision tree, Gaussian process regression, collaborative training C: Decision tree, support vector machine, cluster analysis D: Decision tree, neural network, cluster analysis
Which is the typical common kernels? A: Linear B: Polynomial C: Radial basis function (Gaussian kernel) D: Sigmoid kernel
Which is the typical common kernels? A: Linear B: Polynomial C: Radial basis function (Gaussian kernel) D: Sigmoid kernel
下列哪些节点或滤镜可以实现背景虚化效果? A: Gaussian Blur B: ZDefocus C: ZBlur D: Erode
下列哪些节点或滤镜可以实现背景虚化效果? A: Gaussian Blur B: ZDefocus C: ZBlur D: Erode
高斯混合模型Gaussian Mixture Models是假定数据集满足高斯分布的情况下采用的一种聚类方法
高斯混合模型Gaussian Mixture Models是假定数据集满足高斯分布的情况下采用的一种聚类方法