SVM is a kind of general learning algorithms, which has been widely used in pattern recognition, regression estimation, function approximation, density estimation, etc.
支撑矢量机是一种普适的算法,已经广泛地用于模式识别、回归估计、函数逼近、密度估计等方面。
2
The background samples are chosen by thresholding inter-frame differences, and the Gaussian kernel densityestimation is used to estimate the probability densityfunctionof background intensity.
通过相隔固定的帧差值阅值化得到背景样本值,并采用高斯核密度估计方法计算背景灰度的概率密度函数。
3
An introduction is Made of the method of using the weight of probability densityfunctionof error distribution law to conduct anti-error estimation.