1、Methods Non-parameter kernel density estimation method was adopted.

2、New multivariable nonparametric kernel density estimation model and its application

3、Then, based on the analysis of possible limitation of LS estimation, the ridge estimation is put forward to establish the equation of canopy density estimation.

4、A novel PNN model with training algorithms is proposed for class conditional density estimation.

5、A new method for density estimation was developed based on the Support Vector Machine (SVM).

6、Then the rice yield in Jiangsu is fitted by nonparametric kernel density estimation method.

7、Crowd density estimation is very important to building designs and crowd safety.

8、SVM is a kind of general learning algorithms, which has been widely used in pattern recognition, regression estimation, function approximation, density estimation, etc.

9、This paper introduced the selection principle and method about a reasonable kernel function and bandwidth based on the nonparametric kernel density estimation and kernel regression estimation.

10、The background samples are chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation is used to estimate the probability density function of background intensity.

11、The r-order mean consistency for the kernel-type density estimation in the case of pairwise NQD sequences

12、Infrared objects are represented by the intensity distribution, which is defined by the kernel-based density estimation.

13、The kernel density estimation model for RGB color space can suppress the cast shadows in color videos, but it is not valid for intensity videos.

14、A technique for catching a dense region of crowd based on crowed density estimation of the local region and region segmentation is studied.

15、In order to improve the performance of median filter and enhance adaptability for different intensity pepper-salt noise, a median filter based on noise density estimation is proposed.

16、To overcome the shortcomings of the GCOD, a high-dimensional clustering algorithm for data mining, the paper proposes an intersected grid clustering algorithm based on density estimation (IGCOD).

17、Mean shift based image segmentation algorithm is a kind of kernel density estimation based feature space analysis algorithm, and the nature of it is statistical optimization.