搜索资源列表
Matlab
- 为了提高四足机器人在复杂环境下的适应性,重点研究了采用飞行时间(TOF)原理相机的四足机器人环境感知策略并改进了地形识别及路径规划算法.首先采用高斯过程回归(GPR)模型对TOF相机的距离数据进行误差校正,解决了采用传统多项式或三角函数模型进行误差修正时模型阶次过高及函数组合复杂的问题.基于得到的环境深度信息,采用数字高程模型(DEM)进行地形描述,并通过计算各栅格的坡度、粗糙度、起伏度对地形进行识别.粗糙度由该栅格所处的坡度平面与其8邻域高程点的离散程度进行计算,避免了采用高程方差计算时对粗糙
SR-Gausian
- Single Image Super-Resolution using Gaussian Process Regression Method
GP
- gaussian process regression for communication.Is very helpful for beginners.
GP
- 用matlab编写的高斯过程的算法，常用于预测和分类-Algorithm using matlab Gaussian process, commonly used in the prediction and classification
gpml-matlab-v3.6-2015-07-07
- 这是一个高斯过程回归和分类工具箱，功能非常齐全，可以为解决高斯过程相关的问题提供很多帮助- GAUSSIAN PROCESS REGRESSION AND CLASSIFICATION Toolbox version 3.6 for GNU Octave 3.2.x and Matlab 7.x Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2015-07-07. 0) HOW
Gaussian
- 高斯滤波程序，分别采用5*5模板，一维高斯滤波，二维高斯滤波等方法对图像进行滤波处理-Gaussian filtering procedures were used to 5* 5 templates, one-dimensional Gaussian filter, two-dimensional Gaussian filtering methods for image filtering process
EM
- 求高斯过程的参数-Arguments seeking Gaussian Process
bgfg
- 高斯处理对视频做好前景与背景的分离，并跟踪目标！-Gaussian process video and track prospects do background isolated
HRTF_Paper2
- Gaussian process data fusion for heterogeneous HRTF datasets
HRTF_Paper3
- Gaussian process models for HRTF based 3D sound localization
Machine-Learning-
- Efficient Learning of Image Super-resolution and Compression Artifact Removal with Semi-Local Gaussian Proce-Efficient Learning of Image Super-resolution and Compression Artifact Removal with Semi-Local Gaussian Process
GPR
- 利用高斯过程回归建立软测量模型，主程序名为OnlineStage.m,包含数据，可以直接运行，亲测可用。-Gaussian process regression soft sensor model, the main program named OnlineStage.m, contains data that can be run directly, pro-test available.
gpr_ME
- 高斯过程回归，适用于初学高斯过程回归和分类的同学，有完整的实例与多种辅助函数说明,例如用高斯过程回归进行信道的盲均衡。对于高斯过程回归与分类的进一步学习有很大的帮助。-Gaussian process regression, suitable for beginners gaussian process regression and classification of the classmate, a complete instance and a variety of auxiliary fu
ocgaosi
- 基于高斯过程的一类算法，发表在模式识别期刊上。-A classification algorithm based on gaussian process
Background-isolated
- 背景分离，高斯处理视频，并做前后背景分离，跟踪运动目标-Background separation, Gaussian process video, and do before and after the separation of the background and track moving targets
gaosifansuan
- 这个用C#编译的程序可以用来进行大地测量中的高斯反算的过程，且计算结果较为准确。-The program compiled using C# can be used for geodetic inverse Gaussian process, and the results are more accurate.
Filtering-process
- 对图像分别进行平均滤波，高斯滤波，中值滤波-The images are averaged filtering, Gaussian filtering, median filtering
image-sharpening-process
- 对图像进行高斯拉普拉斯log锐化和二阶拉普拉斯锐化-The image log Gaussian Laplacian sharpening and second sharpening Laplace
kalman
- Overview The Simulink model shows an example how the Kalman Filter can be implemented in Simulink. The model itself is configured with a Gaussian process connected with a Kalman Filter. To directly use this model, one only needs to provi
GP
- 基于贝叶斯理论的高斯过程代码，包含高斯过程回归分析，以及相关噪声处理和高斯过程分类，提供数据进行测试，-Gauss procedure code based on Bayesian theory, including Gaussian process regression analysis, and related processing and noise Gaussian process classification, to provide data for testing, etc.