搜索资源列表
Saliency-Detection
- 提出一种新的显着性检测方法，通过将区域级显着性估计和像素级显着性预测与CNN（表示为CRPSD）相结合。对于像素级显着性预测，通过修改VGGNet体系结构来执行完全卷积神经网络（称为像素级CNN）以执行多尺度特征学习，基于该学习进行图像到图像预测以完成像素级显着性检测。对于区域级显着性估计，首先设计基于自适应超像素的区域生成技术以将图像分割成区域，基于该区域通过使用CNN模型（称为区域级CNN）来估计区域级显着性。通过使用另一CNN（称为融合CNN）融合像素级和区域级显着性以形成nal显着图，并
ningbao
- 用于特征降维，特征融合，相关分析等,用MATLAB实现动态聚类或迭代自组织数据分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。- For feature reduction, feature fusion, correlation analysis, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Including the MUSIC algorithm, ESPRI
henglui
- 可实现对二维数据的聚类，高斯白噪声的生成程序，用于特征降维，特征融合，相关分析等。- Can realize the two-dimensional data clustering, Gaussian white noise generator, For feature reduction, feature fusion, correlation analysis.
sun_v53
- MIMO OFDM matlab仿真,用于特征降维，特征融合，相关分析等,数据模型归一化，模态振动。- MIMO OFDM matlab simulation, For feature reduction, feature fusion, correlation analysis, Normalized data model, modal vibration.
YUVOSDMixerTest
- yuv数据与文字叠加demo显示，用于YUV视频帧数据与文字的融合处理-YUV data and text overlay demo display for YUV video frame data and text fusion processing
buibao
- 用于特征降维，特征融合，相关分析等,用MATLAB实现动态聚类或迭代自组织数据分析，使用大量的有限元法求解偏微分方程。- For feature reduction, feature fusion, correlation analysis, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Using a large number of finite element method to sol
pao_uh30
- 迭代自组织数据分析，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,用于特征降维，特征融合，相关分析等。- Iterative self-organizing data analysis, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, For feature reduction, feature fusion, correla
jei_v55
- 用于特征降维，特征融合，相关分析等,基于matlab平台实现,isodata 迭代自组织的数据分析。- For feature reduction, feature fusion, correlation analysis, Based on matlab platform, Isodata iterative self-organizing data analysis.
mdwsk
- 可实现对二维数据的聚类，用于特征降维，特征融合，相关分析等,PLS部分最小二乘工具箱。- Can realize the two-dimensional data clustering, For feature reduction, feature fusion, correlation analysis, PLS PLS toolbox.
ywsyx
- 用于建立主成分分析模型，数据模型归一化，模态振动，用于特征降维，特征融合，相关分析等。- Principal component analysis model for establishing, Normalized data model, modal vibration, For feature reduction, feature fusion, correlation analysis.
brdks
- Achieve serial data acquisition, For feature reduction, feature fusion, correlation analysis, Compared with the results of theoretical analysis.
image-sentiment-analysis
- 图片情感分析模型，基于卷积神经网络，以颜色特征为依据进行情感分类，图片情感极性分为积极和消极两类。(The model can extract the hue, brightness, contrast and other information from a picture to represent the emotional polarity of the image. The image sentiment analysis model is using convolution neura
decision
- DSmT理论中的决策规则函数源码，对于信息融合的应用有一定的参考价值，尤其对应于冲突性数据。(DSmT theory of decision rule function source code, for the application of information fusion has some reference value, especially in conflict with data.)
tools
- DSmT理论中的工具箱函数源码，包括超幂集的产生等等，对于信息融合的应用有一定的参考价值，尤其对应于冲突性数据。(DSmT theory toolbox function source code, including the generation of super power set, and so on, for the application of information fusion, there is a certain reference value, especially in co
mpu6050
- 利用单片机读取mpu6050的数据。用加速度值输出的数据求出X和Y轴上的倾斜角；用陀螺仪输出的的角速度值积分出旋转角度。 然后融合加速度计与陀螺仪的数据，最后滤波获得更好的效果。(Use singlechip to read mpu6050 data. The angle of the X and Y axes is calculated by the output data of the acceleration value, and the rotation angle is integra
对栅格数据的操作
- 利用arcgis engine开发的桌面GIS程序，主要是对栅格数据的处理，包括栅格图像的剪切、融合等(The use of ArcGIS Engine desktop GIS development program, mainly for raster data processing, including raster image cutting, fusion and so on)
kissx
- Interpolation and fitting, solution of equations, data analysis, For feature reduction, feature fusion, correlation analysis, Using common plane wave expansion method.
biu_v24
- For feature reduction, feature fusion, correlation analysis, You can achieve data classification and regression pattern recognition, Multi-target tracking particle filter.
trkvj
- Suppressed carrier type differential phase modulation, Independent component analysis algorithm reduces the raw data noise, For feature reduction, feature fusion, correlation analysis.
aj136
- For feature reduction, feature fusion, correlation analysis, Interpolation and fitting, solution of equations, data analysis, LZ complexity is reflected in a time sequence.