资源列表
AWT
- awt,即各项异性小波变换的matlab实现-awt, anisotropy wavelet transform matlab implementation
ReadMe
- Estimate sensor positions based on semidefinite programming relaxation of the non-convex optimization problem (1), followed by steepest descent with backtracking line search on smooth unconstrained problem (2).
200432912531949023
- 数据库代码,主要是讲的是数据库的程序。用在MAPX地理信息软件里面-Database code, mainly talking about is a database program
CV_TEST_GUASS_CANNY
- 基于OPENCV的图像与处理基本算法,包括canny算子、高斯模糊两种处理方法。在控制台应用程序下编写-Based on the the OPENCV image processing of the basic algorithm, including the canny operator, the Gaussian blur handled in two ways.
OTSU
- 图像处理方法中基于最大类间方差的OTSU算法,最后得到的thresholdValue即为所求的分割阈值。 -OTSU algorithm based on maximum variance between the image processing method, and finally get to ask thresholdValue is the threshold value.
1
- 一个关于图像分割的matlab程序,大家可以参考一下,帧差分法-An image edge detection and image segmentation matlab program, we can refer to
Matlab1
- matlab小波函数汇总,大家可以参考一下-matlab wavelet function summary, we can refer to
MATLAB2
- 利用小波包分析信号的matlab程序,大家可以参考-Matlab program using wavelet packet analysis of the signal, we can refer to
scale
- 一个比例尺的函数,里面画了不同样式的比例尺,但是他没有和地理相关连-A scale function, which drew a different style of scale, but he did not, and geographic-related
Feature-Imagination-
- 基于特征联想的视觉跟踪模型,用特征联想来修正特征模型,使跟踪更加鲁棒,使适应目标的突然形变。-Visual tracking model based on features of the Lenovo features of Lenovo to fix the feature model, to make tracking more robust, so to adapt to sudden deformation of the target.
Incremental-Learning-for-Tracking
- 在线增量地学习目标模板的特征,以求能更加鲁棒地跟踪目标。英文文献,07年发表的,很经典的一篇文献。-Incrementally learning the characteristics of the target template, in order to be more robust to track the target. English literature, published in 2007, it is a literature classic.
REDUCTION-FOR-MIL--
- 为MIL,即multiple instance learning,多实例学习,来进行特征降维,大大减少计算量。2010年,IEEE收录的。-MIL, the multiple the instance learning and multi-instance learning for feature dimensionality reduction, greatly reduce the amount of calculation. In 2010, the IEEE included.
