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patchwork_spacial
matlab patchwork经典方法的程序。matlab patchwork经典方法的程序。(matlab patchwork classic method of procedure. matlab patchwork classic method of procedure.)
- 2010-10-13 11:11:22下载
- 积分：1
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matlab3
matlab仿真程序，适合初学者，比较实用，可用性高。(matlab simulation program, suitable for beginners, more practical, high-availability.)
- 2008-05-27 10:01:34下载
- 积分：1
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GPstuff-4.5
高斯过程的程序，其中有各种核函数的选择以及系统的详细介绍 是个工具箱 可以慢慢研究(Gaussion process)
- 2015-04-02 14:41:05下载
- 积分：1
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MSA
说明： msa program for the matlab
- 2020-04-29 19:00:58下载
- 积分：1
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Inversa
traonformada inversa de fourirer imagenes
- 2009-06-01 10:07:21下载
- 积分：1
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optical-flow-and-video-processing
Real time optical flow, and video processing, with support for camera input in Matlab.(Start by running "runMe.m"
Supports input through:
a) synthetically generated test images
b) reading avi-file
c) camera input (requires image aquisition toolbox)
Calculates optical flow by 4 different local methods(all moment based), 2 implementations of Lucas and Kanade, and 2 implementations of point-line flow.
Can process easily hundreds of frames per second on a laptop for resolution 200x200 images.)
- 2013-10-03 22:38:20下载
- 积分：1
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tuoluoyi
重点关于陀螺仪的介绍、使用、其他规范。用于飞行器的平衡(Focus on the introduction of gyroscope, using, and other specifications. For the balance of the aircraft
)
- 2015-01-05 14:38:21下载
- 积分：1
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PCAaFisher
source codefor PCA and fisher.
- 2012-01-22 23:43:41下载
- 积分：1
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SOMToolBox
This is unsupervised learning SOM Toolbox for matlab
- 2010-12-16 13:27:41下载
- 积分：1
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final-code
This paper presents a new approach to image segmentation using Pillar K-means algorithm. This
segmentation method includes a new mechanism for grouping the elements of high resolution images in order to
improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by
the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each
other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This
algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and
computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric.
This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering
algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.
- 2014-08-18 13:27:11下载
- 积分：1
