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Description: This is the Matlab implementation of the algorithm described in "Camera Shading Calibration Using a Spatially Modulated Field" by Johann A. Schoonees and G. Terry Palmer, in Proceedings of the 24th International Conference Image and Vision Computing New Zealand (IVCNZ 2009), pp. 191-196, Wellington, New Zealand,
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Author: 20905287@bit.edu.cn |
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Description: 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.
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Author: 金星 |
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Description: Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.-Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics- Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.
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Size: 31744 |
Author: 修宇 |
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Description: 一个非常好的时间序列工具箱，详细使用说明见P. M. T. Broersen, Automatic Spectral Analysis with Time Series Models, IEEE Transactions on Instrumentation and Measurement, Vol. 51, No. 2, April 2002, pp. 211-216.
-a very good time series toolbox, detailed description of the use of P. T. M. Broersen. Automatic Spectral Analysis with Time Series M odels. IEEE Transactions on Instrumentation and Meas urement, Vol. 51, No. 2, April 2002, pp. 211-216.
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Author: rex |
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Description: iNEDI is an acronym for "improved New Edge-Directed Interpolation".
This function implements an improvement of the original NEDI technique
described on:
X. Li et. al., "new edge-directed interpolation". IEEE Trans. on
Image Processing, Vol.10, No.10, October 2001, pp.1521-1527
-iNEDI is an acronym for "improved New Edge- Directed Interpolation. " This function imple ments an improvement of the original GaAs techn ique described on : X. Li et. al. , "new edge-directed interpolation." IEEE Tran s. on Image Processing, Vol.10, No.10, 373,890 bytes, pp.1521- 1527
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Size: 27648 |
Author: 林志林 |
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Description: 算法实现:Jieping Ye. Generalized low rank approximations of matrices. Machine Learning, Vol. 61, pp. 167-191, 2005. -Algorithm : Jieping Ye. Generalized low rank approximatio ns of matrices. Machine Learning, Vol. 61. pp. 167-191, 2005.
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Size: 1024 |
Author: lxm |
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Description: 图论中最小生成树Kruskal算法 及画图程序 M-函数
格式 [Wt,Pp]=mintreek(n,W)：n为图顶点数,W为图的带权邻接矩阵，不构成边的两顶点之间的权用inf表示。显示最小生成树的边及顶点, Wt为最小生成树的权,Pp(:,1:2)为最小生成树边的两顶点,Pp(:,3)为最小生成树的边权,Pp(:,4)为最小生成树边的序号 附图,红色连线为最小生成树的图
例如
n=6 w=inf*ones(6)
w(1,[2,3,4])=[6,1,5] w(2,[3,5])=[5,3]
w(3,[4,5,6])=[5,6,4] w(4,6)=2 w(5,6)=6
[a,b]=mintreek(n,w)
-Graph theory Kruskal minimum spanning tree algorithm and Paint program M-function format [Wt, Pp] = mintreek (n, W): n for the map Vertices, W for weighted graph adjacency matrix, does not constitute the edge of the two vertices of between the right to express with inf. Show the minimum spanning tree of edges and vertices, Wt right for the Minimum Spanning Tree, Pp (:, 1:2) for the minimum spanning tree edges of the two vertices, Pp (:, 3) for the minimum spanning tree of the right side, Pp ( :, 4) For the minimum spanning tree graph edge serial number, red connection for the minimum spanning tree of graph such as n = 6 w = inf* ones (6) w (1, [2,3,4]) = [ 6,1,5] w (2, [3,5]) = [5,3] w (3, [4,5,6]) = [5,6,4] w (4,6) = 2 w (5,6) = 6 [a, b] = mintreek (n, w)
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Author: lluo |
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Description: matlab样条工具箱介绍包括：
三次插值样条函数
PP形式的样条函数的构造及操作
B形式样条函数的构造和应用
其他函数
举例-introduction matlab spline toolbox include: cubic interpolation spline function forms of PP-spline function and operation of the structure form of B-spline function of the structure and application of other functions, for example
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Author: 黄丽 |
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Description: a fast multigrid solver for geometric active contour models
For a detailed description of the method see the paper
G. Papandreou and P. Maragos,
Multigrid Geometric Active Contour Models,
IEEE Transactions on Image Processing, vol. 16, no. 1, pp. 229-240, Jan. 2007.
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Size: 505856 |
Author: wdbigboy |
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Description: These Simulink blocks contain transfer functions that model the pressure and flow transients for axisymmetric 2D viscous flow of a compressible fluid in a straight rigid circular cross section pipelines. Three models are available:
(1) pressures at the ends
(2) flow rates at the ends
(3) pressure at one end and flow rate at the other
Filtering is incorporated to reduce numerical oscillation (Gibbs phenomenon). See J. Dyn. Systems, Meas. & Control vol 122 (2000) pp. 153-162.
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Author: leiming691128 |
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Description: D-S.Kim, Y.S.Lee, W.H.Kwon, and H.S.Park, "Maximum Allowable Delay Bounds in Networked Control Systems", Control Engineering Practice (Elsvier Science) (Simulation Example - Matlab Code), PP.1301-1313, Vol.11, Issue 11, December, 2003-D-S.Kim, Y.S.Lee, W.H.Kwon, and H.S.Park, "Maximum Allowable Delay Bounds in Networked Control Systems", Control Engineering Practice (Elsvier Science) (Simulation Example- Matlab Code), PP.1301-1313, Vol.11, Issue 11, December, 2003
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Size: 3072 |
Author: 田之秋 |
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Description: H.S.Park, D-S.Kim, and W.H.Kwon "A Scheduling Method for Network-based Control Systems", IEEE Transaction on Control System Technology, Vol.10, No.3, pp. 318-330, May, 2002 (Simulation Example 1- Matlab Code) -HSPark, DS.Kim, and WHKwon A Scheduling Method for Network-based Control Systems , IEEE Transaction on Control System Technology, Vol.10, No.3, pp. 318-330, May, 2002 (Simulation Example 1- Matlab Code)
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Author: 田之秋 |
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Description: Matlab源代码 Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision (IJCV), vol.77, no.1-3, pp.125-141, 2008.-Matlab source code for Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision (IJCV), vol.77, no.1-3, pp.125-141, 2008.
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Author: steed |
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Description: This Matlab file demomstrates a narrow band algorithm that implements the level set method in Li et al s paper "Level Set Evolution Without Re-initialization: A New Variational Formulation" in Proceedings of CVPR 05, vol. 1, pp. 430-436.
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Author: Alpha |
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Description: 采用蚁群算法检测图像边缘
This a demo program of image edge detection using ant colony, based on the paper, "An Ant Colony Optimization Algorithm For Image Edge Detection," IEEE Congress on Evolutionary Computation (CEC), pp. 751-756, Hongkong, Jun. 2008. -Ant colony algorithm using edge detection This a demo program of image edge detection using ant colony, based on the paper,
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Size: 18432 |
Author: zzn |
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Description: 主元分析 (Principal Component Analysis, PCA) 又叫：Karhunen-Loeve变换
(KLT)、Hotelling变换。
假设已经从图象已经缩放为N*M大小。
m幅N*M大小的图象Xi作为n*1列向量看待-PCA (Principal Component Analysis, PCA) also known as: Karhunen-Loeve Transform (KLT), Hotelling transform. Assumptions from the image has been scaled to the size N* M. m pieces of N* M-size image Xi as n* 1 vector look out
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Author: 小小 |
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Description: 很好用的投影寻踪程序 matlab开发 -Well with the development of PPE program matlab
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Size: 3072 |
Author: zhang |
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Description: 投影寻踪-基于matlab下的程序，绝对实用-Projection Pursuit- matlab program is absolutely practical
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Size: 3072 |
Author: lideshan |
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Description: Matlab source code for Detecting the image and locating
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Size: 27745280 |
Author: SAGIN |
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Description: 这是一个用遗传算法优化投影寻踪模型的MATLAB程序，简单易懂(This is a genetic algorithm to optimize the projection pursuit model of the MATLAB program, easy to understand.)
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Size: 1024 |
Author: 永远快乐 |
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