Search - matlab diffusion map

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[Special Effects] smooth_diffusion DL : 0: 实现把Color图像转化为RGB分量图的matlab程序代码和扩散方程滤波的源代码-achieving Color images into RGB component map Matlab code and filter diffusion equation Wave of source code
Update : 2008-10-13 Size : 1.47kb Publisher : 林道庆
[Special Effects] smooth_diffusion DL : 0: 实现把Color图像转化为RGB分量图的matlab程序代码和扩散方程滤波的源代码-achieving Color images into RGB component map Matlab code and filter diffusion equation Wave of source code
Update : 2025-02-17 Size : 1kb Publisher : 林道庆
[AI-NN-PR] mani DL : 0: mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions. MANI Website: httP://www.math.umn.edu/~wittman/mani/index.html Last Modified by GUIDE v2.5 10-Apr-2005 13:28:36 Methods obtained from various authors. (1) MDS -- Michael Lee (2) ISOMAP -- J. Tenenbaum, de Silva, & Langford (3) LLE -- Sam Roweis & Lawrence Saul (4) Hessian LLE -- D. Donoho & C. Grimes (5) Laplacian -- M. Belkin & P. Niyogi (6) Diffusion Map -- R. Coifman & S. Lafon (7) LTSA -- Zhenyue Zhang & Hongyuan Zha -mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions. MANI Website: httP://www.math.umn.edu/~wittman/mani/index.html Last Modified by GUIDE v2.5 10-Apr-2005 13:28:36 Methods obtained from various authors. (1) MDS-- Michael Lee (2) ISOMAP-- J. Tenenbaum, de Silva, & Langford (3) LLE-- Sam Roweis & Lawrence Saul (4) Hessian LLE-- D. Donoho & C. Grimes (5) Laplacian-- M. Belkin & P. Niyogi (6) Diffusion Map-- R. Coifman & S. Lafon (7) LTSA-- Zhenyue Zhang & Hongyuan Zha
Update : 2025-02-17 Size : 14kb Publisher : suxin
[Special Effects] NonnegJune2009 DL : 0: 当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。- This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio
Update : 2025-02-17 Size : 422kb Publisher : sun
[AI-NN-PR] diff_code DL : 0: 降维DM算法，用于diffusion map降维，代码很全很细致。(Dimensionality reduction algorithm)
Update : 2025-02-17 Size : 11.11mb Publisher : 磊007