Description: 这是我从网上下载到的Locally Linear Embedding(LLE)的Matlab代码,希望对研究Manifold Leanring的同事有所帮助。-This is my downloaded from the Internet to the Locally Linear Embedding (Locally ) Matlab code, and I hope to study Manifold Leanring colleagues help. Platform: |
Size: 2969 |
Author:赵启军 |
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Description: 这是我从网上下载到的Locally Linear Embedding(LLE)的Matlab代码,希望对研究Manifold Leanring的同事有所帮助。-This is my downloaded from the Internet to the Locally Linear Embedding (Locally ) Matlab code, and I hope to study Manifold Leanring colleagues help. Platform: |
Size: 3072 |
Author:赵启军 |
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Description: 局部线性嵌入法,用于数据降维
.lle.m -- A simple matlab routine to perform LLE.
.scurve.m -- Code to run the "s-curve" example.
.swissroll.m -- Code to run the "swiss roll" example.
-Locally Linear Embedding method for data dimensionality reduction. Lle.m- A simple matlab routine to perform LLE.. Scurve.m- Code to run the s-curve example.. Swissroll.m- Code to run the swiss roll example. Platform: |
Size: 7168 |
Author:Mike |
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Description: 这是LLE的原始算法,原文的参考文献是:S.T.Roweis and L.K.Saul. Nonlinear dimensionality reduction by locally linear embedding. Science,
290, 2000.-This is the original LLE algorithm, the original reference is: STRoweis and LKSaul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290, 2000. Platform: |
Size: 1024 |
Author:treat |
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Description: This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction.
* PCA : classical Principal Componnent Analysis (linear projection).
* Nonlinear dimensionality reduction by locally linear embedding.
* Laplacian Eigenmaps for dimensionality reduction and data representation-This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction.
* PCA : classical Principal Componnent Analysis (linear projection).
* Nonlinear dimensionality reduction by locally linear embedding.
* Laplacian Eigenmaps for dimensionality reduction and data representation Platform: |
Size: 226304 |
Author:tra ba huy |
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Description: 基于多帧图像插值(Interpolation)技术的方法是SR恢复技术当中最直观
的方法。这类方法首先估计各帧图像之间的相对运动信息,获得HR图像在非均
匀间距采样点上的象素值,接着通过非均匀插值得到HR栅格上的象素值,最后
采用图像恢复技术来去除模糊和降低噪声(运动估计!非均匀插值!去模糊和
噪声)。-In this paper, we propose a novel method for solv-
ing single-image super-resolution problems. Given a
low-resolution image as input, we recover its high-
resolution counterpart using a set of training exam-
ples. While this formulation resembles other learning-
based methods for super-resolution, our method has
been inspired by recent manifold learning methods, par-
ticularly locally linear embedding (LLE). Speci?cally,
small image patches in the low- and high-resolution
images form manifolds with similar local geometry in
two distinct feature spaces. As in LLE, local geometry
is characterized by how a feature vector correspond-
ing to a patch can be reconstructed by its neighbors
in the feature space. Besides using the training image
pairs to estimate the high-resolution embedding, we
also enforce local compatibility and smoothness con-
straints between patches in the target high-resolution
image through overlapping. Experiments show that our
method is very ?exible Platform: |
Size: 27595776 |
Author:qianyeyu |
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Description: 局部线性嵌入LLE,是一种非常高效的非线性降维方法,本文PPT主要介绍了LLE算法的实现过程,同时分析了其参数的选择,和MATLAB的仿真实现-Locally linear embedding LLE, is a very efficient nonlinear dimensionality reduction method, this paper mainly introduced the PPT LLE algorithm realization process, and analyzes its parameter choice, and MATLAB simulation realization
Platform: |
Size: 2159616 |
Author:張昕 |
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Description: 这是我从网上下载到的Locally Linear Embedding(LLE)的Matlab代码,希望对研究Manifold Leanring的同事有所帮助-This is I downloaded from the Internet to the Locally Linear Embedding (LLE) of Matlab code, and hope to the study of Manifold Leanring colleagues help
Platform: |
Size: 1024 |
Author:xiaofeng |
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Description: 这是我从网上下载到的Locally Linear Embedding(LLE)的Matlab代码,希望对研究Manifold Leanring的同事有所帮助-
This is what I downloaded the Internet to the Locally Linear Embedding (LLE) Matlab code, I hope to study Manifold Leanring colleague helpful Platform: |
Size: 3072 |
Author:尹大鹏 |
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