second_pid

The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.

线性鉴别分析方法，数据降维，图像处理，模式识别(LDA)

采用matlab编程语言，主要功能用于读取grd文件。(read grd document)

该代码matlab所编写，实现稀疏流形子空间嵌入，可直接运行，对稀疏编码的相关学习有帮肋(The code is written matlab realize sparse subspace manifold embedding, can be run directly on the sparse coding related learning help rib)

包含特征值与特征向量的提取、训练样本以及最后的识别，本程序的性能已经达到较高水平，可以实现模式识别领域的数据的分类及回归。( Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, The performance of the program has reached a high level, You can achieve data classification and regression pattern recognition.)

说明：  高斯过程回归单模型 基于主成分子模型融合PCS-GPR 图像分析找不同 支持向量机回归建模 人工神经网络(Gaussian process regression single model fusion based on principal component synthesis PCS-GPR image analysis to find different support vector machine regression modeling artificial neural network)

灰色预测，用于已知几年的数据对港口吞吐量的预测(Grey Prediction，Forecasts for port throughput)

matlab解决tsp问题,穷举法,不错的(matlab tsp, that is good)

this program is implementation of TOPSIS algorithm

太阳黑子是人类长久以来感兴趣的问题。此处运用matlab代码对太阳黑子的记录的数据进行处理，希望能提供帮助( Using archival records,astronomers have applied Wolfer s rule to determine sunspot activity back to the year 1700. Today the sunspot index is measured by many astronomers and the worldwide distribution of the data is coordinated by the Solar Influences Data Center at the Royal Observatory of Belgium. The text file sunspot.dat in the matlab/demos directory has two columns of numbers. The first column is the years from 1700 to 1987 and the second column is the average Wolfer sunspot number for each year.)