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人工智能/神经网络 来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。 This Toolbox provides a number of functions that are useful in co
来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。
This Toolbox provides a number of functions that are useful in computer vision,
machine vision and related areas. It is a somewhat eclectic collection reflecting
the author s personal interest in areas of photometry, photogrammetry, colorimetry. It ...
matlab例程 A general technique for the recovery of signicant image features is presented. The technique is ba
A general technique for the recovery of signicant
image features is presented. The technique is based on
the mean shift algorithm, a simple nonparametric pro-
cedure for estimating density gradients. Drawbacks of
the current methods (including robust clustering) are
avoided. Feature space of any nat ...
人工智能/神经网络 基于libsvm
基于libsvm,开发的支持向量机图形界面(初级水平)应用程序,并提供了关于C和sigma的新的参数选择方法,使得SVM的使用更加简单直观.参考文章 Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine 可google之。
其他 Input The input contains blocks of 2 lines. The first line contains the number of sticks parts afte
Input
The input contains blocks of 2 lines. The first line contains the number of sticks parts after cutting, there are at most 64 sticks. The second line contains the lengths of those parts separated by the space. The last line of the file contains zero.
Output
The output should contains the small ...
数值算法/人工智能 The Rayleigh Integral Method is useful in computing the acoustic properties of a flat panel radiatin
The Rayleigh Integral Method is useful in computing the acoustic properties of a flat panel radiating into a half space.
Linux/Unix编程 celestia源代码
celestia源代码,Celestia, a real-time 3D space simulation featuring a database of over 100000 stars, nearly a hundred solar system, objects, and a complete catalog of extrasolar planets.
文件格式 In this article, we present an overview of methods for sequential simulation from posterior distribu
In this article, we present an overview of methods for sequential simulation from posterior distributions.
These methods are of particular interest in Bayesian filtering for discrete time dynamic models
that are typically nonlinear and non-Gaussian. A general importance sampling framework is develop ...
matlab例程 To estimate the input-output mapping with inputs x % and outputs y generated by the following nonli
To estimate the input-output mapping with inputs x
% and outputs y generated by the following nonlinear,
% nonstationary state space model:
% x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)]
% + 8cos(1.2t) + process noise
% y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3
% + time varying measur ...