// // Histogram Sample // This sample shows how to use the Sample Grabber filter for video image processing. // Conceptual background: // A histogram is just a frequency count of every pixel value in the image. // There are various well-known mathematical operations that you can perform on an image // using histograms, to enhance the image, etc. // Histogram stretch (aka automatic gain control): // Stretches the image histogram to fill the entire range of values. This is a "point operation," // meaning each pixel is scaled to a new value, without examining the neighboring pixels. The // histogram stretch does not actually require you to calculate the full histogram. The scaling factor // is calculated from the minimum and maximum values in the image.
标签： Sample Histogram Grabber sample
上传时间： 2013-12-15
上传用户：ryb
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： reversible algorithm the nstrates
上传时间： 2014-01-08
上传用户：cuibaigao
Implement the following integer methods: a) Method celsius returns the Celsius equivalent of a Fahrenheit calculation celsius = 5.0 / 9.0 * ( fahrenheit - 32 ) b) Method fahrenheit returns the Fahrenheit equivalent of a Celsius the calculation fahrenheit = 9.0 / 5.0 * celsius + 32 c) Use the methods from parts (a) and (b) to write an application either to enter a Fahrenheit temperature and display the Celsius or to enter a Celsius temperature and display the Fahrenheit equivalent.
标签： equivalent Implement the following
上传时间： 2014-01-19
上传用户：jackgao
IBM® Rational® Application Developer V6.0 is the full function Eclipse 3.0 based development platform for developing Java™ 2 Platform Standard Edition (J2SE) and Java 2 Platform Enterprise Edition (J2EE) applications with a focus on applications to be deployed to IBM WebSphere® Application Server and IBM WebSphere Portal. Rational Application Developer provides integrated development tools for all development roles, including Web developers, Java developers, business analysts, architects, and enterprise programmers. This IBM Redbook is a programming guide that highlights the features and tooling included with IBM Rational Application Developer V6.0. Many of the chapters provide working examples that demonstrate how to use the tooling to develop applications as well as achieve the benefits of visual and rapid Web development.
标签： Application development Developer reg
上传时间： 2013-12-16
上传用户：米卡
The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use only one of them, or changing some parameters in between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for inference. Use "help simulatedAnnealing" from Matlab.
标签： Matlab-interfaces inference interface the
上传时间： 2016-08-27
上传用户：gxrui1991
用vc实现Apriori算法的全部功能．请大家尽情心使用！-the algorithm can be used vc Apriori algorithm to achieve the full. Please rest assured use!
标签： algorithm Apriori the achieve
上传时间： 2013-12-20
上传用户：ynzfm
DevExpress.ExpressSideBar.v5.37.for.Delphi.BCB.Full.Source delphi和 bcb源码，能轻松实现outlook风格的侧边栏，效果很好，推荐！ ExpressSideBar is a VCL implementation of the MS Outlook bar. Designed to be easy to use and built with a significant feature set. Just drop it on a form, double click the control and in a few moments, you can customize the ExpressSideBar for your needs.
标签： ExpressSideBar DevExpress Delphi Source
上传时间： 2013-12-26
上传用户：han_zh
Abstract A new intelligent milometer base on a microcontroller can count the sum. By taking full use of the processor 89s51 and E² PROM (AT24C02) and sensor of magnetism, it can count the sum of fully distance and the course of development.
标签： microcontroller intelligent milometer Abstract
上传时间： 2016-10-12
上传用户：hoperingcong
The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
标签： illustrates elimination Gaussian pivoting
上传时间： 2016-11-09
上传用户：wang5829
The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
标签： illustrates elimination Gaussian pivoting
上传时间： 2014-01-21
上传用户：lxm
