This algorithm was developed by Professor Ronald L. Rivest of MIT and can be found presented in several languages. What I provide to you here is a C++ derivative of the original C implementation of Professor Rivets. The library code itself is platform-independant and has been tested in Redhat Linux. I ve included the sample code and makefile that I used for the Linux test. The demo, however, was written with Visual C++ 6 on a Windows 2000 platform.
標簽： L. Professor algorithm developed
上傳時間： 2014-12-21
上傳用戶：gonuiln
This companion disc contains the source code for the sample programs presented in INSIDE VISUAL C++ 5.0, as well as pre- compiled copies of the programs. To copy all of the sample code onto your hard disk, run the SETUP.EXE program and follow the instructions that appear on the screen. The sample code requires about 10 MB of hard disk space.
標簽： companion the presented contains
上傳時間： 2015-05-09
上傳用戶：mhp0114
A method is presented for augmenting an extended Kalman filter with an adaptive element. The resulting estimator provides robustness to parameter uncertainty and unmodeled dynamics.
標簽： augmenting presented adaptive extended
上傳時間： 2014-01-05
上傳用戶：qq1604324866
This companion disc contains the source code for the sample programs presented in INSIDE VISUAL C++ 5.0, as well as pre- compiled copies of the programs.
標簽： companion the presented contains
上傳時間： 2013-12-28
上傳用戶：windwolf2000
A general technique for the recovery of signi cant 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 nature can be processed, and as an example, color image segmentation is dis- cussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro- vide, by extracting all the signi cant colors, a prepro- cessor for content-based query systems. A 512 512 color image is analyzed in less than 10 seconds on a standard workstation. Gray level images are handled as color images having only the lightness coordinate
標簽： technique presented features recovery
上傳時間： 2015-10-14
上傳用戶：410805624
Image_Filter_An_Image_halftone is performed over data loaded into the on board RAM and presented on a VGA monitor
標簽： Image_Filter_An_Image_halftone performed presented loaded
上傳時間： 2015-10-27
上傳用戶：cc1915
winsocket 開發指南,Java sockets 101 presented by developerWorks, your source for great tutorials
標簽： developerWorks winsocket presented tutorials
上傳時間： 2013-12-22
上傳用戶：ryb
Code to run the Non-negative Matrix Factorization algorithm as presented in the Lee, Seung 1999 Nature paper.
標簽： Factorization Non-negative algorithm presented
上傳時間： 2016-01-19
上傳用戶：litianchu
The tool presented below tries to detect from remote if the target machine was compromised with the HACKER Defender rootkit. The tool connect to the remote host, and compares the reply to several known replies. The rootkits that can be detected by the tool are: HACKER Defender v1.0.0 and below.
標簽： compromised presented the machine
上傳時間： 2016-02-21
上傳用戶：gundan
This file contains the material presented as the first Embedded MATLAB webinar on the MathWorks web site on September 13, 2007. It contains the PDF version of presentation slides and all necessary demonstration files (including MATLAB M-files and Simulink models).
標簽： the MathWorks presented Embedded
上傳時間： 2016-03-07
上傳用戶：66666
