ollydbg完全教程。OllyDbg 是一种具有可视化界面的 32 位汇编-分析调试器。它的特别之处在于可以在没有源代码时解决问题，并且可以处理其它编译器无法解决的难题。 一，什么是 OllyDbg？ 二，一般原理［General principles］ 三，反汇编器［Disassembler］ 四，分析器［Analysis］ 五，Object扫描器［Object scanner］ 六，Implib扫描器 ［Implib scanner］ 七，如何开始调试［How to start debugging session］ 八，CPU 窗口［CPU window］ 九，断点［Breakpoints］ 十，内存映射窗口［Memory map window］ 十一、十二，监视与监察器［Watches and inspectors］ 十三，线程［Threads］ 十四，复制到剪切板［Copy to clipboard］ 十五，调用栈［Call stack］ 十六，调用树［Call tree］ 十七，选项［Options］ 十八，搜索［Search］ 十九，自解压文件［Self-extracting (SFX) files］ 二十，单步执行与自动执行［Step-by-step execution and animation］ 二一，Hit跟踪［Hit trace］
上传时间： 2016-01-02
上传用户：xhz1993
Robotics TOOLBOX The Toolbox provides many functions that are useful in robotics including such things as kinematics, dynamics, and trajectory generation. The Toolbox is useful for simulation as well as analyzing results from experiments with real robots. Have fun with the toolbox. It is self-explanatory and very (robotics) user friendly...see the robot.pdf
标签： functions including Robotics provides
上传时间： 2014-12-06
上传用户：yyyyyyyyyy
TRAFFIC LIGHT CONTROLLER using C51 and RTX-51 tiny，This program is a simple Traffic Light Controller. Between start time and end time the system controls a traffic light with pedestrian self-service. Outside of this time range the yellow caution lamp is blinking.
标签： CONTROLLER TRAFFIC LIGHT using
上传时间： 2013-12-27
上传用户：123456wh
This program is a simple Traffic Light Controller. Between start time and end time the system controls a traffic light with pedestrian self-service. Outside of this time range the yellow caution lamp is blinking.
标签： time Controller Between program
上传时间： 2016-01-23
上传用户：iswlkje
Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.
标签： Hidden_Markov_model_for_automatic speech_recognition implements left-right
上传时间： 2016-01-23
上传用户：569342831
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
标签： meta-learning classifiers combining Boosting
上传时间： 2016-01-30
上传用户：songnanhua
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
标签： the decision clusters Cluster
上传时间： 2013-12-21
上传用户：gxmm
Title: File Transfer client and server Description: Send or recieve files of any size or type between you and a peer. Displays bytes sent or recieved, return values of send() and recv(), bitrate in KBytes/sec, and time remaining. SendFile and RecvFile functions can easily be added and used in your own code. I tested it ofcourse, a 73 mb self extracting rar archive from South Korea to Massachusetts at 96KB/s arrived fully operational.
标签： Description Transfer recieve client
上传时间： 2016-02-18
上传用户：13681659100
The market for miniature computer programming is exploding. C++ Footprint and Performance Optimization supplies programmers the knowledge they need to write code for the increasing number of hand-held devices, wearable computers, and intelligent appliances. This book gives readers valuable knowledge and programming techniques that are not currently part of traditional programming training. In the world of C++ programming, all other things being equal, programs that are smaller and faster are better. C++ Footprint and Performance Optimization contains case studies and sample code to give readers concrete examples and proven solutions to problems that don t have cut and paste solutions.
标签： Performance programming Optimizati Footprint
上传时间： 2013-12-09
上传用户：wfl_yy
This manual describes how to run the Matlab® Artificial Immune Systems tutorial presentation developed by Leandro de Castro and Fernando Von Zuben. The program files can be downloaded from the following FTP address: ftp://ftp.dca.fee.unicamp.br/pub/docs/vonzuben/lnunes/demo.zip The tour is self-guided and can be performed in any order. To run the presentation, first uncompress the zipped archive and store it in an appropriate directory. Run the Matlab® , enter the selected directory, and type “tutorial” in the prompt.
标签： presentation Artificial describes tutorial
上传时间： 2014-01-24
上传用户：qilin
