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JPowerGraph is a Java library for creating directed graphs for SWT. It supports graph movement, selection, context menus, tooltips and dynamic edge creation. JPowerGraph has a spring layout algorithm based on that used in TouchGraph.
標簽： JPowerGraph for creating directed
上傳時間： 2013-12-18
上傳用戶：璇珠官人
unit Video interface uses Windows, Messages, SysUtils, Classes, Graphics, Controls, stdctrls, ExtCtrls, avicap, mmsystem, dsgnintf // Types for event-procedures type TCapStatusProc = procedure(Sender: TObject) of object TCapStatusCallback = procedure(Sender: TObject nID: integer status: string) of object TVideoStream = procedure(sender: TObject lpVhdr: PVIDEOHDR) of object TAudioStream = procedure(sender: TObject lpWHdr: PWAVEHDR) of object // Property Editor for driver selection type TDrivereditor = class(TPropertyEditor) function GetAttributes: TPropertyAttributes override procedure GetValues(Proc: TGetStrProc) override function GetValue: string override procedure SetValue(const Value: string) override end
標簽： interface Messages Graphics Controls
上傳時間： 2013-12-21
上傳用戶：heart520beat
Abstract: By using gateway systems on large 32-bit platforms, networks of small, 8- and 16-bit microcontrollers can be monitored and controlled over the Internet. With embedded Linux, these gateways are easily moved from full-blown host PCs to embedded platforms like the PC104. In this class you will learn about hardware platforms that support embedded Linux, Linux kernel configuration, feature selection, installation, booting and tuning.
標簽： bit platforms Abstract networks
上傳時間： 2014-01-05
上傳用戶：kytqcool
2.0.12 (May 13th, 2004) - Flag driver threads with PF_FREEZE to support software suspend. 2.0.11 (May 7th, 2004) - Avoid split-completion bugs in certain PCI-X chipsets by breaking up large completion entry DMAs on ADB boundaries. 2.0.10 (April 9th, 2004) - Return "command timeout" status instead of "selection timeout status" to the SCSI mid-layer in response to selection timeouts. While the latter may seem more correct, the mid-layer will not offline devices suffering from persistent selection timeouts. This leads to extremely long recovery times for devices that go missing. Returning command timeout status causes the mid-layer to enter recovery and eventually offline persistently missing devices.
標簽： PF_FREEZE software support suspend
上傳時間： 2016-01-05
上傳用戶：亞亞娟娟123
This gives examples of Session Description Protocol (SDP) offer/answer exchanges. Examples include codec negotiation and selection, hold and resume, and addition and deletion of media streams. The examples show multiple media types, bidirectional, unidirectional, inactive streams, and dynamic payload types. Common Third Party Call Control (3pcc) examples are also given.
標簽： Description exchanges Protocol Examples
上傳時間： 2014-01-02
上傳用戶：450976175
圖像處理，利用bilt 函數 Description: This example shows how to edit (cut,paste,copy) a selection of a bitmap using BitBlt function just like Microsoft Photo Editor does. It s really EASY! Take a look to the sample if you don t believe me and don t forget to VOTE FOR ME! Note: comments are in italian...i hadn t enough time to translate them all. Sorry..(VOTE!)
標簽： 圖像處理
上傳時間： 2013-12-18
上傳用戶：851197153
AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
標簽： efficient AdaBoost learning learners
上傳時間： 2013-12-06
上傳用戶：小寶愛考拉
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標簽： sequential reversible algorithm nstrates
上傳時間： 2014-01-18
上傳用戶：康郎
libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification. This document explains the use of libsvm.
標簽： classification easy-to-use regression and
上傳時間： 2013-12-18
上傳用戶：253189838
多目標遺傳算法程序 to run Demo files, is to run SGALAB_demo_*.m what s new: 1) Multiple-Objective GAs VEGA NSGA NPGA MOGA 2) More TSP mutation and Crossover methods PMX OX CX EAX Boolmatrix 3) More selection methods Truncation tornament stochastic 4) mutation methods binary single point int/real single point 5) encoding/decoding methods binary integer/real messy gray DNA permuation to fix the plot bugs for 4001 , download this file and replace old files.
標簽： Multiple-Objective SGALAB_demo run files
上傳時間： 2013-12-21
上傳用戶：mhp0114
