VC++動態鏈接庫編程之基礎慨念： Visual C++支持三種DLL，它們分別是Non-MFC DLL（非MFC動態庫）、MFC Regular DLL（MFC規則DLL）、MFC Extension DLL（MFC擴展DLL）
上傳時間： 2013-12-20
上傳用戶：ywqaxiwang
this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.
標簽： a.k.a. bootstrap implement particle
上傳時間： 2014-11-10
上傳用戶：caozhizhi
The program simulates a Nondeterministic Multitape Turing Machine. It works as ordinary (Deterministic) Turing Machine as well.
標簽： Nondeterministic Determinist Multitape simulates
上傳時間： 2014-09-07
上傳用戶：hebmuljb
Easy to use SMS/MMS Messaging Gateway to develop Content Delivery Platforms by GSM Operators,Content Providers and even non-telecom guys. Uses file system for data flow.Written for .NET 2.0 in C#
標簽： Content Messaging Platforms Operators
上傳時間： 2014-01-01
上傳用戶：1109003457
Math.NET開源數學庫 C#實現 具體功能: - A linear algebra package, see MathNet.Numerics.LinearAlgebra. - A sparse linear algebra package, see MathNet.Numerics.LinearAlgebra.Sparse. - Non-uniform random generators, see MathNet.Numerics.Generators. - Distribution fonctions, see MathNet.Numerics.Distributions. - Statistical accumulator, see MathNet.Numerics.Statistics. - Fourier transformations, see MathNet.Numerics.Transformations. - Miscellaneous utilies (polynomials, rationals, collections).
標簽： LinearAlgebra Numerics MathNet algebra
上傳時間： 2015-07-24
上傳用戶：思琦琦
OpenCV means Intel® Open Source Computer Vision Library. It is a collection of C functions and a few C++ classes that implement some popular Image Processing and Computer Vision algorithms. OpenCV has cross-platform middle-to-high level API that consists of a few hundreds (>300) C functions. It does not rely on external libraries, though it can use some when it is possible. OpenCV is free for both non-commercial and commercial use (see the license for details). OpenCV provides transparent interface to Intel® Integrated Performance Primitives (IPP). That is, it loads automatically IPP libraries optimized for specific processor at runtime, if they are available. More information about IPP can be retrieved at http://www.intel.com/software/products/ipp/index.htm -------------------------------------------------------------------------------- 本文是opencv的入門教程
標簽： collection functions Computer Library
上傳時間： 2015-09-12
上傳用戶：zhangyi99104144
Listed below are the typographical conventions used in this guide. – Example C++ code and commands to be typed by the user are in non-bold characters in typewriter font. – Items where the user has to supply a name or number are given in lower-case italic characters in typewriter font. – Sections marked with a ‡ describe features that are also available in ANSI C.
標簽： typographical conventions commands Example
上傳時間： 2013-12-20
上傳用戶：xiaoxiang
THIS PROGRAM IS PROVIDED "AS IS". TI MAKES NO WARRANTIES OR REPRESENTATIONS, EITHER EXPRESS, IMPLIED OR STATUTORY, INCLUDING ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, LACK OF VIRUSES, ACCURACY OR COMPLETENESS OF RESPONSES, RESULTS AND LACK OF NEGLIGENCE. TI DISCLAIMS ANY WARRANTY OF TITLE, QUIET ENJOYMENT, QUIET POSSESSION, AND NON-INFRINGEMENT OF ANY THIRD PARTY INTELLECTUAL PROPERTY RIGHTS WITH REGARD TO THE PROGRAM OR
標簽： REPRESENTATIONS WARRANTIES PROVIDED PROGRAM
上傳時間： 2015-09-16
上傳用戶：zq70996813
tServer task executes functions at low priority (254). serverSend funtion is used to send a request to the tServer to execute a function at the tServer s priority. First tServer task executes the i() system call to print the summary of tShell task. Next an address exception is caused in tServer task by trying to execute a funtion at non-aligned word boundry. As a result SIGBUS signal is raised automatically. Signals (setjmp() and longjmp()) are used to allow the tServer task to recover gracefully from an address error exception. For more information about signals, please refer to sigLib manual pages.
標簽： serverSend functions executes priority
上傳時間： 2015-09-21
上傳用戶：tianjinfan
Robustnesstochangesinilluminationconditionsaswellas viewing perspectives is an important requirement formany computer vision applications. One of the key fac-ors in enhancing the robustness of dynamic scene analy-sis that of accurate and reliable means for shadow de-ection. Shadowdetectioniscriticalforcorrectobjectde-ection in image sequences. Many algorithms have beenproposed in the literature that deal with shadows. How-ever,acomparativeevaluationoftheexistingapproachesisstill lacking. In this paper, the full range of problems un-derlyingtheshadowdetectionareidenti?edanddiscussed.Weclassifytheproposedsolutionstothisproblemusingaaxonomyoffourmainclasses, calleddeterministicmodeland non-model based and statistical parametric and non-parametric. Novelquantitative(detectionanddiscrimina-ionaccuracy)andqualitativemetrics(sceneandobjectin-dependence,?exibilitytoshadowsituationsandrobustnesso noise) are proposed to evaluate these classes of algo-rithms on a benchmark suite of indoor and outdoor videosequences.
標簽： Robustnesstochangesinillumination conditionsaswellas perspectives requirement
上傳時間： 2014-01-23
上傳用戶：whenfly
