本書全面的詳細(xì)的講解了Axtivex Data OBJECT的基本流程和用法，書中包括具體的示例代碼。
標(biāo)簽： Axtivex OBJECT Data 基本流程
上傳時(shí)間： 2014-01-09
上傳用戶：luopoguixiong
Inside the C++ OBJECT Model Inside the C++ OBJECT Model focuses on the underlying mechanisms that support OBJECT-oriented programming within C++: constructor semantics, temporary generation, support for encapsulation, inheritance, and "the virtuals"-virtual functions and virtual inheritance. This book shows how your understanding the underlying implementation models can help you code more efficiently and with greater confidence. Lippman dispells the misinformation and myths about the overhead and complexity associated with C++, while pointing out areas in which costs and trade offs, sometimes hidden, do exist. He then explains how the various implementation models arose, points out areas in which they are likely to evolve, and why they are what they are. He covers the semantic implications of the C++ OBJECT model and how that model affects your programs.
標(biāo)簽： Inside OBJECT the Model
上傳時(shí)間： 2013-12-24
上傳用戶：zhouli
AMOP 0.3 is an Automatic Mock OBJECT for C++. By using ABI and template techniques, it can simulate a pseudo-"Reflection" which is normally not support in C++ . The main differences between AMOP and other mock OBJECT library is that, users DO NOT need to implement the interface of the OBJECT which to mock...
標(biāo)簽： techniques Automatic template simulate
上傳時(shí)間： 2013-12-31
上傳用戶：rocwangdp
neural network utility is a Neural Networks library for the C++ Programmer. It is entirely OBJECT oriented and focuses on reducing tedious and confusing problems of programming neural networks. By this I mean that network layers are easily defined. An entire multi-layer network can be created in a few lines, and trained with two functions. Layers can be connected to one another easily and painlessly.
標(biāo)簽： Programmer Networks entirely network
上傳時(shí)間： 2013-12-24
上傳用戶：liuchee
一本詳細(xì)介紹vc OBJECT model 的書籍，你書中的講解十分的詳細(xì)、全面
標(biāo)簽： OBJECT model 詳細(xì)介紹 書籍
上傳時(shí)間： 2016-12-19
上傳用戶：ynzfm
無(wú)需攝像機(jī)標(biāo)定的攝像機(jī)運(yùn)動(dòng)跟蹤算法 Moving OBJECT Detection Video Surveillance and its Applicationinand Monitoring
標(biāo)簽： Applicationinand Surveillance Monitoring Detection
上傳時(shí)間： 2014-11-28
上傳用戶：tianjinfan
Video OBJECT matching across multiple independent views using local descriptors and adaptive learning文章描述了多攝像機(jī)系統(tǒng)下的目標(biāo)檢測(cè)與跟蹤，和自學(xué)習(xí)方法。很有參考價(jià)值。
標(biāo)簽： independent descriptors matching adaptive
上傳時(shí)間： 2014-01-18
上傳用戶：chongcongying
列出數(shù)據(jù)庫(kù)中所有的表名 獲取access庫(kù)中表的個(gè)數(shù)及表的名稱 用ado怎樣實(shí)現(xiàn) 工程--->引用--->Microsoft ActiveX Data OBJECT 2.x（版本號(hào)）
標(biāo)簽： Microsoft ActiveX access OBJECT
上傳時(shí)間： 2016-12-30
上傳用戶：bakdesec
OBJECT-Oriented Programming with ANSI-C
標(biāo)簽： OBJECT-Oriented Programming ANSI-C with
上傳時(shí)間： 2017-01-04
上傳用戶：3到15
（1）ICCV1999 OBJECT Recognition from Local Scale-Invariant Features.pdf提出（2）IJCV2004 Distinctive image features from scale invariant keypoints.pdf總結(jié)（3）CVPR2004 PCA-SIFT：A More Distinctive Representation for Local Image Descriptors.pdf加PCA降維
標(biāo)簽： Scale-Invariant Distinctive Recognition Features
上傳時(shí)間： 2013-12-27
上傳用戶：yepeng139
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