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.
標簽： Programmer Networks entirely network
上傳時間： 2013-12-24
上傳用戶：liuchee
一本詳細介紹vc object model 的書籍，你書中的講解十分的詳細、全面
上傳時間： 2016-12-19
上傳用戶：ynzfm
無需攝像機標定的攝像機運動跟蹤算法 Moving Object Detection Video Surveillance and its Applicationinand Monitoring
標簽： Applicationinand Surveillance Monitoring Detection
上傳時間： 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系統下的目標檢測與跟蹤，和自學習方法。很有參考價值。
標簽： independent descriptors matching adaptive
上傳時間： 2014-01-18
上傳用戶：chongcongying
列出數據庫中所有的表名 獲取access庫中表的個數及表的名稱 用ado怎樣實現 工程--->引用--->Microsoft ActiveX Data Object 2.x（版本號）
標簽： Microsoft ActiveX access Object
上傳時間： 2016-12-30
上傳用戶：bakdesec
Object-Oriented Programming with ANSI-C
標簽： Object-Oriented Programming ANSI-C with
上傳時間： 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（3）CVPR2004 PCA-SIFT：A More Distinctive Representation for Local Image Descriptors.pdf加PCA降維
標簽： Scale-Invariant Distinctive Recognition Features
上傳時間： 2013-12-27
上傳用戶：yepeng139
PASCAL Visual Object Classes，視覺識別競賽的程序，共有20大類視覺目標。用MATLAB代碼寫成。能生成precision/recall圖。
標簽： Classes PASCAL Object Visual
上傳時間： 2014-01-11
上傳用戶：壞天使kk
Object-Oriented Programming Implementation Issues of C++ Manipulating Data Object Persistence and Encryption
標簽： Object-Oriented Implementation Manipulating Programming
上傳時間： 2017-01-14
上傳用戶：杜瑩12345
This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
標簽： processing ballistic the tracking
上傳時間： 2014-10-31
上傳用戶：yyyyyyyyyy
