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人工智能/神经网络 neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object o
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 f ...
VC书籍 一本详细介绍vc object model 的书籍
一本详细介绍vc object model 的书籍,你书中的讲解十分的详细、全面
其他 无需摄像机标定的摄像机运动跟踪算法 Moving Object Detection Video Surveillance and its Applicationinand Monitoring
无需摄像机标定的摄像机运动跟踪算法
Moving Object Detection Video Surveillance and its Applicationinand Monitoring
技术管理 Video object matching across multiple independent views using local descriptors and adaptive learnin
Video object matching across multiple independent views using local descriptors and adaptive learning文章描述了多摄像机系统下的目标检测与跟踪,和自学习方法。很有参考价值。
其他数据库 列出数据库中所有的表名 获取access库中表的个数及表的名称 用ado怎样实现 工程--->引用--->Microsoft ActiveX Data Object 2.x(版本
列出数据库中所有的表名
获取access库中表的个数及表的名称
用ado怎样实现
工程--->引用--->Microsoft ActiveX Data Object 2.x(版本号)
VC书籍 Object-Oriented Programming with ANSI-C
Object-Oriented Programming with ANSI-C
文章/文档 (1)ICCV1999 Object Recognition from Local Scale-Invariant Features.pdf提出(2)IJCV2004 Distinctive imag
(1)ICCV1999 Object Recognition from Local Scale-Invariant Features.pdf提出(2)IJCV2004 Distinctive image features from scale invariant keypoints.pdf总结(3)CVPR2004 PCA-SIFT:A More Distinctive Representation for Local Image Descriptors.pdf加PCA降维
matlab例程 PASCAL Visual Object Classes
PASCAL Visual Object Classes,视觉识别竞赛的程序,共有20大类视觉目标。用MATLAB代码写成。能生成precision/recall图。
VC书籍 Object-Oriented Programming Implementation Issues of C++ Manipulating Data Object Persistence and
Object-Oriented Programming
Implementation Issues of C++
Manipulating Data
Object Persistence and Encryption
其他 This paper studies the problem of tracking a ballistic object in the reentry phase by processing ra
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 (erro ...