feature
共 214 篇文章
feature 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 214 篇文章，持续更新中。
向ArcSDE添加Feature的例子程序
向ArcSDE添加Feature的例子程序
feature-selection-with-acquisition cost-for-optimizing-sensor-system-design.pdf
feature-selection-with-acquisition cost-for-optimizing-sensor-system-design.pdf
C写的ArcSDE连接添加Feature的类
C写的ArcSDE连接添加Feature的类
The problem of image registration subsumes a number of problems and techniques in multiframe image
The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
corresponden
The present document specifies the CAMEL Application Part (CAP) supporting the fourth phase of the n
The present document specifies the CAMEL Application Part (CAP) supporting the fourth phase of the network feature Customized Applications for Mobile network Enhanced Logic. CAP is based on a sub-set
CFlowchartEditor is an extension of CDiagramEditor. CDiagramEditor is a vector editor, with a CWnd-d
CFlowchartEditor is an extension of CDiagramEditor. CDiagramEditor is a vector editor, with a CWnd-derived window (CDiagramEditor), a data container (CDiagramEntityContainer) holding the draw-objects,
A general technique for the recovery of signi cant image features is presented. The technique is ba
A general technique for the recovery of signi cant
image features is presented. The technique is based on
the mean shift algorithm, a simple nonparametric pro-
cedure for estimating density gradien
来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。 This Toolbox provides a number of functions that are useful in co
来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。
This Toolbox provides a number of functions that are useful in computer vision,
machine vision and related areas. It is a somewhat eclectic collection reflecting
t
用C＃写的ArcSDE连接
用C＃写的ArcSDE连接，添加Feature的类
introduce led feature,state,technology
introduce led feature,state,technology
Workbench 2.5 风河的最新介绍
Workbench 2.5 风河的最新介绍，发布会上的东西，Vx5-to-Vx6-Kernel-To-RTP.ppt，WB2.5-Vx5-to-Vx6-Migration-Workshop.ppt，new-feature.ppt
net.sourceforge.jode.feature_1.0.3.zip是一种java混淆器jode,保护java类,
net.sourceforge.jode.feature_1.0.3.zip是一种java混淆器jode,保护java类,
This PNG Delphi version 1.56 documentation (this version is a major rewrite intended to replace the
This PNG Delphi version 1.56 documentation (this version is a major rewrite intended to replace the previous version, 1.2).
Improvements in this new version includes:
This new version allows the
W2kPrintDrvSample Feature ======= * Support two page directions, portrait and landscape * Sup
W2kPrintDrvSample
Feature
=======
* Support two page directions, portrait and landscape
* Support just one page size, A4
* Support two resolutions, 200 x 200 and 100 x 100 dpi
* Support two
ana modulation feature extraction
ana modulation feature extraction
The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statisti
The module LSQ is for unconstrained linear least-squares fitting. It is
based upon Applied Statistics algorithm AS 274 (see comments at the start
of the module). A planar-rotation algorithm is used
ABAQUS is a general purpose finite element analysis program which is widely used to analyses mechani
ABAQUS is a general purpose finite element analysis program which is widely used to analyses mechanical, structure and civil engineering problems. Abaqus has some special feature for analysing fractur
VIP专区-嵌入式/单片机编程源码精选合集系列（13）
<b>VIP专区-嵌入式/单片机编程源码精选合集系列（13）</b><font color="red">资源包含以下内容：</font><br/>1. CPMinterrupt 860中断管理.<br/>2. 菲利普LPC900系列写Flash源码.<br/>3. 前段时间做了一个AT91M55800的芯片测试.<br/>4. tms320c5402 bootloader.<br/>5. tms3
开发环境:Matlab 简要说明:自组织特征映射模型(Self-Organizing feature Map)
开发环境:Matlab 简要说明:自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。
LatentSVM论文
The object detector described below has been initially proposed by
P.F. Felzenszwalb in <a class="reference internal" href="http://www.opencv.org.cn/opencvdoc/2.3.2/html/modules/objdetect/doc/latent_s