feature

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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。

FACE SEGMENTATION AND FACIAL FEATURE TRACKING FOR VIDEOPHONE APPLICATIONS

FACE SEGMENTATION AND FACIAL FEATURE TRACKING FOR VIDEOPHONE APPLICATIONS

This is hands-down the best C++ book for anyone who really wants to use C++, it will take you throug

This is hands-down the best C++ book for anyone who really wants to use C++, it will take you through all of the features of the language and not only explain what each feature is for, but also why it

这是图像识别方法bag of feature 的matlab源代码

这是图像识别方法bag of feature 的matlab源代码

The AT24C512 provides 524,288 bits of serial electrically erasable and programmable read only memor

The AT24C512 provides 524,288 bits of serial electrically erasable and programmable read only memory (EEPROM) organized as 65,536 words of 8 bits each. The device鈥檚 cascadable feature allows up to f

KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker KLT: An Implementation of the

KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tra

The existence of numerous imaging modalities makes it possible to present different data present in

The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal im

Applet Name: navCube Applet Source: navCube.java Import(s): java.applet, java.awt, java.awt.imag

Applet Name: navCube Applet Source: navCube.java Import(s): java.applet, java.awt, java.awt.image, java.lang, java.net, java.util Feature(s): image, animation, network, mouse

cordic IC implement for fast cordic calculate. Including test bench. feature: 1. slicon proved.

cordic IC implement for fast cordic calculate. Including test bench. feature: 1. slicon proved. 2. support angle recored algorithm.

The XC226x derivatives are high-performance members of the Infineon XC2000 Family of full-feature s

The XC226x derivatives are high-performance members of the Infineon XC2000 Family of full-feature single-chip CMOS microcontrollers. These devices extend the functionality and performance of the C16

关于on-line boosting的gradient feature selection的介绍

关于on-line boosting的gradient feature selection的介绍

Feature Extraction of Infrared Target Based on Image Moment and Wavelet Energy

Feature Extraction of Infrared Target Based on Image Moment and Wavelet Energy

There a t least five Request for Enhancement s (RFE) in the JavaSoft bug database related to Mouse W

There a t least five Request for Enhancement s (RFE) in the JavaSoft bug database related to Mouse Wheel support in Java. One of the RFE s BugID #4202656 has 281 votes from developers requesting Sun f

自已写的Adaboost使用Haalike feature

自已写的Adaboost使用Haalike feature,去Detection

開平方根IP將sqroot_license.txt中的FEATURE 6AF8_0048 alterad 0000.00 permanent uncounted 4A689178551B VENDO

開平方根IP將sqroot_license.txt中的FEATURE 6AF8_0048 alterad 0000.00 permanent uncounted 4A689178551B VENDOR_STRING=gl15kdhm5gUPkJD7iM82mn$$ HOSTID=ANY加入就可以使用了!

极大值抑制与双阈值门限得到图像边缘: * nonmaxsuppts.m Code for performing non-maxima suppression and thresholding of

极大值抑制与双阈值门限得到图像边缘: * nonmaxsuppts.m Code for performing non-maxima suppression and thresholding of points generated by a feature/corner detector. It optionally returns sub-pixel feature locations.

透明音乐播放器

[开源 绿色软件] [运行环境 Windows XP/7/8/10] [语言 简体/繁體/English/Unicode]<br /> <br /> A cool music player. Powered by Bass and BassVis.<br /> 极简本地音乐播放器,透明、纯文本界面。支持轻媒体库、歌词、可视化。最小化到托盘,占用资源少,适合边听音乐边工作。<br /> <br />

tas3204

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16qam

<span style="font-family:宋体;line-height:normal;white-space:normal;background-color:#F0F8FF;">主要是实现调制识别,区分几种常用的数字调制信号,包括ASK,FSK,PSK,</span><span style="font-family:宋体;line-height:normal;white-space:nor

This Two-Category Classifier Using Discriminant Functions to separeate two classes. The Classifier

This Two-Category Classifier Using Discriminant Functions to separeate two classes. The Classifier is designed on classes which has two feature vectors and other case it has one feature vector.

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QUGR57KZZQXL530VXN2DANZQBJZGCGO6TW9JSWGUBUPN04SCX7UWNV34SCKPZNMBZOJWG1QRBA4X 42GWSVWJX8HWU6ZB6276OAM1VRKL5XR3TKID0A0ZEHGX5KRH4VE2KODDFIPCEA4X2VRQ0MLX55I5 1H3A40QYJBUT2QYEPP1M0YYDCKZLFBW5W5XAEXCP1WNM