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c various algorithm source code, books with books in English source,
c++各种算法源代码，英文版书籍随书源码，-c various algorithm source code, books with books in English source,
- 2022-09-24 15:00:03下载
- 积分：1
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ram_dp_ar_aw.v 应该蛮有用的
ram_dp_ar_aw.v 应该蛮有用的-should be quite used ram_dp_ar_aw.v
- 2022-05-15 06:18:01下载
- 积分：1
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该源码可将tex表达式通过javaScript脚本转换为mathml
该源码可将tex表达式通过javaScript脚本转换为mathml-The source code can be tex expression through javaScript script into mathml
- 2022-03-01 14:55:33下载
- 积分：1
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PS图象处理软件推出的使用教程，有九章，很透彻
Photoshop教程介绍使用，共有九章，非常透彻
- 2022-02-01 04:30:33下载
- 积分：1
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程序实现的功能是在VGA显示器上显示彩色条纹，共8种颜色，
可以使用嵌入式逻辑分析仪观测信号...
程序实现的功能是在VGA显示器上显示彩色条纹，共8种颜色，
可以使用嵌入式逻辑分析仪观测信号-Realize the function of the procedure is displayed on the monitor in the VGA color stripes, a total of eight kinds of colors, you can use the embedded logic analyzer observation signal
- 2022-03-03 10:25:06下载
- 积分：1
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Java2入门经典applet源码，因全部的代码太大，故分开传
Java2入门经典applet源码，因全部的代码太大，故分开传-Java2 portal classic applet source code, the code for all the great, the separate-
- 2022-01-25 21:01:57下载
- 积分：1
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仪表放大器用于许多领域，从电动机控制到数据采集以及汽车系统。本书的目的是阐述什么是仪表放大器，它的工作原理怎样，如何使用它以及在何处使用它等基本问题。另外，本书...
仪表放大器用于许多领域，从电动机控制到数据采集以及汽车系统。本书的目的是阐述什么是仪表放大器，它的工作原理怎样，如何使用它以及在何处使用它等基本问题。另外，本书还介绍几种不同类型的仪表放大器。-Instrumentation amplifier used in many fields, from motor control to data acquisition and automotive systems. The purpose of this book is what is on the instrumentation amplifier, how does it work, how to use it and where to use it and other fundamental problems. In addition, this book also describes several different types of instrumentation amplifier.
- 2022-01-21 23:44:58下载
- 积分：1
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数据结构与算法课程”讲义及复习重点
名校不错的考研资料...
数据结构与算法课程”讲义及复习重点
名校不错的考研资料 -Data Structures and Algorithms Course
- 2022-03-22 16:19:51下载
- 积分：1
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2008 ACM World Final Problem Sets
2008 ACM World Final Problem Sets
- 2022-08-23 14:17:37下载
- 积分：1
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We have witnessed great interest and a wealth of promise in content
介绍基于内容图像识别的相关技术，他是检索技术的前沿，目前还处于初级阶段-We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging
technology. While the last decade laid foundation to such promise, it also paved the way for a large number
of new techniques and systems, got many new people involved, and triggered stronger association of weakly
related fields. In this article, we survey almost 300 key theoretical and empirical contributions in the current
decade related to image retrieval and automatic image annotation, and in the process discuss the spawning of
related subfields.We also discuss significant challenges involved in the adaptation of existing image retrieval
techniques to build systems that can be useful in the real world. In retrospect of what has been achieved so
far, we also conjecture what the future may hold for image retrieval research.
- 2022-03-04 03:26:04下载
- 积分：1
