-
一本介绍GPS原理和内核算法的教程（
Matlab）
一本介绍GPS原理和内核算法的教程（
Matlab）-1 Introduction GPS principles and core algorithms tutorial (Matlab)
- 2023-07-14 04:55:05下载
- 积分：1
-
第三版C++入门，学习C++不错
c++primer第三版，学习c++的好电子书，希望对大家能够有所帮助。-c primer third edition, learning c good e-books, we hope to be able to help.
- 2023-04-08 05:50:03下载
- 积分：1
-
Linux操作系统及实验教程，超星格式
Linux操作系统及实验教程，超星格式-Linux operating systems and experimental directory format Superstar
- 2022-04-02 01:33:02下载
- 积分：1
-
sim300C 的AT命令集，对于进行短信开发的程序人员可以参考。
sim300C 的AT命令集，对于进行短信开发的程序人员可以参考。-sim300C the AT command set, the message to the development of staff can refer to the procedure.
- 2023-07-27 00:50:03下载
- 积分：1
-
ASP学习资料(HTML格式)
ASP学习资料(HTML格式)-ASP learning materials (HTML format)
- 2023-03-08 15:05:04下载
- 积分：1
-
linux newbie Administrator's Guide (Chinese version).
linux 新手管理员指南(中文版).-linux newbie Administrator"s Guide (Chinese version).
- 2023-08-06 14:00:04下载
- 积分：1
-
ata7主机和硬盘接口协议版本7。美国国家标准…
ata7 主机和硬盘接口协议版本7. 美国国家标准, 物理层协议到信号层协议-ata7 mainframe and hard disk interface protocol version 7. American National Standards, physical layer protocol to signal layer protocol
- 2022-02-02 11:26:03下载
- 积分：1
-
Book study the concept of data mining and technology. Data mining is the data an...
本书考察数据挖掘的概念和技术。数据挖掘是数据和信息系统及其应用的一个有希望的、欣欣向荣的学科前沿。数据挖掘通常又称为数据中的知识发现（KDD），是自动或方便地提取代表知识的模式；这些模式隐藏或记录在大型数据库、数据仓库、Web、其他大量信息库或数据流中。
-Book study the concept of data mining and technology. Data mining is the data and information systems and their applications a promising and flourishing frontier disciplines. Data mining are usually referred to as Knowledge Discovery in Data (KDD), is automatic or easy to extract the representative of the knowledge model these models hide or recorded in large databases, data warehouse, Web, other substantial information database or data stream.
- 2022-11-26 02:50:03下载
- 积分：1
-
SQLSERVER的学习教程
SQLSERVER的学习教程-SQLSERVER learning Guide
- 2022-07-21 01:09:02下载
- 积分：1
-
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
