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software_engineering
- 字典级的软件工程文档,内容涉及软件工程的各个概念,是你学习和研究软件工程的重要参考资料。-Dictionary-class software engineering documents, covering all the concept of software engineering, is that you study and research of software engineering, an important reference.
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- Usb版BT3用SPOONWPA研究学习WPA更换字典和握手包的方法图解-Usb version of BT3 with SPOONWPA dictionary and learning WPA handshake packet replacement means graphical
KSVD_Matlab_ToolBox
- 数字图像处理,K-SVD字典学习方法,信号的稀疏与冗余表示理论,图像压缩,图像去噪-Digital image processing, K-SVD dictionary learning methods, sparse and redundant signal representation theory, image compression, image denoising
KSVD-MOD
- KSVD和MOD字典学习稀疏表示程序代码-KSVD, and MOD dictionary learning sparse representation of program code
ERP_DB_structure
- 用友通数据库字典,供用友使用者学习和二开使用,也可以供ERP系统程序员学习大型ERP系统的数据库设计思路.-UF database dictionary for UF user learning and open use of large ERP system database design ideas for ERP systems programmers learning.
Analysis-KSVD-IEEE-TSP
- 稀疏字典学习的K-SVD法介绍的论文,是算法的理论基础。-Sparse Dictionary Learning K-SVD method presented papers, the theoretical basis of the algorithm.
PCA
- 针对稀疏表示识别方法需要大量样本训练过完备字典且特征冗余度较高的问题,提出了结合过完备字典学习与PCA降维的小样本语音情感识别算法.该方法首先用PCA降维方法将特征降维,再将处理后的特征用于过完备字典训练与稀疏表示识别方法,从而给出了语音情感特征的稀疏表示方法,并确定了新算法的具体步骤.为验证其有效性,在同等特征维数下,将方法与BP, SVM进行比较,并对比、分析语音情感特征稀疏化前后对语音情感识别率、时间效率以及空间效率的影响.试验结果表明,所提出方法的识别率比SVM与BP高 与采用稀疏化前的
The-latest-P2P-design-documents-(3)
- 《C/C++程序员实用大全》配套代码,是学习c编程的字典丛书,全面涵盖了c与c++的基础知识-"C/C++ utility Daquan programmers" complementary code, is to learn C programming dictionary series, which covers the basic knowledge of C and c++
cSharpdictionary-tree
- c#字典树的实现,学习数据结构的同学们可以-realization c# dictionary tree data structure learning students can look
Small-target-detection
- 利用字典学习找出图像中弱小目标,并进行背景抑制和去噪。-Learning to use a dictionary to find the image in dim target, and background suppression and noise removal.
canopen-object-of-a-dictionary
- canopen的对象字典的学习总结,关于对象字典如何构建的说明-The object of a dictionary
K-SVD
- ksvd字典学习的内容介绍,操作流程,与计算公式-Content ksvd dictionary learning introduction, operational processes, and formulas