资源列表
rerebbs-2.0
- 蝙蝠论坛系统是本站基于JSF2+Spring3+JPA2等JAVA技术构建的一个小型论坛系统，内置了无处不在的AJAX能力，简洁易用，功能涵盖版面管理、版主设置、发贴、回复、置顶、屏蔽、内部邮件等常用论坛功能，既可以作为非商业性的小型论坛应用，也可以作为学习JSF、Spring、JPA等技术的典型案例项目。-Bats forum system is based on a small forum system site JSF2+ Spring3+ JPA2 and other JAVA tech
COMSOL在岩石损伤过程的应用
- 岩石损伤与断裂力学一直是有限元的弱势领域，必须依赖MATLAB一类的数学软件协助，本书籍提供了基础教程与相关案例。(Rock damage and fracture mechanics have been the weak field of finite element, must rely on MATLAB class of mathematical software to help, this book provides basic tutorials and related cases.
MIRtoolbox1.0
- matlab实现音乐通用特征提取并进行音乐检索，共实现40种特征提取。-MIRtoolbox proposes a large set of musical feature extractors.MIRtoolbox includes around 40 audio and music features extractors and statistical descr iptors.
algorith(4th)
- 《算法》这本书对初学者来说很好，分享一下，给大家学习-the book of algorithm(4th)
DPM
- 行人检测的很好，现在很多数据库都用DPM做这个检测(Pedestrian detection is very good. Now many databases use DPM to do this detection.)
PSO-GA-S
- PSO与GA混合优化算法，可实现比单纯使用PSO或者GA算法更好的优化效果-PSO and GA hybrid optimization algorithm, can achieve more than a simple algorithm using PSO or GA optimization results better
垃圾短信分类
- 基于文本内容的垃圾短信识别,对数据进行了数据清洗,分词等,进行 了模型训练及评价(Based on the text content of spam short message recognition, data cleaning, segmentation, model training and evaluation are carried out)
QTDBL
- 心电图识别QRS波形。含有MATLAB源码及155个波形文件组成的CSE心电数据库。-QRS ECG waveform recognition. Contains MATLAB source code and files consisting of 155 waveforms CSE ECG database.
MLAPP
- 基于概率论的角度分析机器学习算法,适合人工智能、机器学习相关从业人员-Analysis of machine learning algorithms based on probability theory perspective
TextonBoost-Joint-Appearance--Shape-and-Context.r
- The paper investigates the problem of achieving automatic detection, recognition and segmentation of object classes in photographs . N amely, given an image the system is expected to automatically partiti on the image into semanticall
99
- 天语x90资料，这是天语原厂资料，有朋友需要的请下载。-Day language x90 information, which is day language original data, have a friend in need, please download.
PRML-reference
- 机器学习和模式识别经典书籍答案 官网下载 高清-Machine learning and pattern recognition classic books answer