搜索资源列表
cPPVariable-Metric-Algorithm
- 本文为变尺度法C++源码，对于学习算法研究的人有很大帮助-This article for variable metric method C++ source, for learning algorithm research has very great help
lsc-code
- metric learning using this for manifol learning
Demo
- 如何获得系统的度量信息，VC++精选编程学习源码，很好的参考资料。-How to obtain the metric system information, VC++ select learning programming source code, a good reference.
metric-learning
- metric learning计算权重的一个实例，文件数据需要替换-metric learning
offline-signature-recognition
- As signatures are widely accepted bio-metric for authentication and identification of a person because every person has a distinct signature with its specific behavioral property, so it is very much necessary to prove the authenticity of signature
XQDA
- 用于度量学习，可以用于特征分类，最常应用于行人重识别的研究过程(For metric learning, it can be used in feature classification, and is most often used in the research process of pedestrian re identification)
ldml
- 本代码为经典的度量学习算法LDML源码，可用，已调，无错误。(This code is the classic metric learning algorithm LDML source code, available, has been adjusted.)
itml
- 本压缩包是经典的度量学习方法ITML的源代码，里面包含所需要的所有子函数。亲测无误。(The compression package is the classic metric learning method ITML source code, which contains all the required functions. there is no error.)
KML
- 本压缩包包含几何度量平均度量学习方法代码的核化版本，内含所有子函数。(This package contains the geometric measure of nuclear version average metric learning method code, containing all the functions.)
LMNN
- 本压缩包包含经典的度量学习算法LMNN的代码源码，含windows系统和linux系统的所有代码。包含所有子函数。(The compression package contains the classic metric learning algorithm LMNN code source code, including windows system and all the code Linux system. Contains all sub functions.)
LOMO_XQDA
- Person Re-identification by Local Maximal Occurrence Representation and Metric Learning 论文代码(Person Re-identification by Local Maximal Occurrence Representation and Metric Learning)