文件名称:4
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2015-08-27
- 文件大小：
- 6.31mb
- 下载次数：
- 0次
- 提 供 者：
- tan****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
关于人脸识别的最新论文和程序，欢迎大牛学习和指正。-face recognition
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Transfer learning
.................\sparse-cvpr13 (1).zip
.................\sparse-cvpr13.pdf
.................\sparse-cvpr13.zip
.................\Transfer Sparse Coding for Robust Image Representation.pdf
.................\分块自适应的多姿态人脸识别算法.pdf
.................\多姿态人脸识别.pdf
.................\sparse-cvpr13
.................\.............\CodeData
.................\.............\........\ml
.................\.............\........\..\constructW.m
.................\.............\........\..\EuDist2.m
.................\.............\........\..\graph.m
.................\.............\........\..\kernel.m
.................\.............\........\..\mySVD.m
.................\.............\........\..\NormalizeFea.m
.................\.............\........\..\PCA.m
.................\.............\........\..\stdv.m
.................\.............\........\liblinear
.................\.............\........\.........\COPYRIGHT
.................\.............\........\.........\heart_scale
.................\.............\........\.........\linear.cpp
.................\.............\........\.........\linear.def
.................\.............\........\.........\linear.h
.................\.............\........\.........\Makefile
.................\.............\........\.........\Makefile.win
.................\.............\........\.........\predict.c
.................\.............\........\.........\README
.................\.............\........\.........\train.c
.................\.............\........\.........\tron.cpp
.................\.............\........\.........\tron.h
.................\.............\........\.........\windows
.................\.............\........\.........\.......\liblinear.dll
.................\.............\........\.........\.......\libsvmread.mexw64
.................\.............\........\.........\.......\libsvmwrite.mexw64
.................\.............\........\.........\.......\predict.exe
.................\.............\........\.........\.......\predict.mexw64
.................\.............\........\.........\.......\train.exe
.................\.............\........\.........\.......\train.mexw64
.................\.............\........\.........\python
.................\.............\........\.........\......\liblinear.py
.................\.............\........\.........\......\liblinearutil.py
.................\.............\........\.........\......\Makefile
.................\.............\........\.........\......\README
.................\.............\........\.........\matlab
.................\.............\........\.........\......\libsvmread.c
.................\.............\........\.........\......\libsvmread.mexmaci64
.................\.............\........\.........\......\libsvmread.mexw32
.................\.............\........\.........\......\libsvmread.mexw64
.................\.............\........\.........\......\libsvmwrite.c
.................\.............\........\.........\......\libsvmwrite.mexmaci64
.................\.............\........\.........\......\libsvmwrite.mexw32
.................\.............\........\.........\......\libsvmwrite.mexw64
.................\.............\........\.........\......\linear_model_matlab.c
.................\.............\........\.........\......\linear_model_matlab.h
.................\.............\........\.........\......\make.m
.................\.............\........\.........\......\Makefile
.................\.............\........\.........\......\predict.c
.................\.............\........\.........\......\predict.mexmaci64
.................\.............\........\.........\......\predict.mexw64
.................\.............\........\.........\......\README
.................\.............\........\.........\......\run.m
.................\.............\........\.........\......\train.c
.................\.............\........\.........\......\train.mexmaci64
.................\.............\........\.........\......\train.mexw64
.................\.............\........\......