文件列表:

Experiment.pdf (120768, 2015-10-13)
data (0, 2015-10-13)
result (0, 2015-10-13)
src (0, 2015-10-13)
src\common.py (1292, 2015-10-13)
src\joint_bayesian.py (5225, 2015-10-13)
src\test_lfw.py (1987, 2015-10-13)

# Joint-Bayesian. >According to the paper *"Bayesian Face Revisited: A Joint Formulation"*, the repository realizes the algorithm of Joint Beyesian with **Python** and achieve almost the same result as the paper. # Prepare for Using. >1. Get the database (lbp_WDRef,id_WDRef,lbp_lfw,pairlist_lfw) Download from the Websit: http://home.ustc.edu.cn/~chendong/JointBayesian/ >2. Install the numpy & scipy >3. Install the sklearn # Usage >cd src >python test_lfw.py # Performance see the [performance](https://github.com/cyh24/Joint-Bayesian/blob/master/Experiment.pdf). >My Blog: http://blog.csdn.net/cyh_24/article/details/49059475

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