《LDAP详解-IBM Tivoli Directory Server从入门到精通》-陈宇翔.pdf )
2020-01-14 03:14:59 168.37MB LDAP Server
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LDAP是一种非关系型数据库,支持读取数据的速度远胜于老牌的mysql
2020-01-14 03:07:40 9.61MB LDAP
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fluent二维翼型仿真,流速2m/s,出口为压力出口,壁面为无滑移壁面,采用结构化网格,通过验证网格无关性,得出合适的网格数量,采用SIMPLC的求解方法,压力,转矩的耦合采用二级迎风,最终通过升力系数与阻力系数的监控,获得升力系数与阻力系数
2020-01-03 11:40:30 1.63MB 二维翼型
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JAVA ldap AD 域 免证书 查询 修改 删除 新增 启用 禁用 修改密码
2020-01-03 11:31:05 190KB JAVA ldap AD  免证书
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名称和目录服务的介绍,本书介绍个种应用广泛的名称和目录服务,相信很多弄SOA的人会从中得到很多有用的信息
2020-01-03 11:25:03 1.82MB 名称和目录服务
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搭建自己james服务器,并图文讲述james如何支持ldap server(openDS)
2020-01-03 11:20:29 414KB james openDS ldap
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cas服务器war包,用于搭建cas认证服务器,由于国内网的原因,下载老是超时,故此提供给各位码农
2019-12-30 03:01:41 115.53MB cas
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与论坛上的cas_peal的子集一样,只是将mat转化为了jpg图像,可以直接使用。
2019-12-21 22:11:01 4.54MB CAS_PEAL
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CAS Server 4.0二次开发说明文档, SSO
2019-12-21 22:10:23 719KB SSO CAS
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The CAS-PEAL face database has been constructed under the sponsors of National Hi-Tech Program and ISVISION by the Face Recognition Group of JDL, ICT, CAS. The goals to create the PEAL face database include: providing the worldwide researchers of FR community a large-scale Chinese face database for training and evaluating their algorithms; facilitating the development of FR by providing large-scale face images with different sources of variations, especially Pose, Expression, Accessories, and Lighting (PEAL); advancing the state-of-the-art face recognition technologies aiming at practical applications especially for the oriental. Currently, the CAS-PEAL face database contains 99,594 images of 1040 individuals (595 males and 445 females) with varying Pose, Expression, Accessory, and Lighting (PEAL). For each subject, 9 cameras spaced equally in a horizontal semicircular shelf are setup to simultaneously capture images across different poses in one shot. Each subject is also asked to look up and down to capture 18 images in another two shots. We also considered 5 kinds of expressions, 6 kinds accessories (3 glasses, and 3 caps), and 15 lighting directions. This face database is now partly made available (a subset named by CAS-PEAL-R1, contain 30,900 images of 1040 subjects) for research purpose only on a case-by-case basis only. JDL is serving as the technical agent for distribution of the database and reserves the copyright of all the images in the database.
2019-12-21 21:32:12 37B 中国人脸 数据集  dataset deeplearning
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