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    • 1. 发明申请
    • KNOWLEDGE TRANSFER IN A PROJECT ENVIRONMENT
    • 项目环境中的知识转移
    • US20090187458A1
    • 2009-07-23
    • US12356619
    • 2009-01-21
    • Pyush Agrawal
    • Pyush Agrawal
    • G06Q10/00
    • G06Q10/063118G06Q10/10
    • Various techniques for effecting knowledge transfer are provided. In one embodiment, knowledge transfer tasks are identified through parsing of one or more repositories comprising project-related artifacts to ascertain tasks that are relevant to a transitioning project participant, and that may be further analyzed to determine whether knowledge transfer is necessary. In a similar vein, knowledge transfer recipients may be identified through similar parsing of the one or more repositories to identify project participants that are relevant to knowledge transfer tasks, with the resulting list of associated project participants narrowed down to selected knowledge transfer recipients according to their respective ability/availability to receive the knowledge transfer. Because these processes can be automated, including the use of an interactive interface, and based on stored artifacts, the subjectivity and variability of prior art techniques may be substantially reduced.
    • 提供了各种实现知识转移的技术。 在一个实施例中,通过解析包括项目相关工件的一个或多个仓库来识别知识转移任务,以确定与转移项目参与者相关的任务,并且可以进一步分析知识转移任务以确定是否需要知识转移。 类似地,知识转移接收者可以通过对一个或多个知识库的相似解析来识别,以识别与知识转移任务相关的项目参与者,所得到的相关项目参与者列表根据他们的选择知识转移接收者变窄 各自的能力/可用性接收知识转移。 由于这些过程可以自动化,包括使用交互式界面,并且基于存储的人造物,可以显着减少现有技术的主观性和可变性。
    • 2. 发明授权
    • Demographic classification using image components
    • 使用图像分量进行人口统计分类
    • US07505621B1
    • 2009-03-17
    • US10972316
    • 2004-10-22
    • Pyush AgrawalRajeev Sharma
    • Pyush AgrawalRajeev Sharma
    • G06K9/62G06K9/46G06K9/68
    • G06K9/00288G06K9/6288G06K2009/00322
    • The present invention includes a system and method for automatically extracting the demographic information from images. The system detects the face in an image, locates different components, extracts component features, and then classifies the components to identify the age, gender, or ethnicity of the person(s) in the image. Using components for demographic classification gives better results as compared to currently known techniques. Moreover, the described system and technique can be used to extract demographic information in more robust manner than currently known methods, in environments where high degree of variability in size, shape, color, texture, pose, and occlusion exists. This invention also performs classifier fusion using Data Level fusion and Multi-level classification for fusing results of various component demographic classifiers. Besides use as an automated data collection system wherein given the necessary facial information as the data, the demographic category of the person is determined automatically, the system could also be used for targeting of the advertisements, surveillance, human computer interaction, security enhancements, immersive computer games and improving user interfaces based on demographic information.
    • 本发明包括一种用于从图像中自动提取人口统计信息的系统和方法。 系统检测图像中的脸部,定位不同的部件,提取组件特征,然后对组件进行分类,以识别图像中的人的年龄,性别或种族。 与目前已知的技术相比,使用组件进行人口统计分类可获得更好的结果。 此外,在存在大小,形状,颜色,纹理,姿势和遮挡的高度变异性的环境中,所描述的系统和技术可以用于以比当前已知的方法更鲁棒的方式提取人口统计信息。 本发明还使用数据级融合和多级分类进行分类器融合,用于融合各种组分人口统计分类器的结果。 除了作为自动数据收集系统使用,其中给定必要的面部信息作为数据,人的人口统计类别被自动确定,该系统还可以用于广告,监视,人机交互,安全增强,沉浸式 电脑游戏,并根据人口信息改善用户界面。