Abstract: 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.

Abstract: 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.