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This engaging session will feature four faculty members from one school who have incorporated a number of pedagogical and technological approaches into their courses to encourage creativity in their s...
GREAT Expectations stands for Group work, Reflection, Evaluation of self and peers, Application of course content to real-world problems and Testing (pre- and post-testing). It encompasses all of the ...
This presentation will illuminate why peer review and self-reflection are important in promoting academic success and student engagement in both online and face-to-face courses. It will showcase the e...
Faces are special objects of interest. Developing automated systems for detecting and recognizing faces is useful in a variety of application domains including providing aid to visually-impaired peopl...
Machine face recognition has traditionally been studied under the assumption of a carefully controlled image acquisition process. By controlling image acquisition, variation due to factors such as pos...
Appropriate representation is one of the keys to the success of face recognition technologies. In this paper, we present a novel face representation approach using a reduced set of local histograms ...
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning.Nevertheless, these approaches are always s...
Over the past ten years, face detection has been thoroughly studied in computer vision research for its interesting applications. However, all of the state-of-the-art statistical methods suffer from ...

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