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Face detection algorithm based on a cascade of ensembles of decision trees (CEDT) is presented. The new approach allows detecting faces other than the front position through the use of multiple classi...
This paper addresses the problem of producing very compact representation of a face image for large-scale face search and analysis tasks. In tradition, the compactness of face rep-resentation is achie...
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...
This poster showcases how the presenters incorporate a variety of technologies, media and interactive elements to provide multimodal learning opportunities and enhance student engagement in both face-...
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...
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension. It has been used widely in many applications involving high-dimensional data, such as face recognition, ...
In previous works of face recognition, similarity betweenfaces is measured by comparing corresponding face regions. That is to say, matching eyes with eyes and mouths withmouths etc.. In this paper, w...
In this paper, a novel Sparsely Encoded Local Descriptor (SELD) is proposed for face recognition. Compared with K-means or Random-projection tree based previous methods, sparsity constraint is introdu...
In addressing side information based face recognition scenario, a new Margin Emphasized Metric Learning (MEML) method is proposed. As an improvement of previous metric learning, MEML defines a new obj...
Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition from Single Sample per...
This paper proposes a novel face recognitionalgorithm inspired by the selective attention of Human VisualSystem (HVS). We record four observers’ eye movements whenthey are viewing 100 FRGC [1] frontal...
This paper presents an integrated face image fusion framework, which combines a hierarchical compositionalparadigm with seamless image-editing techniques, for gender conversion. In our framework a hig...

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