Titlebook: Advances in Visual Computing; Third International George Bebis,Richard Boyle,Tom Malzbender Conference proceedings 2007 Springer-Verlag Be

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Image Classification from Small Sample, with Distance Learning and Feature Selectionhe purpose of distance learning, we describe a method for feature selection using equivalence constraints between pairs of datapoints. The method is based on .1 regularization and optimization. Feature selection is then incorporated into an existing non-parametric method for distance learning, which

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Comparison of Techniques for Mitigating the Effects of Illumination Variations on the Appearance of propose to improve colour invariance by using data-dependent techniques. To this aim, we compare the effectiveness of histogram stretching, illumination filtration, full histogram equalisation and controlled histogram equalisation in a video surveillance domain. All such techniques have limited comp

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A Vision-Based Architecture for Intent Recognition is particularly relevant for situations that involve collaboration among multiple agents or detection of situations that can pose a particular threat. We propose an approach that allows a physical robot to detect the intentions of others based on experience acquired through its own sensory-motor ab

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