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

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Integrative Geometric-Hashing Approaches to Binding Site Modeling and Ligand-Protein Interaction Preeins that do and do not bind a ligand, and propose enhancements that improve its robustness. We also introduce an alternative way of integrating geometric and biochemical properties of multiple binding mechanisms into a single representation.

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Conference proceedings 2007, Nevada/California. ISVC o?ers a common umbrella for the four main areas of visualcomputing including vision,graphics,visualization,andvirtualreality.Its goal is to provide a forum for researchers, scientists, engineers and practitioners throughout the world to present their latest research ?ndings

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Nonuniform Segment-Based Compression of Motion Capture Dataof the data. We propose a hierarchical coding method to further compress the cubic control points. We compare our method with wavelet compression methods, which have the best compression rates to date. Experiments show that our method, relative to this work, can achieve about a 65% higher compression rate at the same approximation level.

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Robust Classification of Strokes with SVM and Groupingthat capture important attributes of the shape and mutual relationship of strokes. These features are statistically well-behaved and enable robust classification with Support Vector Machines (SVM). We conclude by presenting a concrete implementation of these techniques in an interface for driving facial expressions.

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Automatic Subcortical Structure Segmentation Using Probabilistic Atlascedure to capture the structure of interest. Formulated under the maximum a posterior framework, probabilistic atlas for the structure of interest, e.g. caudate, putamen, can be seamlessly integrated into the level set evolution procedure, and no thresholding step is needed for capturing the target.

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