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Cerebral energy metabolism after subarachnoid hemorrhage.
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Pose and illumination variations are the most dominating and persistent challenges haunting face recognition, leading to various highlycomplex 2D and 3D model based solutions. We present a novel transform vector quantization (TVQ) method which is fast and accurate and yet significantly less complex than conventional methods. TVQ offers a flexible and customizable way to capture the pose variati...
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Purpose: The current research focuses on selective dissemination of news and aims at finding patterns for recognition of readers’ favorite news through web mining technique. Method: Data for this research was collected from the Yahoo News Website. The source of news was Associated Press. 840 news dated between 2011/3/1 and 2011/5/10 was analyzed through subject clustering technique. Findings:...
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A fast coding algorithm for images using vector quantization (VQ) and pixelwise fractal approximation is proposed. The low frequency component of an input image is approximated and its residual is used to calculate the scaling factor of fractal transform. The scaling factor is compressed by transform VQ (TVQ). In the proposed method, lo encode a digital image by an iterated function system (IFS...
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