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Information Theory in Computer Vision and Pattern Recognition
Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, …
Energy Minimization Methods in Computer Vision and Pattern Recognition
This volume consists of the 42 papers presented at the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recog- tion (EMMCVPR 2005), which was …
Statistical and Geometrical Approaches to Visual Motion Analysis
Motion analysis is central to both human and machine vision. It involves the interpretation of image data over time and is crucial for a range of motion tasks …
Energy Minimization Methods in Computer Vision and Pattern Recognition
This volume contains the papers presented at the Sixth International Conference on Energy Minimization Methods on Computer Vision and Pattern Recognition (EMMCVPR 2007), held at …
Data Fusion for Sensory Information Processing Systems
The science associated with the development of artificial sen sory systems is occupied primarily with determining how information about the world can be extracted from sensory …