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Titlebook: Computational Modeling of Objects Represented in Images; Second International Reneta P. Barneva,Valentin E. Brimkov,João Manuel Conference

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https://doi.org/10.1007/978-94-015-7918-6cognition rate, we divide a face into patches and perform recognition using multiple classifiers, whose weights are estimated by a Memetic Algorithm. Our method is tested thoroughly on the FERET dataset and achieves promising results.
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Surface-Based Imaging Methods for High-Resolution Functional Magnetic Resonance Imagingface. These surfaces provide vertex positions and surface normals, vector references for depth calculations. That information enables averaging schemes that can increase contrast-to-noise ratio, as well as permitting the direct analysis of depth profiles of functional activity in the human brain.
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Customizable Visualization on Demand for Hierarchically Organized Information in Biochemical Networkhe challenge of visualizing manifold and extensive data within large biochemical network diagrams. This issue is effectively addressed by the interactive Visualization on Demand (VoD) approach for hierarchically structured network diagrams presented in this contribution.
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Sulfur in biotic interactions of plants,ating a study on digital stars. This is particularly motivated by possible applications in computer vision. We derive several basic properties of digital stars and consider relations between digital starshapedness, continuous starshapedness, and digital convexity.
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Selenium and its relationship with sulfur,on of arcs of ellipses. The corresponding algorithms are completely constructive and thus, can be exactly translated into functional computer programs. Moreover, we give a global condition for the connectivity of the discrete curves generated by the method at every scale.
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Anna W. Sromek,Vladimir GevorgyanIts defining property is to be local and to follow a normal law on discrete lines of any slope. We used it together with classical differentiation masks to estimate first and second derivatives and give a curvature estimator of discrete functions.
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https://doi.org/10.1007/978-3-540-68100-7ts of rules. We compare the generative power of . with . and .. We propose theoretical models of .-system, called tile pasting .-system, with active membranes (. − .) and tissue-like evolution communication tile pasting . system (. − .) to generate tiling patterns made of polygon tiles and compare the generative power of . with . − . and . − ..
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