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A strategy based on non-extensive statistics to improve frame-matching algorithms under large viewpoint changes.

, , , and . Signal Process. Image Commun., (2019)

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Statistical Learning Approaches for Discriminant Features Selection., , , , and . J. Braz. Comput. Soc., 14 (2): 7-22 (2008)Lattice Gas Cellular Automata for Computational Fluid Animation, , , and . CoRR, (2005)Implicit Dual Snakes for Medical Imaging., , and . EMBC, page 3025-3028. IEEE, (2006)A New Methodology Based on q-Entropy for Breast Lesion Classification in 3-D Ultrasound Images., , , , , and . EMBC, page 1048-1051. IEEE, (2006)CARES 3.0: A two stage system combining feature-based recognition and edge-based segmentation for CIMT measurement on a multi-institutional ultrasound database of 300 images., , , , , , , and . EMBC, page 5149-5152. IEEE, (2011)Gradient Vector Flow Models for Boundary Extraction in 2D Images., , and . Computer Graphics and Imaging, page 146-151. IASTED/ACTA Press, (2005)Using Tsallis entropy into a Bayesian network for CBIR., , and . ICIP (3), page 1028-1031. IEEE, (2005)A strategy based on non-extensive statistics to improve frame-matching algorithms under large viewpoint changes., , , and . Signal Process. Image Commun., (2019)Dimensionality Reduction, Classification and Reconstruction Problems in Statistical Learning Approaches., , , and . RITA, 15 (1): 137-169 (2008)Recent nature-Inspired algorithms for medical image segmentation based on tsallis statistics., , , and . Commun. Nonlinear Sci. Numer. Simul., (2020)