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Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification.

, , , and . IEEE Access, (2019)

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Multiresolution Mesh Segmentation of MRI Brain Using Classification and Discrete Curvature., , and . VISAPP (1), page 421-426. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2008)Web Service Intrusion Detection Using a Probabilistic Framework., , and . ICSEng, volume 366 of Advances in Intelligent Systems and Computing, page 161-166. Springer, (2014)Automatic MRI Brain Segmentation with Combined Atlas-Based Classification and Level-Set Approach., , and . ICIAR, volume 5112 of Lecture Notes in Computer Science, page 770-778. Springer, (2008)Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification., , , and . IEEE Access, (2019)Hybrid Statistical Framework for Diabetic Retinopathy Detection., , and . ICIAR, volume 10882 of Lecture Notes in Computer Science, page 687-694. Springer, (2018)An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems., , , , , , , , , and . Expert Syst. Appl., 213 (Part): 119041 (2023)Recent Advances in Statistical Mixture Models: Challenges and Applications.. ICPRAM, page 312-319. SCITEPRESS, (2023)Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation., , , and . ICISP, volume 10884 of Lecture Notes in Computer Science, page 36-44. Springer, (2018)Bayesian learning of finite generalized inverted Dirichlet mixtures: Application to object classification and forgery detection., , and . Expert Syst. Appl., 41 (5): 2329-2336 (2014)Efficient Statistical Learning Framework with Applications to Human Activity and Facial Expression Recognition., , , , , , and . ATSIP, page 1-6. IEEE, (2020)