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Clustering Positive Definite Matrices by Learning Information Divergences., , , and . ICCV Workshops, page 1304-1312. IEEE Computer Society, (2017)Evaluation of feature descriptors for cancerous tissue recognition., , , , , and . ICPR, page 1490-1495. IEEE, (2016)Image Descriptors for Weakly Annotated Histopathological Breast Cancer Data., , , , , and . Frontiers Digit. Health, (2020)Active convolutional neural networks for cancerous tissue recognition., , , , and . ICIP, page 1367-1371. IEEE, (2017)Learning Log-Determinant Divergences for Positive Definite Matrices., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (9): 5088-5102 (2022)Learning Log-Determinant Divergences for Positive Definite Matrices., , , , , and . CoRR, (2021)Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)., , , , and . CoRR, (2017)Learning Discriminative αβ-Divergences for Positive Definite Matrices., , , , and . ICCV, page 4280-4289. IEEE Computer Society, (2017)Automation solutions for the evaluation of plant health in corn fields., , , , , , , and . IROS, page 6521-6527. IEEE, (2015)Active Constrained Clustering via non-iterative uncertainty sampling., , , and . IROS, page 4027-4033. IEEE, (2016)