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Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning.

, , , and . Handbook of Pattern Recognition and Computer Vision, World Scientific, (2016)

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Data clustering as an optimum-path forest problem with applications in image analysis., , and . Int. J. Imaging Systems and Technology, 19 (2): 50-68 (2009)The Residual Center of Mass: An Image Descriptor for the Diagnosis of Alzheimer Disease., , and . Neuroinformatics, 17 (2): 307-321 (2019)A Divide-and-Conquer Clustering Approach Based on Optimum-Path Forest., and . SIBGRAPI, page 416-423. IEEE Computer Society, (2018)Superpixel Segmentation by Object-Based Iterative Spanning Forest., , and . CIARP, volume 11401 of Lecture Notes in Computer Science, page 334-341. Springer, (2018)A computational method to aid the detection and annotation of pleural lesions in CT images of the thorax., , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490Z. SPIE, (2019)An Approach to Iris Contact Lens Detection Based on Deep Image Representations., , , , , and . SIBGRAPI, page 157-164. IEEE Computer Society, (2015)Delaunay Triangulation Data Augmentation Guided by Visual Analytics for Deep Learning., , , and . SIBGRAPI, page 384-391. IEEE Computer Society, (2018)FOMTrace: Interactive Video Segmentation By Image Graphs and Fuzzy Object Models., and . CoRR, (2016)The 2013 face recognition evaluation in mobile environment., , , , , , , , , and 18 other author(s). ICB, page 1-7. IEEE, (2013)Corrigendum to 'Segmentation of sandstone thin section images with separation of touching grains using optimum path forest operators' Computers & Geosciences (2013) 146-157., , , and . Computers & Geosciences, (2014)