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Addressing Scale and Density Challenges in LiDAR Point Classification.

, , , and . CCIA, volume 375 of Frontiers in Artificial Intelligence and Applications, page 124-127. IOS Press, (2023)

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A First Approach to Activity Recognition using Topic Models., , , and . CCIA, volume 202 of Frontiers in Artificial Intelligence and Applications, page 74-82. IOS Press, (2009)3×3 decomposition of circular structuring elements., and . ICIP (3), page 5-8. IEEE Computer Society, (1996)Time-based self-supervised learning for Wireless Capsule Endoscopy., , , , , and . Comput. Biol. Medicine, (2022)Feature Selection with Non-Parametric Mutual Information for Adaboost Learning., and . CCIA, volume 131 of Frontiers in Artificial Intelligence and Applications, page 131-138. IOS Press, (2005)Real-time object detection using an evolutionary boosting strategy., and . CCIA, volume 146 of Frontiers in Artificial Intelligence and Applications, page 9-18. IOS Press, (2006)Texture Classification Using Neural Networks and Local Granulometries., , , and . ISMM, volume 2 of Computational Imaging and Vision, page 309-316. Kluwer, (1994)Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy., , , , , , and . IEEE Trans. Information Technology in Biomedicine, 16 (6): 1341-1352 (2012)WCE Polyp Detection with Triplet based Embeddings., , , , , and . CoRR, (2019)Learning to learn: From smart machines to intelligent machines., and . Pattern Recognit. Lett., 29 (8): 1024-1032 (2008)Sketchable Histograms of Oriented Gradients for Object Detection., , and . CIARP, volume 7441 of Lecture Notes in Computer Science, page 374-381. Springer, (2012)