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Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures.

, , , , , and . Pattern Recognition, (2016)

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Human interaction recognition in the wild: Analyzing trajectory clustering from multiple-instance-learning perspective., , , and . ICME, page 1-6. IEEE Computer Society, (2015)The S-HOCK dataset: Analyzing crowds at the stadium., , , , , , and . CVPR, page 2039-2047. IEEE Computer Society, (2015)On automated Flow Cytometric analysis for MRD estimation of Acute Lymphoblastic Leukaemia: A comparison among different approaches., , and . BIBM, page 438-441. IEEE Computer Society, (2015)Curriculum Self-Paced Learning for Cross-Domain Object Detection., , , and . CoRR, (2019)Particles cross-influence for entity grouping., , , , and . EUSIPCO, page 1-5. IEEE, (2013)Real-life violent social interaction detection., , , and . ICIP, page 3456-3460. IEEE, (2015)The Role of Machine Learning in Medical Data Analysis. A Case Study: Flow Cytometry., , , , and . VISIGRAPP (3: VISAPP), page 305-312. SciTePress, (2016)Cut Quality Estimation in Industrial Laser Cutting Machines: A Machine Learning Approach., , , and . CVPR Workshops, page 0. Computer Vision Foundation / IEEE, (2019)Real Time Detection of Social Interactions in Surveillance Video., , and . ECCV Workshops (3), volume 7585 of Lecture Notes in Computer Science, page 111-120. Springer, (2012)Dual-Head Contrastive Domain Adaptation for Video Action Recognition., , , , , , and . WACV, page 2234-2243. IEEE, (2022)