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A decision forest based feature selection framework for action recognition from RGB-depth cameras.

, , , , and . SIU, page 1-4. IEEE, (2013)

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Active Learning for Segmentation Based on Bayesian Sample Queries., , , , and . CoRR, (2019)Learn the New, Keep the Old: Extending Pretrained Models with New Anatomy and Images., , and . MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 361-369. Springer, (2018)Active learning for segmentation based on Bayesian sample queries., , , , and . Knowl. Based Syst., (2021)Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker., , and . MCV/BAMBI@MICCAI, volume 10081 of Lecture Notes in Computer Science, page 83-93. Springer, (2016)Extending Pretrained Segmentation Networks with Additional Anatomical Structures., and . CoRR, (2018)Graphical Modeling of Ultrasound Propagation in Tissue for Automatic Bone Segmentation., , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 256-264. (2016)A Decision Forest Based Feature Selection Framework for Action Recognition from RGB-Depth Cameras., , , , and . ICIAR, volume 7950 of Lecture Notes in Computer Science, page 648-657. Springer, (2013)Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy., , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 183-191. Springer, (2018)A new test for comparing J independent groups by using one-step M-estimator and bootstrap-t., , and . Commun. Stat. Simul. Comput., 53 (7): 3221-3233 (July 2024)LP Methods for Fuzzy Regression and a New Approach., and . SMPS, volume 190 of Advances in Intelligent Systems and Computing, page 183-191. Springer, (2012)