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Low Latency Action Recognition with Depth Information.

, and . VISIGRAPP (4: VISAPP), page 590-596. SciTePress, (2016)

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Action recognition based on feature extraction from time series., and . SIU, page 485-488. IEEE, (2014)Consistency-based trust management in P2P networks., and . Turkish J. Electr. Eng. Comput. Sci., 26 (2): 631-643 (2018)Malignancy prediction by using characteristic-based fuzzy sets: A preliminary study., and . FUZZ-IEEE, page 1-6. IEEE, (2015)eFis: A Fuzzy Inference Method for Predicting Malignancy of Small Pulmonary Nodules., and . ICIAR (2), volume 8815 of Lecture Notes in Computer Science, page 255-262. Springer, (2014)Evolving a Trust Model for Peer-to-Peer Networks Using Genetic Programming., , and . EvoApplications, volume 8602 of Lecture Notes in Computer Science, page 3-14. Springer, (2014)Investigation of transfer learning on pulmonary nodule characteristics., , and . SIU, page 1-4. IEEE, (2017)Low Latency Action Recognition with Depth Information., and . VISIGRAPP (4: VISAPP), page 590-596. SciTePress, (2016)A Comparison of Feature Detectors and Descriptors in RGB-D SLAM Methods., and . ICIAR, volume 9164 of Lecture Notes in Computer Science, page 297-305. Springer, (2015)Automatic recognition of traffic signs., and . ISPA, page 361-366. IEEE, (2011)Action recognition with skeletal volume and deep learning., , and . SIU, page 1-4. IEEE, (2017)