Suchergebnisse

Konferenz

Konferenz

Konferenz

Konferenz

Konferenz

Konferenz

In: 27th International Conference on Inductive Logic Programming ; https://hal.science/hal-01655644 ; 27th International Conference on Inductive Logic Programming, LNCS, volume 10759, Springer, Cham, pp.124-139, 2018, Inductive Logic Programming, ⟨10.1007/978-3-319-78090-0_9⟩ ; https://ilp2017.sciencesconf.org/; (2018)

Online Buch

Konferenz

In: International Conference on Computational Science, 2022

Konferenz

In: instname:Universidad Autónoma de Occidente ; reponame:Repositorio Institucional UAO ; Kale, G.V., Patil, V.H.: A study of vision based human motion recognition and analysis. IJACI 7(2), 75–92 (2016) ; Mandery, C., Plappert, M., Sol, J.B., Asfour, T.: Dimensionality reduction for whole-body human motion recognition. In: 19th International Conference on Information Fusion, FUSION, Heidelberg, Germany, 5–8 July 2016, pp. 355–362 (2016) ; Althloothi, S., Mahoor, M.H., Zhang, X., Voyles, R.M.: Human activity recognition using multi-features and multiple kernel learning. Pattern Recogn. 47(5), 1800–1812 (2014) ; Li, M., Leung, H., Liu, Z., Zhou, L.: 3D human motion retrieval using graph kernels based on adaptive graph construction. Comput. Graph. Pergamon 54, 104–112 (2016) ; Wang, L., Zhao, G., Cheng, L., Pietikainen, M.: Machine Learning for Vision-Based Motion Analysis, 1st edn. Springer, Heidelberg (2011) ; Wei, X.K., Chai, J.: Modeling 3D human poses from uncalibrated monocular images. In: IEEE 12th International Conference on Computer Vision, ICCV, Kyoto, Japan, 27 September–4 October 2009, pp. 1873–1880 (2009) ; Li, W., Zhang, Z., Liu, Z.: Action recognition based on a bag of 3D points. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR Workshopps 2010, San Francisco, CA, USA, 13–18 June 2010, pp. 9–14 (2010) ; Ravet, T., Tilmanne, J., d’Alessandro, N.: Hidden Markov model based real-time motion recognition and following. In: Proceedings of the 2014 International Workshop on Movement, Computing, MOCO 2014, pp. 82–87. ACM, New York (2014) ; Jiang, Y., Saxena, A.: Modeling high-dimensional humans for activity anticipation using Gaussian process latent CRFs. In: Robotics: Science and Systems X, University of California, Berkeley, USA, 12–16 July 2014 (2014) ; García-Vega, S., Álvarez-Meza, A.M., Castellanos-Domínguez, C.G.: MoCap data segmentation and classification using kernel based multi-channel analysis. In: Ruiz-Shulcloper, J., Sanniti di Baja, G. (eds.) CIARP 2013. LNCS, vol. 8259, pp. 495–502. Springer, Heidelberg (2013). doi:10.1007/978-3-642-41827-3_62 ; Pulgarin-Giraldo, J.D., Alvarez-Meza, A.M., Melo-Betancourt, L.G., Ramos-Bermudez, S., Castellanos-Dominguez, G.: A similarity indicator for differentiating kinematic performance between qualified tennis players. In: Beltrán-Castañón, C., Nyström, I., Famili, F. (eds.) CIARP 2016. LNCS, vol. 10125, pp. 309–317. Springer, Cham (2017). doi:10.1007/978-3-319-52277-7_38 ; Diaz-Martinez, N.F., Pulgarin-Giraldo, J.D., Vinasco-Isaza, L.E., Agredo, W.: Analysis of the alignment angles and flexion angle in women with patellofemoral pain syndrome. In: Torres, I., Bustamante, J., Sierra, D. (eds.) CLAIB 2016. IFMBE Proceedings. Springer, Singapore (2016) ; Yang, X., Tian, Y.: Effective 3D action recognition using eigenjoints. J. Vis. Commun. Image Represent. 25(1), 2–11 (2014) ; Yang, X., Tian, Y.: Eigenjoints-based action recognition using Naïve-Bayes-Nearest-Neighbor. In: CVPR Workshops, pp. 14–19. IEEE Computer Society (2012) ; Ofli, F., Chaudhry, R., Kurillo, G., Vidal, R., Bajcsy, R.: Sequence of the most informative joints (SMIJ): a new representation for human skeletal action recognition. J. Vis. Commun. Image Represent. 25(1), 24–38 (2014; (2017)

Online Buch

Konferenz

Konferenz

In: Linking Theory and Practice of Digital Libraries (Part of the book series: Lecture Notes in Computer Science) LNCS,volume 13541 175-186, 2022

Konferenz

2022

Online Elektronische Ressource

Konferenz

Konferenz

In: Social Information Access ; https://hal.science/hal-01794923 ; Social Information Access, Volume 10100, Springer, Cham, pp.624 - 653, 2018, Lecture Notes in Computer Science book series (LNCS), 978-3-319-90091-9. ⟨10.1007/978-3-319-90092-6_16⟩; (2018)

Buch

In: Lecture Notes in Computer Science: ‘Cognitive Computing – ICCC 2018’, Proceedings of the 2nd International Conference Federation (SCF 2018), Seattle, United States, 25-30 June 2018, Vol. 10971 LNCS, 2018

Online Konferenz

Konferenz

Konferenz