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Showing 10 out of a total of 1924 results for community: Investigación. (0.083 seconds)
Now showing items 1851-1860 of 1924
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Introducción: Oportunidades y desafíos para las industrias culturales en el entorno digital
(bookPart) Albornoz Espiñeira, Luis Alfonso
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García Leiva, María Trinidad
2018Albornoz Espiñeira, L. A., García Leiva, M. T. (2018). Introducción: Oportunidades y desafíos para las industrias culturales en el entorno digital. En: Los contenidos culturales en el entorno digital. Retos económicos y jurídicos. Madrid: Fundación Alternativas; Fundación SGAE, pp. 13-19
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Bergel Sainz de Baranda, Yolanda
2017-10Bergel, Y. (2017). L’introduction au Droit en Espagne. Rémy Cabrillac (dir.): Qu’est-ce qu’une introduction au Droit? Francia: Dalloz, pp. 153-158.
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3D-Hog Embedding Frameworks for Single and Multi-Viewpoints Action Recognition Based on Human Silhouettes
(bookPart) Angelini, Federico ; Fu, Zeyu ; Velastin Carroza, Sergio Alejandro
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Chambers, Jonathon A.
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Naqvi, Syed Mohsen
2018-09-13Angelini, F., Fu, Z., Velastin, S.A, Chambers, J.A. y Naqvi, S.M. (2018). 3D-Hog Embedding Frameworks for Single and Multi-Viewpoints Action Recognition Based on Human Silhouettes. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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Feature Similarity and Frequency-Based Weighted Visual Words Codebook Learning Scheme for Human Action Recognition
(bookPart) Nazir, Saima ; Yousaf, Muhammad Haroon ; Velastin Carroza, Sergio Alejandro
2017-11-20Nazir, S., Yousaf, M.H. y Velastin, S.A. (2018). Feature Similarity and Frequency-Based Weighted Visual Words Codebook Learning Scheme for Human Action Recognition. In PSIVT 2017 Image and Video Technology,10749, pp. 326-336.
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Inter and Intra Class Correlation Analysis (IIcCA) for Human Action Recognition in Realistic Scenarios
(bookPart) Nazir, Saima ; Yousaf, Muhammad Haroon ; Velastin Carroza, Sergio Alejandro
2017-07-11Nazir, S., Yousaf, M.H y Velastin, S.A. (2017). Inter and Intra class correlation analysis (IIcCA) for human action recognition in realistic scenarios. In 8th International Conference of Pattern Recognition Systems (ICPRS 2017)
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Noman, Mubashir ; Yousaf, Muhammad Haroon ; Velastin Carroza, Sergio Alejandro
2016-11-30Noman, M., Yousaf, M.H., Velastin, S. A. (2016). An Optimized and Fast Scheme for Real-Time Human Detection Using Raspberry Pi. In: 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).
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Murtaza, Fiza ; Yousaf, Muhammad Haroon ; Velastin Carroza, Sergio Alejandro
2015-12Murtaza, F., Yousaf, M.H. y Velastin, S.A. (2015). Multi-view Human Action Recognition Using Histograms of Oriented Gradients (HOG) Description of Motion History Images (MHIs). In 2015 13th International Conference on Frontiers of Information Technology (FIT), pp. 297-302.
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People Counting in Videos by Fusing Temporal Cues from Spatial Context-Aware Convolutional Neural Networks
(bookPart) Sourtzinos, Panos ; Velastin Carroza, Sergio Alejandro
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Jara, Miguel
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Zegers, Pablo
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Makris, Dimitrios
2016-11-03Sourtzinos, P., Velastin, S.A., Jara, M., Zegers, P. y Makris, D. (2016). People Counting in Videos by Fusing Temporal Cues from Spatial Context-Aware Convolutional Neural Networks. In European Conference on Computer Vision 2016 Workshops, Part II, LNCS 9914, pp. 655–667.
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DA-VLAD: Discriminative action vector of locally aggregated descriptors for action recognition
(bookPart) Murtaza, Fiza ; Yousaf, Haroon Muhammad ; Velastin Carroza, Sergio Alejandro
2018-09-06Murtaza, F., Yousaf, M.H. y Velastin, S.A. (2018). DA-VLAD: Discriminative Action Vector Of Locally Aggregated Descriptors for Action Recognition. In 2018 25th IEEE International Conference on Image Processing (ICIP).
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Motorcycle Classification in Urban Scenarios using Convolutional Neural Networks for Feature Extraction
(bookPart) Espinosa, Jorge E. ; Velastin Carroza, Sergio Alejandro
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Branch, John W.
2017-07-12Espinosa, J.E., Velastin, S.A. y Branch, J.W. (2017). Motorcycle classification in urban scenarios using convolutional neural networks for feature extraction. In 8th International Conference of Pattern Recognition Systems (ICPRS 2017)
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