Literatura académica sobre el tema "Spatio-temporal sequences"
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Artículos de revistas sobre el tema "Spatio-temporal sequences"
Caspi, Y. y M. Irani. "Spatio-temporal alignment of sequences". IEEE Transactions on Pattern Analysis and Machine Intelligence 24, n.º 11 (noviembre de 2002): 1409–24. http://dx.doi.org/10.1109/tpami.2002.1046148.
Texto completoHorn, D., G. Dror y B. Quenet. "Dynamic Proximity of Spatio-Temporal Sequences". IEEE Transactions on Neural Networks 15, n.º 5 (septiembre de 2004): 1002–8. http://dx.doi.org/10.1109/tnn.2004.832809.
Texto completoDiego, Ferran, Joan Serrat y Antonio M. Lopez. "Joint Spatio-Temporal Alignment of Sequences". IEEE Transactions on Multimedia 15, n.º 6 (octubre de 2013): 1377–87. http://dx.doi.org/10.1109/tmm.2013.2247390.
Texto completoAzzabou, Noura y Nikos Paragios. "Spatio-temporal speckle reduction in ultrasound sequences". Inverse Problems & Imaging 4, n.º 2 (2010): 211–22. http://dx.doi.org/10.3934/ipi.2010.4.211.
Texto completoHach, Thomas y Tamara Seybold. "Spatio-Temporal Denoising for Depth Map Sequences". International Journal of Multimedia Data Engineering and Management 7, n.º 2 (abril de 2016): 21–35. http://dx.doi.org/10.4018/ijmdem.2016040102.
Texto completoAhn, J. H. y J. K. Kim. "Spatio-temporal visibility function for image sequences". Electronics Letters 27, n.º 7 (1991): 585. http://dx.doi.org/10.1049/el:19910369.
Texto completoOliveira, Francisco P. M., Andreia Sousa, Rubim Santos y João Manuel R. S. Tavares. "Spatio-temporal alignment of pedobarographic image sequences". Medical & Biological Engineering & Computing 49, n.º 7 (8 de abril de 2011): 843–50. http://dx.doi.org/10.1007/s11517-011-0771-x.
Texto completoPavlovskaya, Marina y Shaul Hochstein. "Explicit Ensemble Perception of Temporal and Spatio-temporal Element Sequences". Journal of Vision 21, n.º 9 (27 de septiembre de 2021): 2570. http://dx.doi.org/10.1167/jov.21.9.2570.
Texto completoKoseoglu, Baran, Erdem Kaya, Selim Balcisoy y Burcin Bozkaya. "ST Sequence Miner: visualization and mining of spatio-temporal event sequences". Visual Computer 36, n.º 10-12 (16 de julio de 2020): 2369–81. http://dx.doi.org/10.1007/s00371-020-01894-6.
Texto completoAddesso, Paolo, Maurizio Longo, Rocco Restaino y Gemine Vivone. "Spatio-temporal resolution enhancement for cloudy thermal sequences". European Journal of Remote Sensing 52, sup1 (11 de octubre de 2018): 2–14. http://dx.doi.org/10.1080/22797254.2018.1526045.
Texto completoTesis sobre el tema "Spatio-temporal sequences"
Luo, Ying. "Statistical semantic analysis of spatio-temporal image sequences /". Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/5884.
Texto completoOgden, Samuel R. "Automatic Content-Based Temporal Alignment of Image Sequences with Varying Spatio-Temporal Resolution". BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3303.
Texto completoSpiegel, Rainer. "Human and machine learning of spatio-temporal sequences : an experimental and computational investigation". Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619820.
Texto completoPinto, Rafael Coimbra. "Online incremental one-shot learning of temporal sequences". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/49063.
Texto completoThis work introduces novel neural networks algorithms for online spatio-temporal pattern processing by extending the Incremental Gaussian Mixture Network (IGMN). The IGMN algorithm is an online incremental neural network that learns from a single scan through data by means of an incremental version of the Expectation-Maximization (EM) algorithm combined with locally weighted regression (LWR). Four different approaches are used to give temporal processing capabilities to the IGMN algorithm: time-delay lines (Time-Delay IGMN), a reservoir layer (Echo-State IGMN), exponential moving average of reconstructed input vector (Merge IGMN) and self-referencing (Recursive IGMN). This results in algorithms that are online, incremental, aggressive and have temporal capabilities, and therefore are suitable for tasks with memory or unknown internal states, characterized by continuous non-stopping data-flows, and that require life-long learning while operating and giving predictions without separated stages. The proposed algorithms are compared to other spatio-temporal neural networks in 8 time-series prediction tasks. Two of them show satisfactory performances, generally improving upon existing approaches. A general enhancement for the IGMN algorithm is also described, eliminating one of the algorithm’s manually tunable parameters and giving better results.
Cheng, Hai-Ling Margaret. "3D spatio-temporal interpolation of of digital image sequences using low-order 3D IIR filters". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq20866.pdf.
Texto completoUmakanthan, Sabanadesan. "Human action recognition from video sequences". Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/93749/1/Sabanadesan_Umakanthan_Thesis.pdf.
Texto completoStéphanou, Angélique. "The Spatio-temporal dynamics of cell membrane deformations and cell migration : a characterization from image sequences and theoretical modelling". Université Joseph Fourier (Grenoble), 2002. http://www.theses.fr/2002GRE19002.
Texto completoDe, Groeve Johannes. "A wildlife journey in space and time: methodological advancements in the assessment and analysis of spatio-temporal patterns of animal movement across European landscapes". Doctoral thesis, country:BE, 2018. http://hdl.handle.net/10449/52251.
Texto completoMuraleedharan, Nair Jayakrishnan. "Signature Verification Model: A Long Term Memory Approach". Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1427210243.
Texto completoZiaeetabar, Fatemeh [Verfasser], Florentin [Akademischer Betreuer] Wörgötter, Florentin [Gutachter] Wörgötter, Ricarda I. [Gutachter] Schubotz, Dieter [Gutachter] Hogrefe, Marcus [Gutachter] Baum, Carsten [Gutachter] Damm y Wolfgang [Gutachter] May. "Spatio-temporal reasoning for semantic scene understanding and its application in recognition and prediction of manipulation actions in image sequences / Fatemeh Ziaeetabar ; Gutachter: Florentin Wörgötter, Ricarda I. Schubotz, Dieter Hogrefe, Marcus Baum, Carsten Damm, Wolfgang May ; Betreuer: Florentin Wörgötter". Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2020. http://d-nb.info/1208918494/34.
Texto completoLibros sobre el tema "Spatio-temporal sequences"
Cruse, Holk y Malte Schilling. Pattern generation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0024.
Texto completoLuc, Heres, ed. Time in GIS: Issues in spatio-temporal modelling. Nederlandse Commissie voor Geodesie, 2000. http://dx.doi.org/10.54419/v5m55p.
Texto completoCapítulos de libros sobre el tema "Spatio-temporal sequences"
Patanè, Luca, Roland Strauss y Paolo Arena. "Learning Spatio-Temporal Behavioural Sequences". En Nonlinear Circuits and Systems for Neuro-inspired Robot Control, 65–85. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73347-0_5.
Texto completoAzzabou, Noura y Nikos Paragios. "Spatio-temporal Speckle Reduction in Ultrasound Sequences". En Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008, 951–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85988-8_113.
Texto completoKaempchen, Nico, Markus Zocholl y Klaus C. J. Dietmayer. "Spatio–temporal Segmentation Using Laserscanner and Video Sequences". En Lecture Notes in Computer Science, 367–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28649-3_45.
Texto completoHirel, Julien, Philippe Gaussier y Mathias Quoy. "Model of the Hippocampal Learning of Spatio-temporal Sequences". En Artificial Neural Networks – ICANN 2010, 345–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15825-4_46.
Texto completoZhou, Yihao y Yan Qiu Chen. "Feature-Assisted Dense Spatio-temporal Reconstruction from Binocular Sequences". En Computer Vision – ACCV 2010, 435–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19282-1_35.
Texto completoBrandt, Einar, Lars Wigström y Bengt Wranne. "Segmentation of Echocardiographic Image Sequences Using Spatio-temporal Information". En Medical Image Computing and Computer-Assisted Intervention – MICCAI’99, 410–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/10704282_45.
Texto completoPerperidis, Dimitrios, Raad Mohiaddin y Daniel Rueckert. "Spatio-Temporal Free-Form Registration of Cardiac MR Image Sequences". En Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004, 911–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30135-6_111.
Texto completoPerperidis, Dimitrios, Raad Mohiaddin y Daniel Rueckert. "Fast Spatio-temporal Free-Form Registration of Cardiac MR Image Sequences". En Functional Imaging and Modeling of the Heart, 414–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11494621_41.
Texto completoSioutis, Michael, Jean-François Condotta, Yakoub Salhi, Bertrand Mazure y David A. Randell. "Ordering Spatio-Temporal Sequences to Meet Transition Constraints: Complexity and Framework". En IFIP Advances in Information and Communication Technology, 130–50. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23868-5_10.
Texto completoDuchateau, Nicolas, Mathieu De Craene, Xavier Pennec, Beatriz Merino, Marta Sitges y Bart Bijnens. "Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?" En Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 25–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33555-6_3.
Texto completoActas de conferencias sobre el tema "Spatio-temporal sequences"
Sawada, Katsutoshi y Masatoshi Asada. "Spatio-Temporal Scalable Coding of Interlaced Video Sequences". En SMPTE HDTV Workshop. IEEE, 1996. http://dx.doi.org/10.5594/m001249.
Texto completoZafeiriou, Lazaros, Epameinondas Antonakos, Stefanos Zafeiriou y Maja Pantic. "Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences". En 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2016. http://dx.doi.org/10.1109/cvpr.2016.368.
Texto completo"REFA3D: ROBUST SPATIO-TEMPORAL ANALYSIS OF VIDEO SEQUENCES". En International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003857203520357.
Texto completoVerhein, Florian. "k-STARs: Sequences of Spatio-Temporal Association Rules". En 2006 6th IEEE International Conference on Data Mining Workshops. IEEE, 2006. http://dx.doi.org/10.1109/icdmw.2006.102.
Texto completoChen, Yueguo, Shouxu Jiang, Beng Chin Ooi y Anthony K. H. Tung. "Querying Complex Spatio-Temporal Sequences in Human Motion Databases". En 2008 IEEE 24th International Conference on Data Engineering (ICDE 2008). IEEE, 2008. http://dx.doi.org/10.1109/icde.2008.4497417.
Texto completoKatsaggelos, A. K., J. N. Driessen, S. N. Efstratiadis y R. L. Lagendijk. "Spatio-Temporal Motion Compensated Noise Filtering Of Image Sequences". En 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, editado por William A. Pearlman. SPIE, 1989. http://dx.doi.org/10.1117/12.970019.
Texto completoBersvendsen, Jørn, Matthew Toews, Adriyana Danudibroto, William M. Wells, Stig Urheim, Raúl San José Estépar y Eigil Samset. "Robust spatio-temporal registration of 4D cardiac ultrasound sequences". En SPIE Medical Imaging, editado por Neb Duric y Brecht Heyde. SPIE, 2016. http://dx.doi.org/10.1117/12.2217005.
Texto completoChan, C. L. y B. J. Sullivan. "Nonlinear model-based spatio-temporal filtering of image sequences". En [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1991. http://dx.doi.org/10.1109/icassp.1991.151031.
Texto completoOgden, Samuel R. y Bryan S. Morse. "Automatic content-based temporal alignment of image sequences with varying spatio-temporal resolution". En 2013 IEEE Workshop on Applications of Computer Vision (WACV). IEEE, 2013. http://dx.doi.org/10.1109/wacv.2013.6475027.
Texto completoYi Sun y Lijun Yin. "3D Spatio-Temporal face recognition using dynamic range model sequences". En 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2008. http://dx.doi.org/10.1109/cvprw.2008.4563125.
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