Gotowa bibliografia na temat „Dynamic visual signal”
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Artykuły w czasopismach na temat "Dynamic visual signal"
Hirata, Yutaka. "Neural signal processing for dynamic visual stabilization". Brain & Neural Networks 11, nr 4 (2004): 176–92. http://dx.doi.org/10.3902/jnns.11.176.
Pełny tekst źródłaNittrouer, Susan, i Joanna H. Lowenstein. "Beyond Recognition: Visual Contributions to Verbal Working Memory". Journal of Speech, Language, and Hearing Research 65, nr 1 (12.01.2022): 253–73. http://dx.doi.org/10.1044/2021_jslhr-21-00177.
Pełny tekst źródłaLajoie, Guillaume, i Lai-Sang Young. "Dynamic Signal Tracking in a Simple V1 Spiking Model". Neural Computation 28, nr 9 (wrzesień 2016): 1985–2010. http://dx.doi.org/10.1162/neco_a_00868.
Pełny tekst źródłaCezário, Rodrigo Roucourt, Vinicius Marques Lopez, Stanislav Gorb i Rhainer Guillermo-Ferreira. "Dynamic iridescent signals of male copperwing damselflies coupled with wing-clapping displays: the perspective of different receivers". Biological Journal of the Linnean Society 134, nr 1 (2.06.2021): 229–39. http://dx.doi.org/10.1093/biolinnean/blab068.
Pełny tekst źródłaPomante, A., L. P. J. Selen i W. P. Medendorp. "Perception of the dynamic visual vertical during sinusoidal linear motion". Journal of Neurophysiology 118, nr 4 (1.10.2017): 2499–506. http://dx.doi.org/10.1152/jn.00439.2017.
Pełny tekst źródłaGielen, CCAM, i JAM van Gisbergen. "The Visual Guidance of Saccades and Fast Aiming Movements". Physiology 5, nr 2 (1.04.1990): 58–63. http://dx.doi.org/10.1152/physiologyonline.1990.5.2.58.
Pełny tekst źródłaJ. B. Meyers, S. E. Prussia i C. J. Karwoski. "Signal Detection Theory for Optimizing Dynamic Visual Inspection Performance". Applied Engineering in Agriculture 6, nr 4 (1990): 412–17. http://dx.doi.org/10.13031/2013.26406.
Pełny tekst źródłaLópez, María T., Antonio Fernández-Caballero, Miguel A. Fernández, José Mira i Ana E. Delgado. "Visual surveillance by dynamic visual attention method". Pattern Recognition 39, nr 11 (listopad 2006): 2194–211. http://dx.doi.org/10.1016/j.patcog.2006.04.018.
Pełny tekst źródłaLigon, Russell A., i Kevin J. McGraw. "Social costs enforce honesty of a dynamic signal of motivation". Proceedings of the Royal Society B: Biological Sciences 283, nr 1841 (26.10.2016): 20161873. http://dx.doi.org/10.1098/rspb.2016.1873.
Pełny tekst źródłaSoundirarajan, Mirra, Mohammad Hossein Babini, Sue Sim, Visvamba Nathan i Hamidreza Namazi. "Decoding of the Relationship between Brain and Facial Muscle Activities in Response to Dynamic Visual Stimuli". Fluctuation and Noise Letters 19, nr 04 (23.06.2020): 2050041. http://dx.doi.org/10.1142/s0219477520500418.
Pełny tekst źródłaRozprawy doktorskie na temat "Dynamic visual signal"
Júnior, Alcebíades Dal Col. "Visual analytics via graph signal processing". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22102018-112358/.
Pełny tekst źródłaA transformada wavelet clássica tem sido amplamente usada no processamento de imagens e sinais, onde um sinal é decomposto em uma combinação de sinais de base. Analisando a contribuição individual dos sinais de base, pode-se inferir propriedades do sinal original. Esta tese apresenta uma visão geral da extensão da teoria clássica de processamento de sinais para grafos. Especificamente, revisamos a transformada de Fourier em grafo e as transformadas wavelet em grafo ambas fundamentadas na teoria espectral de grafos, e exploramos suas propriedades através de exemplos ilustrativos. As principais características das transformadas wavelet espectrais em grafo são apresentadas usando dados sintéticos e reais. Além disso, introduzimos nesta tese um método inovador para análise visual de redes dinâmicas, que utiliza a teoria de wavelets em grafo. Redes dinâmicas aparecem naturalmente em uma infinidade de aplicações de diferentes domínios. Analisar e explorar redes dinâmicas a fim de entender e detectar padrões e fenômenos é desafiador, fomentando o desenvolvimento de novas metodologias, particularmente no campo de análise visual. Nosso método permite a análise automática de um sinal definido nos vértices de uma rede, tornando possível a detecção de propriedades da rede. Especificamente, usamos uma aproximação da transformada wavelet em grafo para obter um conjunto de coeficientes wavelet, que são então usados para identificar padrões de atividade em redes de grande porte, incluindo a sua recorrência temporal. Os coeficientes wavelet naturalmente codificam variações espaciais e temporais do sinal, criando uma representação eficiente e com significado expressivo. Esse método permite explorar a evolução estrutural da rede e seus padrões ao longo do tempo. A eficácia da nossa abordagem é demonstrada usando diferentes cenários e comparações envolvendo redes dinâmicas reais.
How, Martin John, i martin how@anu edu au. "The fiddler crab claw-waving display: an analysis of the structure and function of a movement-based visual signal". The Australian National University. Research School of Biological Sciences, 2004. http://thesis.anu.edu.au./public/adt-ANU20081001.111333.
Pełny tekst źródłaHuang, Jian. "Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations". FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/902.
Pełny tekst źródłaVaratharajah, Alexander. "EEG signal dynamics in unrestricted natural visual search". Thesis, University of Leicester, 2017. http://hdl.handle.net/2381/39777.
Pełny tekst źródłaRawashdeh, Samir Ahmed. "VISUAL ATTITUDE PROPAGATION FOR SMALL SATELLITES". UKnowledge, 2013. http://uknowledge.uky.edu/ece_etds/30.
Pełny tekst źródłaYavuz, Esin. "Source separation analysis of visual cortical dynamics revealed by voltage sensitive dye imaging". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2012. http://tel.archives-ouvertes.fr/tel-00836931.
Pełny tekst źródłaHow, Martin John. "The fiddler crab claw-waving display: an analysis of the structure and function of a movement-based visual signal". Phd thesis, 2007. http://hdl.handle.net/1885/49333.
Pełny tekst źródłaKarakaya, Mahmut. "Collaborative Solutions to Visual Sensor Networks". 2011. http://trace.tennessee.edu/utk_graddiss/1087.
Pełny tekst źródłaKsiążki na temat "Dynamic visual signal"
Stokes, Mark, i John Duncan. Dynamic Brain States for Preparatory Attention and Working Memory. Redaktorzy Anna C. (Kia) Nobre i Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.032.
Pełny tekst źródłaO’Hanlon, James C., Thomas E. White i Kate D. L. Umbers. Visual communication. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797500.003.0011.
Pełny tekst źródłaBabo-Rebelo, Mariana, i Catherine Tallon-Baudry. Interoceptive signals, brain dynamics, and subjectivity. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811930.003.0003.
Pełny tekst źródłaHuffaker, Ray, Marco Bittelli i Rodolfo Rosa. Data Preprocessing. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0006.
Pełny tekst źródłaBucy, Erik P., i Patrick Stewart. The Personalization of Campaigns: Nonverbal Cues in Presidential Debates. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228637.013.52.
Pełny tekst źródłaSandler, Daniela. Counterpreservation. Cornell University Press, 2017. http://dx.doi.org/10.7591/cornell/9781501703164.001.0001.
Pełny tekst źródłaCzęści książek na temat "Dynamic visual signal"
Narwaria, Manish, Matthieu Perreira Da Silva i Patrick Le Callet. "High Dynamic Range Visual Quality of Experience Measurement: Challenges and Perspectives". W Visual Signal Quality Assessment, 129–55. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10368-6_5.
Pełny tekst źródłaYamada, T., K. Ukai i S. Ishikawa. "Error signal detection and dynamics of accommodation". W Accommodation and Vergence Mechanisms in the Visual System, 213–23. Basel: Birkhäuser Basel, 2000. http://dx.doi.org/10.1007/978-3-0348-7586-8_19.
Pełny tekst źródłaCannas, Barbara, Sara Carcangiu, Alessandra Fanni, Ivan Lupelli, Fulvio Militello, Augusto Montisci, Fabio Pisano, Giuliana Sias i Nick Walkden. "Convolutional Neural Networks for the Identification of Filaments from Fast Visual Imaging Cameras in Tokamak Reactors". W Neural Advances in Processing Nonlinear Dynamic Signals, 167–77. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95098-3_15.
Pełny tekst źródłaNiebur, Ernst, i Christof Koch. "Models for the Neuronal Implementation of Selective Visual Attention Based on the Temporal Structure of Neural Signals". W Oscillatory Event-Related Brain Dynamics, 295–309. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1307-4_21.
Pełny tekst źródłaOswald, Julie N., Christine Erbe, William L. Gannon, Shyam Madhusudhana i Jeanette A. Thomas. "Detection and Classification Methods for Animal Sounds". W Exploring Animal Behavior Through Sound: Volume 1, 269–317. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97540-1_8.
Pełny tekst źródłaBrandstetter, Andrea, Najoua Bolakhrif, Christian Schiffer, Timo Dickscheid, Hartmut Mohlberg i Katrin Amunts. "Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain". W Lecture Notes in Computer Science, 22–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_2.
Pełny tekst źródłaMaharaj, Gyanpriya, Godfrey Bourne i Abdullah Ansari. "A Review of Floral Color Signals and Their Heliconiid Butterfly Receivers". W Arthropods [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98666.
Pełny tekst źródłaShiell, Derek J., Louis H. Terry, Petar S. Aleksic i Aggelos K. Katsaggelos. "Audio-Visual and Visual-Only Speech and Speaker Recognition". W Visual Speech Recognition, 1–38. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-186-5.ch001.
Pełny tekst źródłaPlastino, A., i M. T. Martin. "Generalized Information Measures and the Analysis of Brain Electrical Signals". W Nonextensive Entropy. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780195159769.003.0020.
Pełny tekst źródłaAfef, Ouelhazi, Rudy Lussiez i Molotchnikoff Stephane. "Cortical Plasticity under Ketamine: From Synapse to Map". W Sensory Nervous System - Computational Neuroimaging Investigations of Topographical Organization in Human Sensory Cortex [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104787.
Pełny tekst źródłaStreszczenia konferencji na temat "Dynamic visual signal"
Feng, Tian, i Charith Abhayaratne. "Visual Saliency Guided High Dynamic Range Image Compression". W 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, 2018. http://dx.doi.org/10.23919/eusipco.2018.8553456.
Pełny tekst źródłaRice, Iain, i David Lowe. "Topographic visual analytics of multibeam dynamic SONAR data". W 2014 Sensor Signal Processing for Defence (SSPD). IEEE, 2014. http://dx.doi.org/10.1109/sspd.2014.6943326.
Pełny tekst źródłaLv, Guoyun, Shuixian Hu, Yangyu Fan i Min Qi. "Visual emotion recognition based on dynamic models". W 2013 IEEE International Conference on Signal Processing, Communications and Computing. IEEE, 2013. http://dx.doi.org/10.1109/icspcc.2013.6664137.
Pełny tekst źródłaYagi, Nobuyuki, Ryoichi Yajima, Kazumasa Enami, Kazuo Fukui, Nobuyuki Sasaki, Kouji Hoshino, Kazuhiro Harukawa i Masaru Kogure. "Real-Time Video Signal Processing System For Dynamic Images". W 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, redaktor William A. Pearlman. SPIE, 1989. http://dx.doi.org/10.1117/12.970096.
Pełny tekst źródłaSagel, Alexander, i Hao Shen. "Dynamic Variational Autoencoders for Visual Process Modeling". W ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053660.
Pełny tekst źródłaDal Col, Alcebiades, i Luis Gustavo Nonato. "Visual Analytics via Graph Signal Processing". W XXXII Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sibgrapi.est.2019.8295.
Pełny tekst źródłaSiracusa, Michael R., i John W. Fisher. "Dynamic Dependency Tests for Audio-Visual Speaker Association". W 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366271.
Pełny tekst źródłaChen, Duan-Yu, Hsiao-Rong Tyan, Sheng-Wen Shih i Hong-Yuan Mark Liao. "Dynamic Visual Saliency Modeling for Video Semantics". W 2008 Fourth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, 2008. http://dx.doi.org/10.1109/iih-msp.2008.306.
Pełny tekst źródłaMarcheret, Etienne, Vit Libal i Gerasimos Potamianos. "Dynamic Stream Weight Modeling for Audio-Visual Speech Recognition". W 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.367227.
Pełny tekst źródłaZhao, Jinlong, Zhiyu Xiang, Lei Liu i Zhike Zhang. "DMVO: A Multi-motion Visual Odometry for Dynamic Environments". W 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2021. http://dx.doi.org/10.1109/wcsp52459.2021.9613336.
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