Literatura científica selecionada sobre o tema "Multimodal processing"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Índice
Consulte a lista de atuais artigos, livros, teses, anais de congressos e outras fontes científicas relevantes para o tema "Multimodal processing".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Artigos de revistas sobre o assunto "Multimodal processing"
Ng, Vincent, e Shengjie Li. "Multimodal Propaganda Processing". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 13 (26 de junho de 2023): 15368–75. http://dx.doi.org/10.1609/aaai.v37i13.26792.
Texto completo da fonteSinke, Christopher, Janina Neufeld, Daniel Wiswede, Hinderk M. Emrich, Stefan Bleich e Gregor R. Szycik. "Multisensory processing in synesthesia — differences in the EEG signal during uni- and multimodal processing". Seeing and Perceiving 25 (2012): 53. http://dx.doi.org/10.1163/187847612x646749.
Texto completo da fonteD'Ulizia, Arianna, Fernando Ferri e Patrizia Grifoni. "Generating Multimodal Grammars for Multimodal Dialogue Processing". IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 40, n.º 6 (novembro de 2010): 1130–45. http://dx.doi.org/10.1109/tsmca.2010.2041227.
Texto completo da fonteBarricelli, Barbara Rita, Piero Mussio, Marco Padula e Paolo Luigi Scala. "TMS for multimodal information processing". Multimedia Tools and Applications 54, n.º 1 (27 de abril de 2010): 97–120. http://dx.doi.org/10.1007/s11042-010-0527-x.
Texto completo da fonteParsons, Aaron D., Stephen W. T. Price, Nicola Wadeson, Mark Basham, Andrew M. Beale, Alun W. Ashton, J. Frederick W. Mosselmans e Paul D. Quinn. "Automatic processing of multimodal tomography datasets". Journal of Synchrotron Radiation 24, n.º 1 (1 de janeiro de 2017): 248–56. http://dx.doi.org/10.1107/s1600577516017756.
Texto completo da fonteHoller, Judith, e Stephen C. Levinson. "Multimodal Language Processing in Human Communication". Trends in Cognitive Sciences 23, n.º 8 (agosto de 2019): 639–52. http://dx.doi.org/10.1016/j.tics.2019.05.006.
Texto completo da fonteFarzin, Faraz, Eric P. Charles e Susan M. Rivera. "Development of Multimodal Processing in Infancy". Infancy 14, n.º 5 (1 de setembro de 2009): 563–78. http://dx.doi.org/10.1080/15250000903144207.
Texto completo da fonteZhang, Ge, Tianxiang Luo, Witold Pedrycz, Mohammed A. El-Meligy, Mohamed Abdel Fattah Sharaf e Zhiwu Li. "Outlier Processing in Multimodal Emotion Recognition". IEEE Access 8 (2020): 55688–701. http://dx.doi.org/10.1109/access.2020.2981760.
Texto completo da fonteMetaxakis, Athanasios, Dionysia Petratou e Nektarios Tavernarakis. "Multimodal sensory processing in Caenorhabditis elegans". Open Biology 8, n.º 6 (junho de 2018): 180049. http://dx.doi.org/10.1098/rsob.180049.
Texto completo da fonteNock, Harriet J., Giridharan Iyengar e Chalapathy Neti. "Multimodal processing by finding common cause". Communications of the ACM 47, n.º 1 (1 de janeiro de 2004): 51. http://dx.doi.org/10.1145/962081.962105.
Texto completo da fonteTeses / dissertações sobre o assunto "Multimodal processing"
Cadène, Rémi. "Deep Multimodal Learning for Vision and Language Processing". Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS277.
Texto completo da fonteDigital technologies have become instrumental in transforming our society. Recent statistical methods have been successfully deployed to automate the processing of the growing amount of images, videos, and texts we produce daily. In particular, deep neural networks have been adopted by the computer vision and natural language processing communities for their ability to perform accurate image recognition and text understanding once trained on big sets of data. Advances in both communities built the groundwork for new research problems at the intersection of vision and language. Integrating language into visual recognition could have an important impact on human life through the creation of real-world applications such as next-generation search engines or AI assistants.In the first part of this thesis, we focus on systems for cross-modal text-image retrieval. We propose a learning strategy to efficiently align both modalities while structuring the retrieval space with semantic information. In the second part, we focus on systems able to answer questions about an image. We propose a multimodal architecture that iteratively fuses the visual and textual modalities using a factorized bilinear model while modeling pairwise relationships between each region of the image. In the last part, we address the issues related to biases in the modeling. We propose a learning strategy to reduce the language biases which are commonly present in visual question answering systems
Hu, Yongtao, e 胡永涛. "Multimodal speaker localization and identification for video processing". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/212633.
Texto completo da fonteChen, Xun. "Multimodal biomedical signal processing for corticomuscular coupling analysis". Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/45811.
Texto completo da fonteSadr, Lahijany Nadi. "Multimodal Signal Processing for Diagnosis of Cardiorespiratory Disorders". Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17636.
Texto completo da fonteElshaw, Mark. "Multimodal neural grounding of language processing for robot actions". Thesis, University of Sunderland, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420517.
Texto completo da fonteFriedel, Paul. "Sensory information processing : detection, feature extraction, & multimodal integration". kostenfrei, 2008. http://mediatum2.ub.tum.de/doc/651333/651333.pdf.
Texto completo da fonteSadeghi, Ghandehari Soroush. "Multimodal signal processing in the peripheral and central vestibular pathways". Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=95559.
Texto completo da fonteLes organes sensoriels vestibulaires de l’oreille interne détectent les mouvements de la tète dans r espace. Ces informations sont envoyées aux neurones vestibulaires centraux localises au niveau du tronc cérébral. A ce niveau convergent également d'autres signaux en provenance du cortex, du cervelet. de la moelle ainsi que de divers noyaux du tronc cérébral. Les études présentées ici ont pour but de comprendre le mode de codage et la nature des signaux générés par les neurones vestibulaires périphériques, ainsi que les capacités de traitement des neurones vestibulaires centraux. véritable centres d'intégration sensori-motrice. Ces travaux ont été conduits en condition physiologique et physiopathologique sur le modèle de la compensation vestibulaire. A r aide de mesures issues de la théorie de l'information, nous nous sommes tout d'abord intéresse aux codages effectues par Ies afférences vestibulaires régulières et irrégulières. Ces deux types neuronaux différent notamment par la variabilité de leur fréquence de décharge spontanée (bruit) et leurs sensibilités (signal). Nous avons montre que Ies fibres afférentes régulières utilisent un codage temporel alors que les fibres irrégulières fonctionnent essentiellement sur un codage en modulation de la fréquence, et ce d' autant mieux que les fréquences sont élevées, constituant ainsi de véritables détecteurs d'évènements. Nous avons ensuite étudie les réponses des afférences suite a une stimulation vestibulaire directe ou a une activation du « système efférent ». En conditions physiologiques, nous avons tout d'abord pu démontrer que le système efférent est bien fonctionneI chez le singe éveille. fr
Fateri, Sina. "Advanced signal processing techniques for multimodal ultrasonic guided wave response". Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11657.
Texto completo da fonteCaglayan, Ozan. "Multimodal Machine Translation". Thesis, Le Mans, 2019. http://www.theses.fr/2019LEMA1016/document.
Texto completo da fonteMachine translation aims at automatically translating documents from one language to another without human intervention. With the advent of deep neural networks (DNN), neural approaches to machine translation started to dominate the field, reaching state-ofthe-art performance in many languages. Neural machine translation (NMT) also revived the interest in interlingual machine translation due to how it naturally fits the task into an encoder-decoder framework which produces a translation by decoding a latent source representation. Combined with the architectural flexibility of DNNs, this framework paved the way for further research in multimodality with the objective of augmenting the latent representations with other modalities such as vision or speech, for example. This thesis focuses on a multimodal machine translation (MMT) framework that integrates a secondary visual modality to achieve better and visually grounded language understanding. I specifically worked with a dataset containing images and their translated descriptions, where visual context can be useful forword sense disambiguation, missing word imputation, or gender marking when translating from a language with gender-neutral nouns to one with grammatical gender system as is the case with English to French. I propose two main approaches to integrate the visual modality: (i) a multimodal attention mechanism that learns to take into account both sentence and convolutional visual representations, (ii) a method that uses global visual feature vectors to prime the sentence encoders and the decoders. Through automatic and human evaluation conducted on multiple language pairs, the proposed approaches were demonstrated to be beneficial. Finally, I further show that by systematically removing certain linguistic information from the input sentences, the true strength of both methods emerges as they successfully impute missing nouns, colors and can even translate when parts of the source sentences are completely removed
Fridman, Linnea, e Victoria Nordberg. "Two Multimodal Image Registration Approaches for Positioning Purposes". Thesis, Linköpings universitet, Datorseende, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157424.
Texto completo da fonteLivros sobre o assunto "Multimodal processing"
Renals, Steve, Herve Bourlard, Jean Carletta e Andrei Popescu-Belis, eds. Multimodal Signal Processing. Cambridge: Cambridge University Press, 2009. http://dx.doi.org/10.1017/cbo9781139136310.
Texto completo da fonteMaragos, Petros, Alexandros Potamianos e Patrick Gros, eds. Multimodal Processing and Interaction. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76316-3.
Texto completo da fonteRenals, Steve. Multimodal signal processing: Human interactions in meetings. Cambridge: Cambridge University Press, 2012.
Encontre o texto completo da fonteThiran, Jean-Philippe, e Hervé Bourlard. Multimodal signal processing: Theory and applications for human-computer interaction. Amsterdam: Academic, 2010.
Encontre o texto completo da fonteGavrilova, Marina L. Multimodal biometrics and intelligent image processing for security systems. Hershey, PA: Information Science Reference, 2013.
Encontre o texto completo da fonte1959-, Grifoni Patrizia, ed. Multimodal human computer interaction and pervasive services. Hershey PA: Information Science Reference, 2009.
Encontre o texto completo da fonteSappa, Angel D. Multimodal Interaction in Image and Video Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Encontre o texto completo da fonte1953-, Zimmer H. D., ed. Human memory: A multimodal approach. Seattle: Hogrefe & Huber Publishers, 1994.
Encontre o texto completo da fonteAdams, Teresa M. Guidelines for the implementation of multimodal transportation location referencing systems. Washington, D.C: National Academy Press, 2001.
Encontre o texto completo da fonteKühnel, Christine. Quantifying Quality Aspects of Multimodal Interactive Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Multimodal processing"
Huang, Lihe. "Collecting and processing multimodal data". In Toward Multimodal Pragmatics, 99–108. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003251774-5.
Texto completo da fonteGullberg, Marianne. "Studying Multimodal Language Processing". In The Routledge Handbook of Second Language Acquisition and Psycholinguistics, 137–49. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003018872-14.
Texto completo da fonteWaibel, Alex, Minh Tue Vo, Paul Duchnowski e Stefan Manke. "Multimodal Interfaces". In Integration of Natural Language and Vision Processing, 299–319. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1716-3_9.
Texto completo da fonteRivet, Bertrand, e Jonathon Chambers. "Multimodal Speech Separation". In Advances in Nonlinear Speech Processing, 1–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11509-7_1.
Texto completo da fonteNéel, Françoise D., e Wolfgang M. Minker. "Multimodal Speech Systems". In Computational Models of Speech Pattern Processing, 404–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60087-6_34.
Texto completo da fonteMaragos, Petros, Patrick Gros, Athanassios Katsamanis e George Papandreou. "Cross-Modal Integration for Performance Improving in Multimedia: A Review". In Multimodal Processing and Interaction, 1–46. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76316-3_1.
Texto completo da fonteFerecatu, Marin, Nozha Boujemaa e Michel Crucianu. "Interactive Image Retrieval Using a Hybrid Visual and Conceptual Content Representation". In Multimodal Processing and Interaction, 1–20. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76316-3_10.
Texto completo da fonteNeumayer, Robert, e Andreas Rauber. "Multimodal Analysis of Text and Audio Features for Music Information Retrieval". In Multimodal Processing and Interaction, 1–17. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76316-3_11.
Texto completo da fontePetrakis, Euripides G. M. "Intelligent Search for Image Information on the Web through Text and Link Structure Analysis". In Multimodal Processing and Interaction, 1–17. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76316-3_12.
Texto completo da fontePotamianos, Alexandros, e Manolis Perakakis. "IDesign Principles for Multimodal Spoken Dialogue Systems". In Multimodal Processing and Interaction, 1–18. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76316-3_13.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Multimodal processing"
Potamianos, Alexandros. "Cognitive Multimodal Processing". In the 2014 Workshop. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2666253.2666264.
Texto completo da fonteJohnston, Michael. "Multimodal language processing". In 5th International Conference on Spoken Language Processing (ICSLP 1998). ISCA: ISCA, 1998. http://dx.doi.org/10.21437/icslp.1998-278.
Texto completo da fonteYang, Lixin, Genshe Chen, Ronghua Xu, Sherry Chen e Yu Chen. "Decentralized autonomous imaging data processing using blockchain". In Multimodal Biomedical Imaging XIV, editado por Fred S. Azar, Xavier Intes e Qianqian Fang. SPIE, 2019. http://dx.doi.org/10.1117/12.2513243.
Texto completo da fonteBarricelli, Barbara Rita, Marco Padula e Paolo Luigi Scala. "TMS for Multimodal Information Processing". In 2009 20th International Workshop on Database and Expert Systems Application. IEEE, 2009. http://dx.doi.org/10.1109/dexa.2009.34.
Texto completo da fonteZhu, Junnan, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang e Chengqing Zong. "MSMO: Multimodal Summarization with Multimodal Output". In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/d18-1448.
Texto completo da fonteDamian, Ionut, Michael Dietz, Frank Gaibler e Elisabeth André. "Social signal processing for dummies". In ICMI '16: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2993148.2998527.
Texto completo da fonteKokkinidis, K., A. Stergiaki e A. Tsagaris. "Machine learning via multimodal signal processing". In 2017 6th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE, 2017. http://dx.doi.org/10.1109/mocast.2017.7937653.
Texto completo da fonteOviatt, Sharon. "Multimodal system processing in mobile environments". In the 13th annual ACM symposium. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/354401.354408.
Texto completo da fonteKharinov, Mikhail V., e Aleksandr N. Bykov. "Data Structure for Multimodal Signal Processing". In 2019 International Russian Automation Conference. IEEE, 2019. http://dx.doi.org/10.1109/rusautocon.2019.8867769.
Texto completo da fonteBangalore, Srinivas, e Michael Johnston. "Robust gesture processing for multimodal interaction". In the 10th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1452392.1452439.
Texto completo da fonteRelatórios de organizações sobre o assunto "Multimodal processing"
Gazzaniga, Michael S. Multimodal Interactions in Sensory-Motor Processing. Fort Belvoir, VA: Defense Technical Information Center, junho de 1992. http://dx.doi.org/10.21236/ada255780.
Texto completo da fonteHughes, H. C., P. A. Reuter-Lorenz, R. Fendrich, G. Nozawa e M. S. Gazzaniga. Multimodal Interactions in Sensory-Motor Processing. Fort Belvoir, VA: Defense Technical Information Center, setembro de 1990. http://dx.doi.org/10.21236/ada229111.
Texto completo da fonteLewandowski, Lawrence J., Susan B. Hursh e David A. Kobus. Multimodal versus Unimodal Information Processing of Words. Fort Belvoir, VA: Defense Technical Information Center, julho de 1985. http://dx.doi.org/10.21236/ada160517.
Texto completo da fonteVarshney, Pramod K. Multimodal Signal Processing for Personnel Detection and Activity Classification for Indoor Surveillance. Fort Belvoir, VA: Defense Technical Information Center, novembro de 2013. http://dx.doi.org/10.21236/ada606602.
Texto completo da fonteHamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor e Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), dezembro de 2021. http://dx.doi.org/10.21079/11681/42562.
Texto completo da fonteLee, W. S., Victor Alchanatis e Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, janeiro de 2014. http://dx.doi.org/10.32747/2014.7598158.bard.
Texto completo da fonteFederal Information Processing Standards Publication: detail specification for 62.5?m core diameter125-?m cladding diameter class IA multimode, graded-index optical waveguide fibers. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.fips.159.
Texto completo da fonteFederal Information Processing Standards Publication: detail specification for 62.5?m core diameter125-?m cladding diameter class IA multimode, graded-index optical waveguide fibers. Gaithersburg, MD: National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.fips.159-1990.
Texto completo da fonte