Literatura científica selecionada sobre o tema "Sense of recognition"
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Artigos de revistas sobre o assunto "Sense of recognition"
ASANO, TAKASHI. "Recognition of auditory sense of children." AUDIOLOGY JAPAN 40, n.º 5 (1997): 323–24. http://dx.doi.org/10.4295/audiology.40.323.
Texto completo da fonteTiwari, Niharika. "Sixth Sense Technology with Optical Character Recognition". International Journal for Research in Applied Science and Engineering Technology 9, n.º VI (30 de junho de 2021): 3394–97. http://dx.doi.org/10.22214/ijraset.2021.35714.
Texto completo da fonteMartínez del Rincón, Jesús, Maria J. Santofimia e Jean-Christophe Nebel. "Common-sense reasoning for human action recognition". Pattern Recognition Letters 34, n.º 15 (novembro de 2013): 1849–60. http://dx.doi.org/10.1016/j.patrec.2012.10.020.
Texto completo da fontevan den Bos, Esther, e Marc Jeannerod. "Sense of body and sense of action both contribute to self-recognition". Cognition 85, n.º 2 (setembro de 2002): 177–87. http://dx.doi.org/10.1016/s0010-0277(02)00100-2.
Texto completo da fonteJosephNg, P. S., e S. R. Chow. "JomAttendance: Making Facial Business Sense". Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 14, n.º 1 (31 de março de 2022): 1–5. http://dx.doi.org/10.54554/jtec.2022.14.01.001.
Texto completo da fonteKim, Seongyeop, Hyung-Il Kim e Yong Man Ro. "Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 3 (24 de março de 2024): 2786–94. http://dx.doi.org/10.1609/aaai.v38i3.28058.
Texto completo da fonteChun, Sungwoo, Inyoung Hwang, Wonkyeong Son, Joon-Hyuk Chang e Wanjun Park. "Recognition, classification, and prediction of the tactile sense". Nanoscale 10, n.º 22 (2018): 10545–53. http://dx.doi.org/10.1039/c8nr00595h.
Texto completo da fonteWang, Qiu-Feng, Erik Cambria, Cheng-Lin Liu e Amir Hussain. "Common Sense Knowledge for Handwritten Chinese Text Recognition". Cognitive Computation 5, n.º 2 (23 de agosto de 2012): 234–42. http://dx.doi.org/10.1007/s12559-012-9183-y.
Texto completo da fonteGolledge, Reginald G. "Place recognition and wayfinding: Making sense of space". Geoforum 23, n.º 2 (maio de 1992): 199–214. http://dx.doi.org/10.1016/0016-7185(92)90017-x.
Texto completo da fonteTHAVANESWARAN, SHANTI. "THE SENSE OF SCENTS". COSMOS 04, n.º 01 (maio de 2008): 39–54. http://dx.doi.org/10.1142/s0219607708000287.
Texto completo da fonteTeses / dissertações sobre o assunto "Sense of recognition"
Rashid, M. A. "Packet voice communication on carrier sense multiple access local area networks". Thesis, University of Strathclyde, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381531.
Texto completo da fonteSoriano-Morales, Edmundo-Pavel. "Hypergraphs and information fusion for term representation enrichment : applications to named entity recognition and word sense disambiguation". Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE2009/document.
Texto completo da fonteMaking sense of textual data is an essential requirement in order to make computers understand our language. To extract actionable information from text, we need to represent it by means of descriptors before using knowledge discovery techniques.The goal of this thesis is to shed light into heterogeneous representations of words and how to leverage them while addressing their implicit sparse nature.First, we propose a hypergraph network model that holds heterogeneous linguistic data in a single unified model. In other words, we introduce a model that represents words by means of different linguistic properties and links them together accordingto said properties. Our proposition differs to other types of linguistic networks in that we aim to provide a general structure that can hold several types of descriptive text features, instead of a single one as in most representations. This representationmay be used to analyze the inherent properties of language from different points of view, or to be the departing point of an applied NLP task pipeline. Secondly, we employ feature fusion techniques to provide a final single enriched representation that exploits the heterogeneous nature of the model and alleviates the sparseness of each representation.These types of techniques are regularly used exclusively to combine multimedia data. In our approach, we consider different text representations as distinct sources of information which can be enriched by themselves. This approach has not been explored before, to the best of our knowledge. Thirdly, we propose an algorithm that exploits the characteristics of the network to identify and group semantically related words by exploiting the real-world properties of the networks. In contrast with similar methods that are also based on the structure of the network, our algorithm reduces the number of required parameters and more importantly, allows for the use of either lexical or syntactic networks to discover said groups of words, instead of the singletype of features usually employed.We focus on two different natural language processing tasks: Word Sense Induction and Disambiguation (WSI/WSD), and Named Entity Recognition (NER). In total, we test our propositions on four different open-access datasets. The results obtained allow us to show the pertinence of our contributions and also give us some insights into the properties of heterogeneous features and their combinations with fusion methods. Specifically, our experiments are twofold: first, we show that using fusion-enriched heterogeneous features, coming from our proposed linguistic network, we outperform the performance of single features’ systems and other basic baselines. We note that using single fusion operators is not efficient compared to using a combination of them in order to obtain a final space representation. We show that the features added by each combined fusion operation are important towards the models predicting the appropriate classes. We test the enriched representations on both WSI/WSD and NER tasks. Secondly, we address the WSI/WSD task with our network-based proposed method. While based on previous work, we improve it by obtaining better overall performance and reducing the number of parameters needed. We also discuss the use of either lexical or syntactic networks to solve the task.Finally, we parse a corpus based on the English Wikipedia and then store it following the proposed network model. The parsed Wikipedia version serves as a linguistic resource to be used by other researchers. Contrary to other similar resources, insteadof just storing its part of speech tag and its dependency relations, we also take into account the constituency-tree information of each word analyzed. The hope is for this resource to be used on future developments without the need to compile suchresource from zero
Soh, Boon Kee. "Validation of the recognition-primed decision model and the roles of common-sense strategies in an adversarial environment". Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26173.
Texto completo da fontePh. D.
Hemati, Wahed [Verfasser], Alexander [Gutachter] Mehler e Visvanathan [Gutachter] Ramesh. "TextImager-VSD : large scale verb sense disambiguation and named entity recognition in the context of TextImager / Wahed Hemati ; Gutachter: Alexander Mehler, Visvanathan Ramesh". Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2019. http://d-nb.info/1219963224/34.
Texto completo da fonteBarwich, Ann-Sophie. "Making sense of smell : classifications and model thinking in olfaction theory". Thesis, University of Exeter, 2013. http://hdl.handle.net/10871/13869.
Texto completo da fontePapadopoulos, Savvas. "Effects of in-game advertising on brand awareness in virtual reality game interactions". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280826.
Texto completo da fonteMarknadsförare letar ständigt efter nya vägar att nå ut till en bredare målgrupp samtidigt som spelutvecklare strävar efter att utveckla spel som genererar inkomster. Denna studie undersöker hur interaktioner i Virtual Reality (VR) påverkar användares känsla av närvaro och medvetenhet gällande varumärken; specifikt vad gäller varumärkesåterkallelse och varumärkesigenkänning. En 2 (kända/okända varumärken) x 2 (hög/låg spelinteraktion) mellan-ämnesdesign har använts i en användarstudie där 40 deltagare rekryterades till att delta i ett egentillverkat VR-spel skapat i Unity. Spelet gick ut på att gå genom en virtuell stad för att hitta Stadion och samtidigt passera skyltar med statisk reklam som användaren inte informerades om i förväg. Data har samlats in genom undersökningar före och efter experimentet och två minnestester har genomförts; varumärkesåterkallelse och varumärkesigenkänning. Resultaten visar att användare som har möjlighet att interagera i större utsträckning med VR-miljön kan ha en ökad känsla av närvaro och igenkänning av kända och okända varumärken. Genom att marknadsföra i VR in-game kan marknadsförare nå ut till nya målgrupper de inte når via vanlig media samtidigt som spelutvecklare kan skapa nya inkomstströmmar i spelsessioner utan att störa användarupplevelsen.
Mendes, Pablo N. "Adaptive Semantic Annotation of Entity and Concept Mentions in Text". Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1401665504.
Texto completo da fonteGhannad, Navid. "The role of the entrepreneur in the international new venture – opening the black box". Doctoral thesis, Högskolan i Halmstad, Centre for Technology, Innovation and Marketing Management (CTIM2), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-21485.
Texto completo da fonteKelly, Lisa S. "Chemical communication during mate recognition in the harpacticoid copepod tigriopus japonicus". Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/25219.
Texto completo da fonteTalucci, Sam. "Leadership development as reflexive practice". Thesis, University of Hertfordshire, 2012. http://hdl.handle.net/2299/8966.
Texto completo da fonteLivros sobre o assunto "Sense of recognition"
Dawson, K. M. 3-D object recognition using passively sensed range data. Dublin: Trinity College, Department of Computer Science, 1991.
Encontre o texto completo da fonteTso, Brandt. Classification methods for remotely sensed data. 2a ed. Boca Raton, FL: CRC Press, 2009.
Encontre o texto completo da fonteL, Commons Michael, e Symposium on Quantitative Analyses of Behavior., eds. Behavioral approaches to pattern recognition and concept formation. Hillsdale, NJ: Erlbaum Associates, 1990.
Encontre o texto completo da fonteInternational School of Biophysics (1998 Casamicciola Terme, Italy). Neuronal coding of perceptual systems: Proceedings of the International School of Biophysics, Casamicciola, Napoli, Italy, 12-17 October 1998. New Jersey: World Scientific, 2001.
Encontre o texto completo da fonteL, Commons Michael, e Symposium on Quantitative Analyses of Behavior. (8th : 1985 : Harvard University), eds. Computational and clinical approaches to pattern recognition and concept formation. Hillsdale, N.J: Lawrence Erlbaum Associates, 1990.
Encontre o texto completo da fonteFrisch-Schmoll, Joy. In and out. North Mankato, Minn: Capstone Press, 2013.
Encontre o texto completo da fonteFrisch-Schmoll, Joy. Top and bottom. North Mankato, Minn: Capstone Press, 2013.
Encontre o texto completo da fonteBryan, Denese. Early Learner Math Workbook K-2 : Skill Areas: Number Recognition, Counting, Number Sense, Writing Numbers, Patterns, Addition and Subtraction. Plus More! Independently Published, 2021.
Encontre o texto completo da fonteBridge, Greg. Yes, Health Matters in the Workplace: How a Healthy Workplace Culture Will Always Provide a Sense of Acceptance, Recognition, Belonging, Acknowledgment and Care. Shanti Yatra, 2019.
Encontre o texto completo da fonteBridge, Gregory Payne. Yes, Health Matters in the Workplace: How a healthy workplace culture will always provide a sense of acceptance, recognition, belonging, acknowledgement and care. White Light Publishing, 2019.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Sense of recognition"
Tickoo, Omesh, e Ravi Iyer. "Multimodal Recognition". In Making Sense of Sensors, 43–55. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4302-6593-1_3.
Texto completo da fonteTickoo, Omesh, e Ravi Iyer. "Contextual Recognition". In Making Sense of Sensors, 57–66. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4302-6593-1_4.
Texto completo da fonteTickoo, Omesh, e Ravi Iyer. "From Data to Recognition". In Making Sense of Sensors, 17–41. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4302-6593-1_2.
Texto completo da fonteSaeidi, Mozhgan, Evangelos Milios e Norbert Zeh. "Contextualized Knowledge Base Sense Embeddings in Word Sense Disambiguation". In Document Analysis and Recognition – ICDAR 2021 Workshops, 174–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86159-9_12.
Texto completo da fonteKohli, Harsh. "Training Bi-Encoders for Word Sense Disambiguation". In Document Analysis and Recognition – ICDAR 2021, 823–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86331-9_53.
Texto completo da fonteOrtiz-Meoz, Rodrigo F., Shan L. He, Hani S. Zaher e Rachel Green. "Sense and nonsense recognition by the ribosome". In Ribosomes, 213–23. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0215-2_17.
Texto completo da fontePinto, David, Darnes Vilariño, Carlos Balderas, Mireya Tovar e Beatriz Beltrán. "A Naïve Bayes Approach to Cross-Lingual Word Sense Disambiguation and Lexical Substitution". In Advances in Pattern Recognition, 352–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15992-3_37.
Texto completo da fonteNi, Shengjian, Yichen Chen e Donghong Ji. "Conventionalizing Common Sense for Chinese Textual Entailment Recognition". In Lecture Notes in Computer Science, 286–95. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14331-6_29.
Texto completo da fontePoria, Soujanya, Alexandar Gelbukh, Basant Agarwal, Erik Cambria e Newton Howard. "Common Sense Knowledge Based Personality Recognition from Text". In Lecture Notes in Computer Science, 484–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45111-9_42.
Texto completo da fontePoria, Soujanya, Alexander Gelbukh, Basant Agarwal, Erik Cambria e Newton Howard. "Erratum: Common Sense Knowledge Based Personality Recognition from Text". In Lecture Notes in Computer Science, E1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45111-9_46.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Sense of recognition"
Fan, Dongmei, Zhimao Lu, Guobin Cheng e Rubo Zhang. "Word Sense Discrimination Based on Word-Sense Category Extending". In 2009 Chinese Conference on Pattern Recognition (CCPR). IEEE, 2009. http://dx.doi.org/10.1109/ccpr.2009.5344018.
Texto completo da fonteHuang, Jie, Wengang Zhou, Houqiang Li e Weiping Li. "Sign language recognition using real-sense". In 2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP). IEEE, 2015. http://dx.doi.org/10.1109/chinasip.2015.7230384.
Texto completo da fonteSantofimia, M. J., X. del Toro, J. Barba, F. J. Villanueva e J. C. Lopez. "Leveraging Common-Sense in Human Activity Recognition". In 2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. IEEE, 2011. http://dx.doi.org/10.1109/3pgcic.2011.41.
Texto completo da fonteLiao, Xianglong M., e Zhiguo Cao. "Analysis of image segmentation aimed for sense matching". In Multispectral Image Processing and Pattern Recognition, editado por Tianxu Zhang, Bir Bhanu e Ning Shu. SPIE, 2001. http://dx.doi.org/10.1117/12.441432.
Texto completo da fontePyatkin, Valentina, e Bonnie Webber. "Discourse Relations and Conjoined VPs: Automated Sense Recognition". In Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/e17-4004.
Texto completo da fonteOka, Yui, e Tsutomu Hirao. "Implicit Sense-labeled Connective Recognition as Text Generation". In Findings of the Association for Computational Linguistics: EMNLP 2023. Stroudsburg, PA, USA: Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.findings-emnlp.487.
Texto completo da fonteSavva, Manolis, Angel X. Chang e Pat Hanrahan. "Semantically-enriched 3D models for common-sense knowledge". In 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2015. http://dx.doi.org/10.1109/cvprw.2015.7301289.
Texto completo da fonteChen, Xinlei, Alan Ritter, Abhinav Gupta e Tom Mitchell. "Sense discovery via co-clustering on images and text". In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2015. http://dx.doi.org/10.1109/cvpr.2015.7299167.
Texto completo da fonteLanneau, Sylvain, Vincent Lebastard e Frederic Boyer. "Object shape recognition using electric sense and ellipsoid's polarization tensor". In 2016 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2016. http://dx.doi.org/10.1109/icra.2016.7487670.
Texto completo da fonteKim, Jiho, Soonhee Kwon e Dong-Joon Shin. "Statistical Approach for Blind Recognition of Narrow-sense BCH Codes". In 2018 International Conference on Network Infrastructure and Digital Content (IC-NIDC). IEEE, 2018. http://dx.doi.org/10.1109/icnidc.2018.8525647.
Texto completo da fonteRelatórios de organizações sobre o assunto "Sense of recognition"
Salonen, Hilma. Between hand-outs and stand-outs: Opportunities for policy support for just green transitions. Nordregio, janeiro de 2024. http://dx.doi.org/10.6027/pb2024:1.2001-3876.
Texto completo da fonteFriedman, Yuval, e Israel (Issi) Doron. Ageism and disaster situations - The case of Covid-19: A scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, maio de 2022. http://dx.doi.org/10.37766/inplasy2022.5.0148.
Texto completo da fonteButler, Nadia, e Soha Karam. Key Considerations for Integrating COVID-19 Vaccination Services: Insights from Iraq and Syria for the MENA Region. SSHAP, setembro de 2022. http://dx.doi.org/10.19088/sshap.2022.034.
Texto completo da fonteHenderson, Tim, Vincent Santucci, Tim Connors e Justin Tweet. National Park Service geologic type section inventory: Southern Plains Inventory & Monitoring Network. National Park Service, junho de 2022. http://dx.doi.org/10.36967/nrr-2293756.
Texto completo da fonteHenderson, Tim, Vincent Santucci, Tim Connors e Justin Tweet. National Park Service geologic type section inventory: Sonoran Desert Inventory & Monitoring Network. National Park Service, setembro de 2022. http://dx.doi.org/10.36967/2294374.
Texto completo da fonteCoplin, David, Isaac Barash e Shulamit Manulis. Role of Proteins Secreted by the Hrp-Pathways of Erwinia stewartii and E. herbicola pv. gypsophilae in Eliciting Water-Soaking Symptoms and Initiating Galls. United States Department of Agriculture, junho de 2001. http://dx.doi.org/10.32747/2001.7580675.bard.
Texto completo da fonteEyal, Yoram, e Sheila McCormick. Molecular Mechanisms of Pollen-Pistil Interactions in Interspecific Crossing Barriers in the Tomato Family. United States Department of Agriculture, maio de 2000. http://dx.doi.org/10.32747/2000.7573076.bard.
Texto completo da fonteHenderson, Tim, Vincent Santucci, Tim Connors e Justin Tweet. National Park Service geologic type section inventory: National Capital Region Inventory & Monitoring Network. National Park Service, julho de 2022. http://dx.doi.org/10.36967/2293865.
Texto completo da fonteShifting power in global health: Decolonising discourses - series synthesis. United Nations University - International Institute for Global Health, Development Reimagined, Wilton Park, 2022. http://dx.doi.org/10.37941/mr-f/2022/3.
Texto completo da fonte