Literatura académica sobre el tema "Multimodal Concepts"
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Artículos de revistas sobre el tema "Multimodal Concepts"
Van der Linden, P. "Multimodal Blood Sparing Concepts". ains · Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie 36, Suppl 2 (noviembre de 2001): 101. http://dx.doi.org/10.1055/s-2001-18197.
Texto completoMangin, Olivier. "Multimodal concepts for social robots". AI Matters 3, n.º 1 (25 de mayo de 2017): 19–20. http://dx.doi.org/10.1145/3054837.3054844.
Texto completoMangin, Olivier. "Multimodal concepts for social robots". AI Matters 3, n.º 1 (20 de marzo de 2017): 19–20. http://dx.doi.org/10.1145/3067682.3067688.
Texto completoGulen, Elvan, Turgay Yilmaz y Adnan Yazici. "Multimodal Information Fusion for Semantic Video Analysis". International Journal of Multimedia Data Engineering and Management 3, n.º 4 (octubre de 2012): 52–74. http://dx.doi.org/10.4018/jmdem.2012100103.
Texto completoWust, P., B. Rau, M. Gremmler, P. Schlag, A. Jordan, J. Löffel, H. Riess y R. Felix. "Radio-Thermotherapy in Multimodal Surgical Treatment Concepts". Oncology Research and Treatment 18, n.º 2 (1995): 110–21. http://dx.doi.org/10.1159/000218570.
Texto completoLedezma, Carlos J. y Max Wintermark. "Multimodal CT in Stroke Imaging: New Concepts". Radiologic Clinics of North America 47, n.º 1 (enero de 2009): 109–16. http://dx.doi.org/10.1016/j.rcl.2008.10.008.
Texto completoVidosavljević, Milena. "Multimodal and digital literacy as new concepts in education". Zbornik radova Filozofskog fakulteta u Pristini 52, n.º 4 (2022): 129–44. http://dx.doi.org/10.5937/zrffp52-37477.
Texto completoLou, Adrian. "Multimodal simile". English Text Construction 10, n.º 1 (15 de junio de 2017): 106–31. http://dx.doi.org/10.1075/etc.10.1.06lou.
Texto completoShcherbin, Vyacheslav K. "Methods of modelling of socio-economic phenomena – method of constructing multiple spirals and multimodal analysis". Journal of the Belarusian State University. Sociology, n.º 4 (16 de diciembre de 2021): 15–25. http://dx.doi.org/10.33581/2521-6821-2021-4-15-25.
Texto completoDaulay, Nahdyah Sari, SitiIsma Sari Lubis y Widya Wulandari. "MULTIMODAL METAPHOR IN ADVERTISEMENT". AICLL: ANNUAL INTERNATIONAL CONFERENCE ON LANGUAGE AND LITERATURE 1, n.º 1 (17 de abril de 2018): 170–75. http://dx.doi.org/10.30743/aicll.v1i1.24.
Texto completoTesis sobre el tema "Multimodal Concepts"
Schmüdderich, Jens M. [Verfasser]. "Multimodal Learning of Grounded Concepts in Embodied Systems / Jens M Schmüdderich". Aachen : Shaker, 2010. http://d-nb.info/1120864771/34.
Texto completoNguyen, Nhu Van. "Représentations visuelles de concepts textuels pour la recherche et l'annotation interactives d'images". Phd thesis, Université de La Rochelle, 2011. http://tel.archives-ouvertes.fr/tel-00730707.
Texto completoFeuerstein, Marco. "Augmented reality in laparoscopic surgery new concepts and methods for intraoperative multimodal imaging and hybrid tracking in computer aided surgery". Saarbrücken VDM Verlag Dr. Müller, 2007. http://d-nb.info/991301250/04.
Texto completoMangin, Olivier. "Emergence de concepts multimodaux : de la perception de mouvements primitifs à l'ancrage de mots acoustiques". Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0002/document.
Texto completoThis thesis focuses on learning recurring patterns in multimodal perception. For that purpose it develops cognitive systems that model the mechanisms providing such capabilities to infants; a methodology that fits into thefield of developmental robotics.More precisely, this thesis revolves around two main topics that are, on the one hand the ability of infants or robots to imitate and understand human behaviors, and on the other the acquisition of language. At the crossing of these topics, we study the question of the how a developmental cognitive agent can discover a dictionary of primitive patterns from its multimodal perceptual flow. We specify this problem and formulate its links with Quine's indetermination of translation and blind source separation, as studied in acoustics.We sequentially study four sub-problems and provide an experimental formulation of each of them. We then describe and test computational models of agents solving these problems. They are particularly based on bag-of-words techniques, matrix factorization algorithms, and inverse reinforcement learning approaches. We first go in depth into the three separate problems of learning primitive sounds, such as phonemes or words, learning primitive dance motions, and learning primitive objective that compose complex tasks. Finally we study the problem of learning multimodal primitive patterns, which corresponds to solve simultaneously several of the aforementioned problems. We also details how the last problems models acoustic words grounding
Myers, Isaac [Verfasser]. "Improved survival of patients with HCC through new therapeutic options and the use of multimodal therapy concepts : data from a large German university hospital / Isaac Myers". Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2014. http://d-nb.info/1061023567/34.
Texto completoDíaz, Silva Luis Eduardo y Antezana Diego Federico Rioseco. "El transporte multimodal: concepto, problemática y proyección". Tesis, Universidad de Chile, 2001. http://www.repositorio.uchile.cl/handle/2250/114557.
Texto completoEl éxito de las transacciones comerciales nacionales e internacionales depende, entre muchos otros factores, de la eficiencia de las cadenas de transporte de las mercaderías transadas. En la actualidad el transporte ha tenido que adaptarse a las exigencias de la “nueva economía”, cuya demanda por la integración económica, permiten la creación de la figura jurídica del transporte multimodal de mercancías. El transporte multimodal de mercancías es aquel por el cual se transportan mercancías, por dos o más modos diferentes de transporte, de acuerdo a un sólo contrato. La presente obra tiene como objetivo presentar e introducir el novedoso concepto del transporte multimodal, diferenciándolo del tradicional transporte unimodal y segmentado; plantear sus actuales dificultades y divergencias, como también proponer los cambios necesarios para la implementación del mismo como nuevo sistema de transporte que aporte al crecimiento económico de los países en vías de desarrollo.
Bellik, Yacine. "Interfaces multimodales : concepts, modeles et architectures". Paris 11, 1995. http://www.theses.fr/1995PA112178.
Texto completoHalonen, Maria. "Design för lärande och multimodala texter i svenskämnet : En produktorienterad studie av två läromedel i svenska". Thesis, Högskolan i Gävle, Avdelningen för humaniora, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-18844.
Texto completoLiu, Yuanting. "Multimodal interaction: developing an interaction concept for a touchscreen incorporating tactile feedback". Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-138991.
Texto completoLiu, Ningning. "Contributions to generic and affective visual concept recognition". Thesis, Ecully, Ecole centrale de Lyon, 2013. http://www.theses.fr/2013ECDL0038.
Texto completoThis Ph.D thesis is dedicated to visual concept recognition (VCR). Due to many realistic difficulties, it is still considered to be one of the most challenging problems in computer vision and pattern recognition. In this context, we have proposed some innovative contributions for the task of VCR, particularly in building multimodal approaches that efficiently combine visual and textual information. Firstly, we have proposed semantic features for VCR and have investigated the efficiency of different types of low-level visual features for VCR including color, texture and shape. Specifically, we believe that different concepts require different features to efficiently characterize them for the recognition. Therefore, we have investigated in the context of VCR various visual representations, not only global features including color, shape and texture, but also the state-of-the-art local visual descriptors such as SIFT, Color SIFT, HOG, DAISY, LBP, Color LBP. To help bridging the semantic gap between low-level visual features and high level semantic concepts, and particularly those related to emotions and feelings, we have proposed mid-level visual features based on the visual harmony and dynamism semantics using Itten’s color theory and psychological interpretations. Moreover, we have employed a spatial pyramid strategy to capture the spatial information when building our mid-level features harmony and dynamism. We have also proposed a new representation of color HSV histograms by employing a visual attention model to identify the regions of interest in images. Secondly, we have proposed a novel textual feature designed for VCR. Indeed, most of online-shared photos provide textual descriptions in the form of tags or legends. In fact, these textual descriptions are a rich source of semantic information on visual data that is interesting to consider for the purpose of VCR or multimedia information retrieval. We propose the Histograms of Textual Concepts (HTC) to capture the semantic relatedness of concepts. The general idea behind HTC is to represent a text document as a histogram of textual concepts towards a vocabulary or dictionary, whereas its value is the accumulation of the contribution of each word within the text document toward the underlying concept according to a predefined semantic similarity measure. Several variants of HTC have been proposed that revealed to be very efficient for VCR. Inspired by the Cepstral speech analysis process, we have also developed Cepstral HTC to capture both term frequency-based information (like TF-IDF) and the relatedness of semantic concepts in the sparse image tags, which overcomes the HTC’s shortcoming of ignoring term frequency-based information. Thirdly, we have proposed a fusion scheme to combine different sources of Later Fusion, (SWLF) is designed to select the best features and to weight their scores for each concept to be recognized. SWLF proves particularly efficient for fusing visual and textual modalities in comparison with some other standard fusion schemes. While a late fusion at score level is reputed as a simple and effective way to fuse features of different nature for machine-learning problems, the proposed SWLF builds on two simple insights. First, the score delivered by a feature type should be weighted by its intrinsic quality for the classification problem at hand. Second, in a multi-label scenario where several visual concepts may be assigned to an image, different visual concepts may require different features which best recognize them. In addition to SWLF, we also propose a novel combination approach based on Dempster-Shafer’s evidence theory, whose interesting properties allow fusing different ambiguous sources of information for visual affective recognition. [...]
Libros sobre el tema "Multimodal Concepts"
Brown, J. Martin, Minesh P. Mehta y Carsten Nieder, eds. Multimodal Concepts for Integration of Cytotoxic Drugs. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-35662-2.
Texto completoPattern Mining and Concept Discovery for Multimodal Content Analysis. [New York, N.Y.?]: [publisher not identified], 2016.
Buscar texto completoNes, Ir R. Design of multimodal transport systems: Setting the scene, review of literature and basic concept. Delft: TRAIL Research School, 2000.
Buscar texto completoMehta, M. P., L. W. Brady, J. M. Brown, C. Nieder y H. P. Heilmann. Multimodal Concepts for Integration of Cytotoxic Drugs. Springer Berlin / Heidelberg, 2010.
Buscar texto completoGórska, Elżbieta. Understanding Abstract Concepts across Modes in Multimodal Discourse. Routledge, 2019. http://dx.doi.org/10.4324/9780429282737.
Texto completoGórska, Elzbieta. Understanding Abstract Concepts Across Modes in Multimodal Discourse. Taylor & Francis Group, 2021.
Buscar texto completoUnderstanding Abstract Concepts Across Modes in Multimodal Discourse. Taylor & Francis Group, 2019.
Buscar texto completoMultimodal Concepts for Integration of Cytotoxic Drugs (Medical Radiology). Springer, 2006.
Buscar texto completo(Foreword), L. W. Brady, H. P. Heilmann (Foreword), M. Molls (Foreword), J. M. Brown (Editor), M. P. Mehta (Editor) y C. Nieder (Editor), eds. Multimodal Concepts for Integration of Cytotoxic Drugs (Medical Radiology / Radiation Oncology). Springer, 2006.
Buscar texto completoGórska, Elżbieta. Understanding Abstract Concepts Across Modes in Multimodal Discourse: A Cognitive Linguistic Approach. Taylor & Francis Group, 2019.
Buscar texto completoCapítulos de libros sobre el tema "Multimodal Concepts"
Sheppard, Jennifer. "Issues in Digital and Multimodal Writing". En Concepts in Composition, 379–445. Third edition. | New York : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780203728659-10.
Texto completoCarroll, Michael A. y Ema C. Yamamoto. "Level of Service Concepts in Multimodal Environments". En Traffic Engineering Handbook, 149–76. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2016. http://dx.doi.org/10.1002/9781119174738.ch5.
Texto completoHürst, Wolfgang y Casper van Wezel. "Multimodal Interaction Concepts for Mobile Augmented Reality Applications". En Lecture Notes in Computer Science, 157–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17829-0_15.
Texto completoGhasemAghaei, Reza, Ali Arya y Robert Biddle. "MADE Ratio: Affective Multimodal Software for Mathematical Concepts". En Lecture Notes in Computer Science, 487–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39483-1_44.
Texto completoStopka, Ulrike. "Multimodal Mobility Packages – Concepts and Methodological Design Approaches". En HCI in Mobility, Transport, and Automotive Systems. Driving Behavior, Urban and Smart Mobility, 318–39. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50537-0_24.
Texto completoFyles, Anthony W., Michael Milosevic y Amit Oza. "Applications to Gynecological Cancers". En Multimodal Concepts for Integration of Cytotoxic Drugs, 303–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-35662-2_20.
Texto completoSignorello, Giovanni, Giovanni Maria Farinella, Giovanni Gallo, Luciano Santo, Antonino Lopes y Emanuele Scuderi. "Exploring Protected Nature Through Multimodal Navigation of Multimedia Contents". En Advanced Concepts for Intelligent Vision Systems, 841–52. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25903-1_72.
Texto completoChetty, Girija, Julian Goodwin y Monica Singh. "Digital Image Tamper Detection Based on Multimodal Fusion of Residue Features". En Advanced Concepts for Intelligent Vision Systems, 79–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17691-3_8.
Texto completoLinebarger, Deborah L. y Lori Norton-Meier. "Scientific Concepts, Multiple Modalities, and Young Children". En Using Multimodal Representations to Support Learning in the Science Classroom, 97–116. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16450-2_6.
Texto completoÁlvarez-Carmona, Miguel Á., Esaú Villatoro-Tello, Luis Villaseñor-Pineda y Manuel Montes-y-Gómez. "Classifying the Social Media Author Profile Through a Multimodal Representation". En Intelligent Technologies: Concepts, Applications, and Future Directions, 57–81. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1021-0_3.
Texto completoActas de conferencias sobre el tema "Multimodal Concepts"
Wang, Zhichun y Minqiang Li. "A Coevolution Approach for Learning Multimodal Concepts". En Third International Conference on Natural Computation (ICNC 2007). IEEE, 2007. http://dx.doi.org/10.1109/icnc.2007.12.
Texto completoRajaby Faghihi, Hossein, Roshanak Mirzaee, Sudarshan Paliwal y Parisa Kordjamshidi. "Latent Alignment of Procedural Concepts in Multimodal Recipes". En Proceedings of the First Workshop on Advances in Language and Vision Research. Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.alvr-1.5.
Texto completoLi, PengYuan y YongLi Wang. "A Multimodal Entity Linking Approach Incorporating Topic Concepts". En 2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI). IEEE, 2021. http://dx.doi.org/10.1109/cisai54367.2021.00100.
Texto completoMaiera, Kathrin, Jürgen Hellbrücka y Heike Sacherb. "A Visuohaptic Collision Warning Approach for High-Priority Braking Scenarios". En Applied Human Factors and Ergonomics Conference. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100751.
Texto completoNakamura, Tomoaki, Takayuki Nagai y Naoto Iwahashi. "Grounding of word meanings in multimodal concepts using LDA". En 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009). IEEE, 2009. http://dx.doi.org/10.1109/iros.2009.5354736.
Texto completoZhu, Qiang, Mei-Chen Yeh y Kwang-Ting Cheng. "Multimodal fusion using learned text concepts for image categorization". En the 14th annual ACM international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1180639.1180698.
Texto completoCalabrese, Agostina, Michele Bevilacqua y Roberto Navigli. "EViLBERT: Learning Task-Agnostic Multimodal Sense Embeddings". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/67.
Texto completoChaplot, Devendra Singh, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh y Dhruv Batra. "Embodied Multimodal Multitask Learning". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/338.
Texto completoWang, Liming y Mark A. Hasegawa-Johnson. "Multimodal Word Discovery and Retrieval with Phone Sequence and Image Concepts". En Interspeech 2019. ISCA: ISCA, 2019. http://dx.doi.org/10.21437/interspeech.2019-1487.
Texto completoBendre, Nihar, Kevin Desai y Peyman Najafirad. "Generalized Zero-Shot Learning Using Multimodal Variational Auto-Encoder With Semantic Concepts". En 2021 IEEE International Conference on Image Processing (ICIP). IEEE, 2021. http://dx.doi.org/10.1109/icip42928.2021.9506108.
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