Academic literature on the topic 'Multi-modal studies'

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Journal articles on the topic "Multi-modal studies"

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Wang, Yang. "Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 1s (March 31, 2021): 1–25. http://dx.doi.org/10.1145/3408317.

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With the development of web technology, multi-modal or multi-view data has surged as a major stream for big data, where each modal/view encodes individual property of data objects. Often, different modalities are complementary to each other. This fact motivated a lot of research attention on fusing the multi-modal feature spaces to comprehensively characterize the data objects. Most of the existing state-of-the-arts focused on how to fuse the energy or information from multi-modal spaces to deliver a superior performance over their counterparts with single modal. Recently, deep neural networks have been exhibited as a powerful architecture to well capture the nonlinear distribution of high-dimensional multimedia data, so naturally does for multi-modal data. Substantial empirical studies are carried out to demonstrate its advantages that are benefited from deep multi-modal methods, which can essentially deepen the fusion from multi-modal deep feature spaces. In this article, we provide a substantial overview of the existing state-of-the-arts in the field of multi-modal data analytics from shallow to deep spaces. Throughout this survey, we further indicate that the critical components for this field go to collaboration, adversarial competition, and fusion over multi-modal spaces. Finally, we share our viewpoints regarding some future directions in this field.
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Bianchi, Matteo, Robert Haschke, Gereon Büscher, Simone Ciotti, Nicola Carbonaro, and Alessandro Tognetti. "A Multi-Modal Sensing Glove for Human Manual-Interaction Studies." Electronics 5, no. 4 (July 20, 2016): 42. http://dx.doi.org/10.3390/electronics5030042.

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James, T. W., and I. Gauthier. "fMRI studies of multi-modal semantic knowledge using artificial concepts." Journal of Vision 3, no. 9 (March 16, 2010): 197. http://dx.doi.org/10.1167/3.9.197.

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Zhang, Dong, Xincheng Ju, Wei Zhang, Junhui Li, Shoushan Li, Qiaoming Zhu, and Guodong Zhou. "Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 16 (May 18, 2021): 14338–46. http://dx.doi.org/10.1609/aaai.v35i16.17686.

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As an important research issue in affective computing community, multi-modal emotion recognition has become a hot topic in the last few years. However, almost all existing studies perform multiple binary classification for each emotion with focus on complete time series data. In this paper, we focus on multi-modal emotion recognition in a multi-label scenario. In this scenario, we consider not only the label-to-label dependency, but also the feature-to-label and modality-to-label dependencies. Particularly, we propose a heterogeneous hierarchical message passing network to effectively model above dependencies. Furthermore, we propose a new multi-modal multi-label emotion dataset based on partial time-series content to show predominant generalization of our model. Detailed evaluation demonstrates the effectiveness of our approach.
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Irfan, Bahar, Michael Garcia Ortiz, Natalia Lyubova, and Tony Belpaeme. "Multi-modal Open World User Identification." ACM Transactions on Human-Robot Interaction 11, no. 1 (March 31, 2022): 1–50. http://dx.doi.org/10.1145/3477963.

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User identification is an essential step in creating a personalised long-term interaction with robots. This requires learning the users continuously and incrementally, possibly starting from a state without any known user. In this article, we describe a multi-modal incremental Bayesian network with online learning, which is the first method that can be applied in such scenarios. Face recognition is used as the primary biometric, and it is combined with ancillary information, such as gender, age, height, and time of interaction to improve the recognition. The Multi-modal Long-term User Recognition Dataset is generated to simulate various human-robot interaction (HRI) scenarios and evaluate our approach in comparison to face recognition, soft biometrics, and a state-of-the-art open world recognition method (Extreme Value Machine). The results show that the proposed methods significantly outperform the baselines, with an increase in the identification rate up to 47.9% in open-set and closed-set scenarios, and a significant decrease in long-term recognition performance loss. The proposed models generalise well to new users, provide stability, improve over time, and decrease the bias of face recognition. The models were applied in HRI studies for user recognition, personalised rehabilitation, and customer-oriented service, which showed that they are suitable for long-term HRI in the real world.
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Sezerer, Erhan, and Selma Tekir. "Incorporating Concreteness in Multi-Modal Language Models with Curriculum Learning." Applied Sciences 11, no. 17 (September 6, 2021): 8241. http://dx.doi.org/10.3390/app11178241.

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Over the last few years, there has been an increase in the studies that consider experiential (visual) information by building multi-modal language models and representations. It is shown by several studies that language acquisition in humans starts with learning concrete concepts through images and then continues with learning abstract ideas through the text. In this work, the curriculum learning method is used to teach the model concrete/abstract concepts through images and their corresponding captions to accomplish multi-modal language modeling/representation. We use the BERT and Resnet-152 models on each modality and combine them using attentive pooling to perform pre-training on the newly constructed dataset, which is collected from the Wikimedia Commons based on concrete/abstract words. To show the performance of the proposed model, downstream tasks and ablation studies are performed. The contribution of this work is two-fold: A new dataset is constructed from Wikimedia Commons based on concrete/abstract words, and a new multi-modal pre-training approach based on curriculum learning is proposed. The results show that the proposed multi-modal pre-training approach contributes to the success of the model.
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Blinowska, Katarzyna, Gernot Müller-Putz, Vera Kaiser, Laura Astolfi, Katrien Vanderperren, Sabine Van Huffel, and Louis Lemieux. "Multimodal Imaging of Human Brain Activity: Rational, Biophysical Aspects and Modes of Integration." Computational Intelligence and Neuroscience 2009 (2009): 1–10. http://dx.doi.org/10.1155/2009/813607.

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Until relatively recently the vast majority of imaging and electrophysiological studies of human brain activity have relied on single-modality measurements usually correlated with readily observable or experimentally modified behavioural or brain state patterns. Multi-modal imaging is the concept of bringing together observations or measurements from different instruments. We discuss the aims of multi-modal imaging and the ways in which it can be accomplished using representative applications. Given the importance of haemodynamic and electrophysiological signals in current multi-modal imaging applications, we also review some of the basic physiology relevant to understanding their relationship.
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Cheetham, Dominic. "Multi-modal language input: A learned superadditive effect." Applied Linguistics Review 10, no. 2 (May 26, 2019): 179–200. http://dx.doi.org/10.1515/applirev-2017-0036.

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AbstractReview of psychological and language acquisition research into seeing faces while listening, seeing gesture while listening, illustrated text, reading while listening, and same language subtitled video, confirms that bi-modal input has a consistently positive effect on language learning over a variety of input types. This effect is normally discussed using a simple additive model where bi-modal input increases the total amount of data and adds redundancy to duplicated input thus increasing comprehension and then learning. Parallel studies in neuroscience suggest that bi-modal integration is a general effect using common brain areas and following common neural paths. Neuroscience also shows that bi-modal effects are more complex than simple addition, showing early integration of inputs, a learning/developmental effect, and a superadditive effect for integrated bi-modal input. The different bodies of research produce a revised model of bi-modal input as a learned, active system. The implications for language learning are that bi- or multi-modal input can powerfully enhance language learning and that the learning benefits of such input will increase alongside the development of neurological integration of the inputs.
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Gunaydin, Kadir, Ahmet Yavuz, and Aykut Tamer. "Free Vibration Characteristics of Multi-Material Lattice Structures." Vibration 6, no. 1 (January 16, 2023): 82–101. http://dx.doi.org/10.3390/vibration6010007.

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This paper presents a modal analysis of honeycomb and re-entrant lattice structures to understand the change in natural frequencies when multi-material configuration is implemented. For this purpose, parallel nylon ligaments within re-entrant and honeycomb lattice structures are replaced with chopped and continuous carbon fibre to constitute multi-material lattice configurations. For each set, the first five natural frequencies were compared using detailed finite element models. For each configuration, three different boundary conditions were considered, which are free–free and clamping at the two sides that are parallel and perpendicular to the vertical parts of the structure. The comparison of the natural frequencies was based on mode-shape matching using modal assurance criteria to identify the correct modes of different configurations. The results showed that the natural frequency of the multi-material configurations increases from 4% to 18% depending on the configuration and material.
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Harvie, Jen. "“A Multi-modal and Durational Praxis of Decolonization”: Performance Studies in Canada." Canadian Theatre Review 176 (September 2018): 115–17. http://dx.doi.org/10.3138/ctr.176.023.

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Dissertations / Theses on the topic "Multi-modal studies"

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Chen, Jiajun. "Modal optical studies of multi-moded ultra-low-noise detectors in far-infrared." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/270352.

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In this thesis, I have developed a range of theoretical and numerical techniques for modelling the behaviour of partially coherent optical systems and multi-mode detectors. The numerical simulations were carried out for the ultra-low-noise Transition Edge Sensors (TESs) being proposed for use on the SAFARI instrument on the cooled aperture infrared space telescope SPICA (34 - 210 μm). The optical behaviour of the SAFARI system is described in terms of the optical modes of the telescope, as distinct from the optical modes of the detector. The performance of the TESs were assessed in terms of signal power, background power and photon noise. To establish a method for precisely characterising and calibrating ultra-low-noise TESs, a cryogenic test system was designed and engineered to measure the optical efficiencies of the SAFARI TESs. The multi-mode, partially coherent illumination conditions of the measurement system were engineered to be precisely the same as those of the telescope. A major difference between the test system and the telescope’s optics is that the telescope will have focusing elements, but the test system was designed to avoid focusing elements in order to keep the optical path as clean as possible. The theoretical formalism and numerical models were adapted accordingly to address this difference. The numerical simulations show that the test system could provide near identical optical performance as that of the telescope system even though the focusing elements were absent. I also performed experimental measurements to investigate the optical efficiencies of the multi-mode TESs. The detectors worked exceedingly well in all respects with satisfactory optical efficiencies. In addition, it has been shown that the optical model provides a good description of the optical behaviour of the test system and detectors. Further modal analysis was developed to study losses in the multi-mode horns. The optical behaviour of the waveguide-mounted thin absorbing films in the far-infrared was modelled using a mode-matching method.
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Partin, Michael. "Scalable, Pluggable, and Fault Tolerant Multi-Modal Situational Awareness Data Stream Management Systems." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1567073723628721.

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Hua, Ning. "Studies in multi-modal cardiovascular imaging: cardiovascular MRI in humans and targeted fluorescence in an animal model of atherosclerosis." Thesis, Boston University, 2012. https://hdl.handle.net/2144/12425.

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Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.
Cardiovascular disease (CVD) remains the leading cause of mortality and morbidity in the United States. It encompasses a variety of conditions that involve the heart and/or the vascular system, including coronary heart disease, ischemic heart disease, cardiomyopathy, atherosclerosis and stroke. Understanding the risk factors and mechanisms underlying CVD as well as developing early diagnostic methods has great clinical importance. In this thesis work, we used Magnetic Resonance Imaging (MRI) and studied two aspects of CVD. Firstly, we explored the regional influence of pericardial/periaortic fat on the underlying organs in human subjects. Pericardial fat volume did not correlate with BMI in either obese or control subjects. Left ventricular (LV) function, including stroke volume (r=-0.29, p=0.04) and cardiac output (r=-0.33, p=0.02), was inversely related to LV fat but not right ventricular (RV) fat. LV diastolic function, including early filling rate (E-rate), early/late filling ratio (E/A), showed a stronger correlation to LV fat (E-rate, r=-0.41, p=0.005; E/A, r=-0.31, p=0.04) than RV fat. This evidence suggests local toxic effects of pericardia! fat on cardiac structure/function. Periaortic fat was also found positively linked to plaque volume, which suggests a paracrine role of periaortic fat in atherogenesis. Secondly, we combined in vivo MRI and ex vivo targeted fluorescence imaging to detect vulnerable plaques (VPs) in a rabbit model. The fluorescence signal from enzyme-activated targeted probes (PLGLAG-cy5 and DPRSFL-cy5) co-localized most strongly with vulnerable aortic plaques as detected by MRI. Statistically, fluorescence signal was enhanced (by 40-60%) in VPs as compared to stable ones. In addition, the fluorescence signal was related to the MRI plaque vulnerability measurements, such as outward remodeling and enhanced gadolinium uptake. The combination of MRI and targeted molecular imaging can help us to understand both plaque morphology and functionality, which in turn can increase the diagnostic accuracy of the vulnerable plaques. In conclusion, we identified local toxic effect of regional fat depots on cardiovascular function using MRI. We also demonstrated MRI is a powerful technique in studying CVD. Combination of MRI and molecular imaging can help us understand the morphology and function of the atherosclerotic plaques, which might help early detection of VPs.
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Mashalaba, Eugenia Dudu. "The evaluation of a multi-modal cognitive-behavioural approach to treating an adolescent with conduct disorder." Thesis, Rhodes University, 2005. http://eprints.ru.ac.za/180/1/mashalaba-ma.pdf.

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Conduct Disorder (CD) is a repetitive and persistent pattern of behaviour in which the basic rights of others or major age-appropriate societal norms or rules are violated. It is one of the most common problems in South African schools, particularly in those that are poverty-stricken. The child who participated in the study lived in the shelter that was for homeless and disadvantaged children. He attended at Amasango School where the majority of children in the shelter attended. There were many conduct-disordered children in the shelter and the school, particularly in the school. They disrupted classes making in difficult for teachers to carry out their education activities. The aim of this study was to draw on the standard procedures of the CBT in order to design interventions that would be effective in reducing aggressive behaviour in an adolescent who had CD Adolescent-Type and who lived at the shelter. This case study evaluated the effectiveness of a multi-modal CBT programme in a 16 year-old Black male who had been displaying aggressive behaviour for about a year. The treatment consisted of 23 sessions and included teacher counseling, contingency management, self-control and self-instructional training. The treatment was evaluated qualitatively by means of interviews with the child and teacher and quantitatively by means of repeated applications of behaviour checklists completed by the teacher. The results showed a decrease in the client's aggressive behaviour and an increase in prosocial behaviour. The client ultimately ceased from all aggressive behaviour towards his peers and this outcome was sustained during his last two months in therapy.
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Hjalmarsson, Anna. "Att utvärdera AdApt, ett multimodalt konverserande dialogsystem, med PARADISE." Thesis, Linköping University, Department of Computer and Information Science, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1831.

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This master’s thesis presents experiences from an evaluation of AdApt, a multi- modal, conversational dialogue system, using PARADISE, PARAdigm for Dialogue System Evaluation, a general framework for evaluation. The purpose of this master’s thesis was to assess PARADISE as an evaluation tool for such a system. An experimental study with 26 subjects was performed. The subjects were asked to interact with one of three different system versions of AdApt. Data was collected through questionnaires, hand tagging of the dialogues and automatic logging of the interaction. Analysis of the results suggests that further research is needed to develop a general framework for evaluation which is easy to apply and can be used for varying kinds of spoken dialogue systems. The data collected in this study can be used as starting point for further research.

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Poskiparta, Laura. "Collaborative Dialogues in Strategic Multi-Modal Studies - New Tool for Exploring Efficient Solutions in Transport Planning : Experiences from the Swedish and the Finnish Contexts." Thesis, KTH, Urbana och regionala studier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-123675.

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In recent years, the development considerations within transport planning have started to examine needs from a more comprehensive perspective in order to shift the focus of planning away from favoring automobile travel. New approaches are emerging around the world to face the challenges we are confronted with, such as urbanization, dispersion of community structures, change in population structure, aging, climate change, and tightening budgets. Therefore, this thesis is aiming to gain more insight on new approaches in transport planning by comparing emerging systems in Sweden and in Finland. The comparison is focused on the renewed procedures at the early stages of transport planning; the methods to conduct multi-modal studies through collaborative decision-making processes in both countries. Thus, in this thesis the renewed preliminary transport planning in Finland and the Swedish method of Strategic Choice of Measures are compared based on implications from practice. The main purpose is to learn from practice and therefore, the data for comparison is based on conducted test cases that aim to develop the emerging planning processes in both countries. In Sweden, the preliminary version of the new planning method, developed by the Swedish Transport Administration, was tested with six cases during 2011. KTH was commissioned to conduct a study to examine the collaborative planning of involved actors in each of these cases, and the cases together. Thus, in the Swedish context, the data for comparison will be collected from the earlier study conducted by a KTH researcher John Odhage. In the Finnish context, a case study will be carried out for the data collection. The chosen case consists of a pilot study initiated in Finland in 2012 for the purpose of collecting ideas for the development of a renewed preliminary planning process. In general, both countries approaches aim at creating efficient procedures that would contribute to cost-efficiency and sustainable development as well as fulfilling other aims of the transport policy of each country.  The focus of the comparison is on the critical aspects of multi-modal studies and three features of a collaborative process; the choice of actors, the problem formulation, and the process management. The comparison is carried out based on theoretical implications and the experiences from practice are scrutinized against the ideal approach of each country. It has become apparent that three clearly distinctive differences between the approaches can be pointed out: the role of the transport administration, the creation of a steering committee, and creation of a concept for process guidance. In addition, the four-step principle is the multi-modal tool used in both countries approaches to generate alternative measures to transport related issues. The basic idea of the principle is in the first place to influence land use, transport demand, and choice of travel mode, and secondly to examine if the use of existing transport system can be optimized prior to construction. However, based on the experiences from practice, it seems that in both countries processes the focus of generating alternative measures is leaning more against minor or large new investments. Thus, the search for complementary measures to achieve considerable cost-savings and more importantly, sustainable development, is perceived challenging.
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Steiling, David. "Icon, representation and virtuality in reading the graphic narrative." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001818.

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Elbow, Clinton M. "Up in the Air: the Global Economy, Economic Development, and Air Transportation in Tampa Bay, Florida." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3086.

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A globally integrated economy is one of the most prominent features of globalization and how city stakeholders respond to the global economy varies from city to city. Connecting to the global economy is often portrayed to be necessary for the continued economic development of a metropolitan area. Large transportation infrastructures such as airports represent one of the most visible ways of connecting to the global economy. Decisions made by city stakeholders regarding airports in order to reposition their city in the global economy have profound consequences for its residents. This thesis aims to examine the role played by air transportation in the processes of globalization present in Tampa Bay, Florida, and focuses specifically on investigating the following research questions: 1) What vision of Tampa Bay is driving the economic development plans of stakeholders of Tampa International Airport and St. Petersburg/Clearwater International Airport? 2) What understanding of globalization do Tampa Bay economic development and air transportation stakeholders have? 3) How does air transportation fit into the economic development plans of Tampa Bay stakeholders and how will each airport play a part? To answer these questions, this thesis uses a qualitative research approach that relies on open-ended, in-depth interviews and artifact review as the methods of data collection. Interviews were conducted with representatives of transportation facilities, government economic development entities, non-profit economic development organizations, and private business interests. These interviews focused on the themes of visions of a future Tampa Bay, stakeholder understandings of globalization, stakeholder perceptions of space-time, and ultimately how air transportation assets in Tampa Bay may or may not be used in the economic development process as a response to the global economy. The results reveal that Tampa Bay stakeholders largely share in a vision of a future Tampa Bay but are not in as much agreement on how to achieve this vision, particularly regarding air transportation. Governance structure is found to be one of the greatest challenges associated with stakeholders' response to the global economy. The subject of governance structure in this case study is tied to changing perceptions of space-time, brought about by the pressures of a global economy, which in the minds of stakeholders requires one to do more with less in order to compete in the global economy. The findings provide important insights on how Tampa Bay stakeholders use air transportation in the process of economic development as a response to the global economy.
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Riemann, Deborah. "THE IMPACT OF PLANS, POLICIES AND PRACTICES OF METROPOLITAN PLANNING ORGANIZATIONS ON THE DESIGN AND IMPLEMENTATION OF STREETS FOR ALL USERS." Cleveland State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=csu1368225055.

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Walsh-Moorman, Elizabeth A. "Multimodal Composing In Support of Disciplinary Literacy: A Search For Context In ELA and History Classrooms." Kent State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=kent1515961727003752.

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Books on the topic "Multi-modal studies"

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(Firm), Steer Davies Gleave, and Transport 2000 (Organisation), eds. Research on multi-modal and roads-based studies. London: Steer Davies Gleave, 2000.

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Book chapters on the topic "Multi-modal studies"

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Holler, Judith, and Janet Bavelas. "Chapter 10. Multi-modal communication of common ground." In Gesture Studies, 213–40. Amsterdam: John Benjamins Publishing Company, 2017. http://dx.doi.org/10.1075/gs.7.11hol.

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Hiriyannaiah, Srinidhi, Siddesh G. M., Mumtaz Irteqa Ahmed, Kolli Saivenu, Anant Raj, K. G. Srinivasa, and L. M. Patnaik. "Multi-modal Data-Driven Analytics for Health Care." In Studies in Big Data, 139–55. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0415-7_7.

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Boo, Yee Ling, and Damminda Alahakoon. "Building Multi-modal Crime Profiles with Growing Self Organising Maps." In Studies in Computational Intelligence, 97–124. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05885-6_6.

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El-Din, Doaa Mohey, Aboul Ella Hassanein, and Ehab E. Hassanien. "The Effect CoronaVirus Pendamic on Education into Electronic Multi-modal Smart Education." In Studies in Big Data, 245–59. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55258-9_15.

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Zhang, Yu. "Construction and Heritage Studies Based on the “Internet+” Core Value System of Social Environment." In Application of Intelligent Systems in Multi-modal Information Analytics, 276–83. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15740-1_41.

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Di Gangi, Massimo. "Planning Evacuation by Means of a Multi-modal Mesoscopic Dynamic Traffic Simulation Model." In Studies in Computational Intelligence, 99–115. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89930-3_6.

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Wouagabe, Justin, and Du Juan. "Review of Studies on the Public-Private Partnership (PPP) for Urban Infrastructure Projects in China." In Application of Intelligent Systems in Multi-modal Information Analytics, 190–97. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51431-0_29.

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Ye, Nianhua, Yanling Ding, Jing Yu, and Lu Han. "Intelligent Visualization Analysis of TCM Translation Education Studies Based on CiteSpace in the Big Data Era." In Application of Intelligent Systems in Multi-modal Information Analytics, 966–72. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05484-6_129.

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Men, Liang, and Nick Bryan-Kinns. "Supporting Sonic Interaction in Creative, Shared Virtual Environments." In Sonic Interactions in Virtual Environments, 237–67. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04021-4_8.

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AbstractThis chapter examines user experience design for collaborative music making in shared virtual environments (SVEs). Whilst SVEs have been extensively researched for many application domains including education, entertainment, work and training, there is limited research on the creative aspects. This results in many unanswered design questions such as how to design the user experience without being detrimental to the creative output, and how to design spatial configurations to support both individual creativity and collaboration. Here, we explore multi-modal approaches to supporting creativity in collaborative music making in SVEs. We outline an SVE, LeMo, which allows two people to create music collaboratively. We then present two studies; the first explores how free-form visual 3D annotations instead of spoken communication can support collaborative composition processes and human–human interaction. Five classes of use of annotation were identified in the study, three of which are particularly relevant to the future design of sonic interactions in virtual environments. The second study used a modified version of LeMo to test the support for a creative collaboration of two different spatial audio settings, which according to the results, changed participants’ behaviour and affected their collaboration. Finally, design implications for the auditory design of SVEs focusing on supporting creative collaboration are given.
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Ledin, Per, and David Machin. "Multi-modal critical discourse analysis." In The Routledge Handbook of Critical Discourse Studies, 60–76. Routledge, 2017. http://dx.doi.org/10.4324/9781315739342-5.

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Conference papers on the topic "Multi-modal studies"

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Peng, Yiming, Hisao Ishibuchi, and Ke Shang. "Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies." In 2019 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2019. http://dx.doi.org/10.1109/ssci44817.2019.9002937.

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Liu, Zuoyi, Qi Zhang, and Qinghua Huang. "The Role of Chinese Railway in Multi-Modal Transport." In Second International Conference on Transportation and Traffic Studies (ICTTS ). Reston, VA: American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40503(277)25.

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Vinayak, Harsh, and Rajendra Singh. "Dynamic analysis of multi-mesh geared systems - Modal studies." In 30th Joint Propulsion Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-2934.

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SCHMIDT, K. H. "SYSTEMATIC STUDIES OF MULTI-MODAL FISSION WITH RELATIVISTIC SECONDARY BEAMS." In Pont d'Oye IV. WORLD SCIENTIFIC, 2000. http://dx.doi.org/10.1142/9789812793683_0001.

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Yang, Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, and Yuan Jiang. "Comprehensive Semi-Supervised Multi-Modal Learning." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/568.

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Multi-modal learning refers to the process of learning a precise model to represent the joint representations of different modalities. Despite its promise for multi-modal learning, the co-regularization method is based on the consistency principle with a sufficient assumption, which usually does not hold for real-world multi-modal data. Indeed, due to the modal insufficiency in real-world applications, there are divergences among heterogeneous modalities. This imposes a critical challenge for multi-modal learning. To this end, in this paper, we propose a novel Comprehensive Multi-Modal Learning (CMML) framework, which can strike a balance between the consistency and divergency modalities by considering the insufficiency in one unified framework. Specifically, we utilize an instance level attention mechanism to weight the sufficiency for each instance on different modalities. Moreover, novel diversity regularization and robust consistency metrics are designed for discovering insufficient modalities. Our empirical studies show the superior performances of CMML on real-world data in terms of various criteria.
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Zhong, Junpei, Angelo Cangelosi, and Tetsuya Ogata. "Toward abstraction from multi-modal data: Empirical studies on multiple time-scale recurrent models." In 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2017. http://dx.doi.org/10.1109/ijcnn.2017.7966312.

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Zheng, Emily, Huijuan Zhang, Wentao Hu, Marvin M. Doyley, and Jun Xia. "Multi-modal Mammoscope with Photoacoustic, Ultrasound, and Elastographic imaging capabilities." In Frontiers in Optics. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.fth3d.3.

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We developed a multi-modal imaging system that combined photoacoustic, ultrasound, and elastography for comprehensive evaluation of the breast. The system was validated in phantoms and human imaging studies.
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Kanbar, Lara J., Wissam Shalish, Doina Precup, Karen Brown, Guilherme M. Sant'Anna, and Robert E. Kearney. "APEX_SCOPE: A graphical user interface for visualization of multi-modal data in inter-disciplinary studies." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8037390.

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Wu, Aming, and Yahong Han. "Multi-modal Circulant Fusion for Video-to-Language and Backward." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/143.

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Multi-modal fusion has been widely involved in focuses of the modern artificial intelligence research, e.g., from visual content to languages and backward. Common-used multi-modal fusion methods mainly include element-wise product, element-wise sum, or even simply concatenation between different types of features, which are somewhat straightforward but lack in-depth analysis. Recent studies have shown fully exploiting interactions among elements of multi-modal features will lead to a further performance gain. In this paper, we put forward a new approach of multi-modal fusion, namely Multi-modal Circulant Fusion (MCF). Particularly, after reshaping feature vectors into circulant matrices, we define two types of interaction operations between vectors and matrices. As each row of the circulant matrix shifts one elements, with newly-defined interaction operations, we almost explore all possible interactions between vectors of different modalities. Moreover, as only regular operations are involved and defined a priori, MCF avoids increasing parameters or computational costs for multi-modal fusion. We evaluate MCF with tasks of video captioning and temporal activity localization via language (TALL). Experiments on MSVD and MSRVTT show our method obtains the state-of-the-art for video captioning. For TALL, by plugging into MCF, we achieve a performance gain of roughly 4.2% on TACoS.
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Park, Yong-Seok, Sumit Sunil Narsale, Pradeep Kumar Mani, and Jami J. Shah. "Multi-Modal Knowledge Bases to Facilitate Conceptual Mechanical Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46372.

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Over the past several years we have been building a variety of knowledge bases and tools to support conceptual design of mechanical systems. Both intuitive and logical methods have been embedded into system. An interactive system for concept generation and synthesis based on hierarchical morphological charts has been implemented to serve as an organizational framework. Knowledge bases span a wide range of abstraction levels, from physical effects and working principles at one end, to artifact repositories, linkages/mechanisms and common machine elements. Existing knowledge bases from various sources were combined with those developed in-house to create a comprehensive set. User studies on two previous versions of the tool gave us valuable information about enhancements and improvements, both to the knowledge and to the user interface. This paper describes the third incarnation of our Testbed. The methods are now grouped into six modules: Problem Formulation, Re-formulation, Searching for Standard Solutions, Generating sub-solutions from first principles, Gateways to External Resources, Synthesis and Process Monitoring. In addition, users can monitor their state and process. Multilayer morphological charts provide more flexible options as well as customizable solution sets to users. The Testbed is implemented as a web based application implemented in CakePHP (MVC) and PHP. For storing and retrieving data SQLite was used. This Testbed has the dual purpose of design facilitation for novices and for research on conceptual design and creativity.
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