Relevant bibliographies by topics / Representations of groups – Data processing

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Representations of groups – Data processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2025

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Journal articles on the topic "Representations of groups – Data processing"

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G. Jothi and S. Clement Virgeniya. "Medical Data NER and Classification Using Hybridized BERT Model." World Journal of Advanced Engineering Technology and Sciences 13, no. 1 (2024): 040–47. http://dx.doi.org/10.30574/wjaets.2024.13.1.0376.

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The extraction of important information from medical texts by Named Entity Recognition (NER) is a key component of advanced medical text processing. Medical practitioners rely heavily on NER's assistance with disease surveillance, clinical resolution building, and substantiation-based treatment. As the foundation of text information processing in the medical field, it guarantees precise location of data required for knowledgeable medical decisions and attentive disease surveillance. Additionally, a core goal in medical Natural Language Processing (NLP) is medical text categorization, which tri
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Vasileva, I. V., and M. V. Chumakov. "The specificity of the semantic space of students’ volunteering representations." Bulletin of the State University of Education. Series: Psychology, no. 2 (May 11, 2023): 6–18. https://doi.org/10.18384/2310-7235-2023-2-6-18.

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Aim. To identify differences in the structure of representations about volunteering among university students with and without experience in volunteering.Methodology. 173 participants formulated associations to the word “volunteer”. Data processing: frequency analysis, z-test.Results. There are no statistically significant differences between the groups in the frequency of semantic groups of associations regarding volunteering. Thus, the ideas of students who do not have experience in volunteering adequately reflect the content and meaning of this activity. The only difference concerns the ran
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Kibalchenko, Irina, and Tatiana Eksakusto. "Mental Representations as The Students’ Academic Success Predictor." International Journal of Cognitive Research in Science, Engineering and Education 11, no. 1 (2023): 51–62. http://dx.doi.org/10.23947/2334-8496-2023-11-1-51-62.

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The analysis is aimed at defining peculiarities of mental representations in homogeneous cluster groups, represented by the students characterized by different (high, average or low) academic progress levels. Deductive and correlation design of the research is defined here as a general method. Statistic design: the research is held taking into account a mixed method, including several qualitative and quantitative techniques of data processing and interpreting; more specifically cluster analysis (used for relatively homogeneous groups defining), multiple regression analysis (used to determine t
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Roriz, Ricardo, Heitor Silva, Francisco Dias, and Tiago Gomes. "A Survey on Data Compression Techniques for Automotive LiDAR Point Clouds." Sensors 24, no. 10 (2024): 3185. http://dx.doi.org/10.3390/s24103185.

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In the evolving landscape of autonomous driving technology, Light Detection and Ranging (LiDAR) sensors have emerged as a pivotal instrument for enhancing environmental perception. They can offer precise, high-resolution, real-time 3D representations around a vehicle, and the ability for long-range measurements under low-light conditions. However, these advantages come at the cost of the large volume of data generated by the sensor, leading to several challenges in transmission, processing, and storage operations, which can be currently mitigated by employing data compression techniques to the
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Petricek, Vaclav, and Michal Dusek. "Magnetic Option in Jana2006: A Unified Approach by Shubnikov (Super)space Groups." Acta Crystallographica Section A Foundations and Advances 70, a1 (2014): C520. http://dx.doi.org/10.1107/s2053273314094790.

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The concept of Shubnikov (magnetic) symmetry becomes frequently used for description, solution and refinement of magnetic structures. Its growing importance is connected with the ease of application to various classes of magnetic structures having the translation periodicity identical, commensurate or incommensurate with the nuclear one. Recently generalized superspace approach [1] for incommensurately modulated magnetic structures allows for combination of nuclear and magnetic modulations. This unified description helps fully understand e.g. multiferroic phases. The program Jana2006 (http://j
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Zhang, En, Wenming Ma, Jinkai Zhang, and Xuchen Xia. "A Service Recommendation System Based on Dynamic User Groups and Reinforcement Learning." Electronics 12, no. 24 (2023): 5034. http://dx.doi.org/10.3390/electronics12245034.

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Recently, advancements in machine-learning technology have enabled platforms such as short video applications and e-commerce websites to accurately predict user behavior and cater to their interests. However, the limited nature of user data may compromise the accuracy of these recommendation systems. To address personalized recommendation challenges and adapt to changes in user preferences, reinforcement-learning algorithms have been developed. These algorithms strike a balance between exploring new items and exploiting existing ones, thereby enhancing recommendation accuracy. Nevertheless, th
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VERHAGEN, VÉRONIQUE, MARIA MOS, AD BACKUS, and JOOST SCHILPEROORD. "Predictive language processing revealing usage-based variation." Language and Cognition 10, no. 2 (2018): 329–73. http://dx.doi.org/10.1017/langcog.2018.4.

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abstractWhile theories on predictive processing posit that predictions are based on one’s prior experiences, experimental work has effectively ignored the fact that people differ from each other in their linguistic experiences and, consequently, in the predictions they generate. We examine usage-based variation by means of three groups of participants (recruiters, job-seekers, and people not (yet) looking for a job), two stimuli sets (word sequences characteristic of either job ads or news reports), and two experiments (a Completion task and a Voice Onset Time task). We show that differences i
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Wang, Xingqi, Mengrui Zhang, Bin Chen, Dan Wei, and Yanli Shao. "Dynamic Weighted Multitask Learning and Contrastive Learning for Multimodal Sentiment Analysis." Electronics 12, no. 13 (2023): 2986. http://dx.doi.org/10.3390/electronics12132986.

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Multimodal sentiment analysis (MSA) has attracted more and more attention in recent years. This paper focuses on the representation learning of multimodal data to reach higher prediction results. We propose a model to assist in learning modality representations with multitask learning and contrastive learning. In addition, our approach obtains dynamic weights by considering the homoscedastic uncertainty of each task in multitask learning. Specially, we design two groups of subtasks, which predict the sentiment polarity of unimodal and bimodal representations, to assist in learning representati
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Bu, Qingwen, Sungrae Park, Minsoo Khang, and Yichuan Cheng. "SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 2 (2024): 855–63. http://dx.doi.org/10.1609/aaai.v38i2.27844.

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Existing techniques for text detection can be broadly classified into two primary groups: segmentation-based and regression-based methods. Segmentation models offer enhanced robustness to font variations but require intricate post-processing, leading to high computational overhead. Regression-based methods undertake instance-aware prediction but face limitations in robustness and data efficiency due to their reliance on high-level representations. In our academic pursuit, we propose SRFormer, a unified DETR-based model with amalgamated Segmentation and Regression, aiming at the synergistic har
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Chamarczuk, Michał, Yohei Nishitsuji, Michał Malinowski, and Deyan Draganov. "Unsupervised Learning Used in Automatic Detection and Classification of Ambient‐Noise Recordings from a Large‐N Array." Seismological Research Letters 91, no. 1 (2019): 370–89. http://dx.doi.org/10.1785/0220190063.

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Abstract We present a method for automatic detection and classification of seismic events from continuous ambient‐noise (AN) recordings using an unsupervised machine‐learning (ML) approach. We combine classic and recently developed array‐processing techniques with ML enabling the use of unsupervised techniques in the routine processing of continuous data. We test our method on a dataset from a large‐number (large‐N) array, which was deployed over the Kylylahti underground mine (Finland), and show the potential to automatically process and cluster the volumes of AN data. Automatic sorting of de
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Dissertations / Theses on the topic "Representations of groups – Data processing"

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Doan, AnHai. "Learning to map between structured representations of data /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6968.

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Bourgeois, Adèle. "On the Restriction of Supercuspidal Representations: An In-Depth Exploration of the Data." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40901.

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Let $\mathbb{G}$ be a connected reductive group defined over a p-adic field F which splits over a tamely ramified extension of F, and let G = $\mathbb{G}(F)$. We also assume that the residual characteristic of F does not divide the order of the Weyl group of $\mathbb{G}$. Following J.K. Yu's construction, the irreducible supercuspidal representation constructed from the G-datum $\Psi$ is denoted $\pi_G(\Psi)$. The datum $\Psi$ contains an irreducible depth-zero supercuspidal representation, which we refer to as the depth-zero part of the datum. Under our hypotheses, the J.K. Yu Constructio
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Chen, Siheng. "Data Science with Graphs: A Signal Processing Perspective." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/724.

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A massive amount of data is being generated at an unprecedented level from a diversity of sources, including social media, internet services, biological studies, physical infrastructure monitoring and many others. The necessity of analyzing such complex data has led to the birth of an emerging framework, graph signal processing. This framework offers an unified and mathematically rigorous paradigm for the analysis of high-dimensional data with complex and irregular structure. It extends fundamental signal processing concepts such as signals, Fourier transform, frequency response and filtering,
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Song, Lihong. "Medical concept embedding with ontological representations." HKBU Institutional Repository, 2019. https://repository.hkbu.edu.hk/etd_oa/703.

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Learning representations of medical concepts from the Electronic Health Records (EHRs) has been shown effective for predictive analytics in healthcare. The learned representations are expected to preserve the semantic meanings of different medical concepts, which can be treated as features and thus benefit a variety of applications. Medical ontologies have also been explored to be integrated with the EHR data to further enhance the accuracy of various prediction tasks in healthcare. Most of the existing works assume that medical concepts under the same ontological category should share similar
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Wegner, Alexander. "The construction of finite soluble factor groups of finitely presented groups and its application." Thesis, University of St Andrews, 1992. http://hdl.handle.net/10023/12600.

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Computational group theory deals with the design, analysis and computer implementation of algorithms for solving computational problems involving groups, and with the applications of the programs produced to interesting questions in group theory, in other branches of mathematics, and in other areas of science. This thesis describes an implementation of a proposal for a Soluble Quotient Algorithm, i.e. a description of the algorithms used and a report on the findings of an empirical study of the behaviour of the programs, and gives an account of an application of the programs. The programs were
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Coutts, Hannah Jane. "Topics in computational group theory : primitive permutation groups and matrix group normalisers." Thesis, University of St Andrews, 2011. http://hdl.handle.net/10023/2561.

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Part I of this thesis presents methods for finding the primitive permutation groups of degree d, where 2500 ≤ d < 4096, using the O'Nan-Scott Theorem and Aschbacher's theorem. Tables of the groups G are given for each O'Nan-Scott class. For the non-affine groups, additional information is given: the degree d of G, the shape of a stabiliser in G of the primitive action, the shape of the normaliser N in S[subscript(d)] of G and the rank of N. Part II presents a new algorithm NormaliserGL for computing the normaliser in GL[subscript(n)](q) of a group G ≤ GL[subscript(n)](q). The algorithm is impl
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Calcraft, Paul Richard Thomas. "The evolution of group traits : modelling natural selection on trait prevalence within and between groups." Thesis, University of Sussex, 2017. http://sro.sussex.ac.uk/id/eprint/67214/.

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One of evolution's greatest innovations was group living; indeed, it is fundamental to our daily lives as humans. Yet despite intense theoretical and empirical work, the details of how group living arose and is maintained are poorly understood. A central question in this area concerns the strength of natural selection operating between groups of organisms (group selection) because some think this is key to the evolution of group behaviour. It is, however, challenging to measure natural selection occurring between groups and between the individuals within those groups simultaneously. Consequent
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Seth, Ernest L. "FASPEC, a program to determine group constants for up to 47 groups in a fast neutron spectrum." Thesis, Virginia Tech, 1985. http://hdl.handle.net/10919/45665.

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<p>In reactor core design, a gap exists between the manual calculation of few-group constants and the many-group calculation, by large computer programs. A method is needed by which group constants may be calculated easily and quickly. The FASPEC program is designed to reduce the amount of manual calculation and to complement the large program by reducing the number of times the large program must be run to achieve desired results.</p> <p>The program calculates group constants from 940 microgroups, collapsing to any user-specified number of macrogroups up to 47. FASPEC is based on gro
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Blomstedt, Johanna. "A reliable method of tractography analysis : of DTI-data from anatomically and clinically difficult groups." Thesis, Uppsala universitet, Radiologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388590.

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MRI is used to produce images of tissue in the body. DTI, specifically, makes it possible to track the effects of nerves where they are in the brain. This project includes a shell script and a guide for using the FMRIB Software Library, followed by StarTrack and then Trackvis in order to track difficult areas in the brain. The focus is on the trigeminal nerve (CN V). The method can be used to compare nerves in the same patient, or as a comparison to a healthy brain.
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Glander, Tassilo. "Multi-scale representations of virtual 3D city models." Phd thesis, Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2013/6411/.

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Virtual 3D city and landscape models are the main subject investigated in this thesis. They digitally represent urban space and have many applications in different domains, e.g., simulation, cadastral management, and city planning. Visualization is an elementary component of these applications. Photo-realistic visualization with an increasingly high degree of detail leads to fundamental problems for comprehensible visualization. A large number of highly detailed and textured objects within a virtual 3D city model may create visual noise and overload the users with information. Objects are subj
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Books on the topic "Representations of groups – Data processing"

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Lux, Klaus. Representations of Groups: A Computational Approach. Cambridge University Press, 2010.

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1956-, Dräxler P., Michler G. 1938-, and Ringel Claus Michael, eds. Computational methods for representations of groups and algebras: Euroconference in Essen (Germany), April 1-5, 1997. Birkhäuser Verlag, 1999.

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Ringel, Claus Michael, P. Dräxler, and G. Michler. Computational methods for representations of groups and algebras: Euroconference in Essen (Germany), April 1-5, 1977. Springer Basel AG, 1999.

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1959-, Marsden Alan, and Pople Anthony, eds. Computer representations and models in music. Academic Press, 1992.

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Larry, Finkelstein, and Kantor W. M. 1944-, eds. Groups and computation II: Workshop on groups and computation, June 7-10, 1995. American Mathematical Society, 1997.

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Maciejewski, Ross. Data representations, transformations, and statistics for visual reasoning. Morgan & Claypool, 2011.

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Davis, Ernest. Representations of commonsense knowledge. Morgan Kaufmann Publishers, 1990.

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Auto-Carto (7th 1985 Washington, D.C.). Auto-carto 7: Proceedings : Digital representations of spatial knowledge. American Society of Photogrammetry, 1985.

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Tolimieri, Richard. Time-frequency representations. Birkhauser Boston, 1997.

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Sherman, Tom. Electronic networking for nonprofit groups: A guide to getting started. Apple Computer, 1991.

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Book chapters on the topic "Representations of groups – Data processing"

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Gordon, Matthew, Luise von Zimmerman, Oushesh Haradhun, Dominik Campanella, Milena Bräutigam, and Catherine De Wolf. "Digitising Building Materials for Reuse with Reality Capture and Scan-to-BIM Technologies." In Circular Economy and Sustainability. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-39675-5_3.

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AbstractEffective building component reuse requires specific information about recoverable components. However, 85% of the European building stock predates the building information modelling (BIM) technology that stores and links such information. Digitisation technologies can be used to recover this information. Scanning and scan-to-BIM technologies such as LiDAR and photogrammetry enable us to capture and analyse large amounts of raw geometric data as point clouds to create digital records or BIM models of existing buildings. These digital representations can be used by building owners, insp
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Sinha, Virendra P. "Representations of Finite Groups." In Symmetries and Groups in Signal Processing. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9434-6_5.

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de Bernardo, Guillermo, Sandra Álvarez-García, Nieves R. Brisaboa, Gonzalo Navarro, and Oscar Pedreira. "Compact Querieable Representations of Raster Data." In String Processing and Information Retrieval. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02432-5_14.

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Ge, Tingjian, Alex Dekhtyar, and Judy Goldsmith. "Uncertain Data: Representations, Query Processing, and Applications." In Advances in Probabilistic Databases for Uncertain Information Management. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37509-5_4.

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Apolloni, B., A. Brega, D. Malchiodi, G. Palmas, and A. M. Zanaboni. "Learning Rule Representations from Boolean Data." In Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44989-2_104.

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Narducci, Fedelucio, Cataldo Musto, Giovanni Semeraro, Pasquale Lops, and Marco de Gemmis. "Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems." In Lecture Notes in Business Information Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39878-0_17.

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Rebmann, Adrian, Peter Pfeiffer, Peter Fettke, and Han van der Aa. "Multi-perspective Identification of Event Groups for Event Abstraction." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27815-0_3.

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AbstractIn process mining settings, events are often recorded on a low level and cannot be used for meaningful analysis directly. Moreover, the resulting variability in the recorded event sequences leads to complex process models that provide limited insights. To overcome these issues, event abstraction techniques pre-process the event sequences by grouping the recorded low-level events into higher-level activities. However, existing abstraction techniques require elaborate input about high-level activities upfront to achieve acceptable abstraction results. This input is often not available or
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Essafi, Hassane, Marc Pic, and Didier Juvin. "κ-Project/first step: To improve data manipulations and representations on parallel computers." In Parallel Processing: CONPAR 92—VAPP V. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55895-0_448.

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Necciari, Thibaud, Peter Balazs, Richard Kronland-Martinet, et al. "Auditory Time-Frequency Masking: Psychoacoustical Data and Application to Audio Representations." In Speech, Sound and Music Processing: Embracing Research in India. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31980-8_12.

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Soille, Pierre, and Laurent Najman. "On Morphological Hierarchical Representations for Image Processing and Spatial Data Clustering." In Applications of Discrete Geometry and Mathematical Morphology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32313-3_4.

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Conference papers on the topic "Representations of groups – Data processing"

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Plachouras, Christos, Emmanouil Benetos, and Johan Pauwels. "Learning Music Audio Representations With Limited Data." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887766.

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Zhang, Longkai, Houfeng Wang, Xu Sun, and Mairgup Mansur. "Exploring Representations from Unlabeled Data with Co-training for Chinese Word Segmentation." In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2013. http://dx.doi.org/10.18653/v1/d13-1031.

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Song, Huilin, and Peng Lei. "Modulation Classification of Satellite Communication Signals by Contrastive Learning of Dual Time-Frequency Representations." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10869188.

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Abdul Qayyum, Alif Bin, Xihaier Luo, Nathan M. Urban, Xiaoning Qiari, and Byung-Iun Yoon. "Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data." In 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2024. http://dx.doi.org/10.1109/mlsp58920.2024.10734742.

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Viegas, Felipe, Leonardo Rocha, and Marcos André Gonçalves. "On the Role of Semantic Word Clusters — CluWords — in Natural Language Processing (NLP) Tasks." In Concurso de Teses e Dissertações. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/ctd.2024.2036.

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The ability to represent data in meaningful and tractable ways is crucial for Natural Language Processing (NLP) applications. This Ph.D. dissertation focused on proposing, designing and evaluating a novel textual document representation that exploits the “best of two worlds”: efficient and effective frequentist information (TFIDF representations) with semantic information derived from word embedding representations. In more details, our proposal – called CluWords – groups syntactically and semantically related words into clusters and applies domain-specific and application-oriented filtering a
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Viegas, Felipe, Leonardo Rocha, and Marcos André Gonçalves. "Um Estudo Aprofundado sobre Grupos Semânticos de Palavras - CluWords - em tarefas de PLN." In Anais Estendidos do Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/webmedia_estendido.2024.241871.

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This Ph.D. dissertation focused on proposing, designing and evaluating a novel textual document representation that exploits the “best of two worlds”: efficient and effective frequentist information (TFIDF representations) with semantic information derived from word embedding representations. In more details, our proposal – called CluWords – groups syntactically and semantically related words into clusters and applies domain-specific and applicationoriented filtering and weighting schemes over them to build powerful document representations especially tuned for the task in hand. We apply our n
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Sipos, Bence, and Brigitta Szilágyi. "Investigation of processing test results based on knowledge similarity." In SEFI 50th Annual conference of The European Society for Engineering Education. Universitat Politècnica de Catalunya, 2022. http://dx.doi.org/10.5821/conference-9788412322262.1383.

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The traditional scoring is based on the difficulty of the task. However, the same total score can be earned with different knowledge, hence it is difficult to create homogenous groups by only relying on the total score. In our work, we aim to present a new scoring method where such knowledge-based groups can be created, as opposed to the previous point-based method. For comparison of the test result done by the students, we utilized different distance measures. The main challenge with finding the similarities between the results is the high dimensionality of the data compared to the total numb
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Cheng, Aoxiang, Mengyuan Shen, and Youyi Bi. "Approach for Kano-IPA Analysis of Product Attributes From Online Reviews and Product Maintenance Records." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95362.

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Abstract Kano analysis and importance-performance analysis (IPA) are widely used for needs analysis, product positioning, and strategic planning in product design. Previous research uses customer surveys and online reviews as the main data sources. However, these data carry inevitable subjective bias. In contrast, product maintenance records provide objective information on product quality issues and failure patterns, which can be cross-validated with customers’ personal experience from online reviews. In this paper, we propose a systematic approach for conducting Kano-IPA analysis from online
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Bondyreva, Svetlana, Alexander Nikitin, Alexander Prudnik, Elisaveta Savrutskaya, and Segey Ustinkin. "THE PROBLEM OF FOREIGN MIGRANT WORKERS IN THE CONTEXT OF RUSSIA’S NATIONAL SECURITY." In NORDSCI Conference Proceedings. Saima Consult Ltd, 2021. http://dx.doi.org/10.32008/nordsci2021/b1/v4/35.

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"In the article, the authors made an attempt, on the basis of the results of sociological research among students, to identify trends in the transformation of their value orientations in relation to foreign migrant workers and ethnic groups that make up the population permanently residing in Russia. Research Methods. Questionnaire survey of target groups using a specially designed questionnaire made it possible to obtain primary empirical data on the distribution of the main characteristics of the value attitudes of young people concerning foreign migrant workers and representatives of nationa
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Rascanu, G., R. Dzhusupova, and Z. Guo. "Enhancing Engineering Document Analysis Through Structured Data Mapping." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/221950-ms.

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Abstract This paper presents an innovative approach for mapping engineering documents, particularly unstructured PDF files, to knowledge graphs, offering significant benefits for both engineering processes (i.e. such as ‘review-check-approve’ process) and AI-powered development. The method aims at improving efficiency, enhancing decision-making capabilities, reducing document turn-around duration, and thus decreasing costs while increasing productivity. Specific advantages include: Quick overview for reviewers to prioritize tasks - more weight can be given to identified main topics with less t
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Reports on the topic "Representations of groups – Data processing"

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Ferreira, Nuno, Judith Townend, William McCready, Erika Carrière, Hannah Farkas, and Samantha Robinson. Developing a cost-free legal advice service for asylum seekers and migrants in Brighton and Hove. University of Sussex Migration Law Clinic, 2022. http://dx.doi.org/10.20919/wptu7861.

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In 2018, a team of University of Sussex undergraduate law students working under the supervision of academic staff, conducted the Migration Law Clinic Pilot Study. This was in response to growing and grave concerns about the lack of availability of legal support and services for those seeking asylum and other forms of leave to remain in the UK. These concerns have only heightened in the intervening period: most recently, in response to the government’s publication of a draft Bill of Rights to repeal and replace the Human Rights Act 1998, which would make it much more difficult for potential de
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Ferdaus, Md Meftahul, Mahdi Abdelguerfi, Kendall Niles, Ken Pathak, and Joe Tom. Widened attention-enhanced atrous convolutional network for efficient embedded vision applications under resource constraints. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49459.

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Onboard image analysis enables real-time autonomous capabilities for unmanned platforms including aerial, ground, and aquatic drones. Performing classification on embedded systems, rather than transmitting data, allows rapid perception and decision-making critical for time-sensitive applications such as search and rescue, hazardous environment exploration, and military operations. To fully capitalize on these systems’ potential, specialized deep learning solutions are needed that balance accuracy and computational efficiency for time-sensitive inference. This article introduces the widened att
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Varastehpour, Soheil, Hamid Sharifzadeh, and Iman Ardekani. A Comprehensive Review of Deep Learning Algorithms. Unitec ePress, 2021. http://dx.doi.org/10.34074/ocds.092.

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Deep learning algorithms are a subset of machine learning algorithms that aim to explore several levels of the distributed representations from the input data. Recently, many deep learning algorithms have been proposed to solve traditional artificial intelligence problems. In this review paper, some of the up-to-date algorithms of this topic in the field of computer vision and image processing are reviewed. Following this, a brief overview of several different deep learning methods and their recent developments are discussed.
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van der Sloot, Bart. The Quality of Life: Protecting Non-personal Interests and Non-personal Data in the Age of Big Data. Universitätsbibliothek J. C. Senckenberg, Frankfurt am Main, 2021. http://dx.doi.org/10.21248/gups.64579.

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Under the current legal paradigm, the rights to privacy and data protection provide natural persons with subjective rights to protect their private interests, such as related to human dignity, individual autonomy and personal freedom. In principle, when data processing is based on non-personal or aggregated data or when such data pro- cesses have an impact on societal, rather than individual interests, citizens cannot rely on these rights. Although this legal paradigm has worked well for decades, it is increasingly put under pressure because Big Data processes are typically based indis- crimin
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McKinnon, Mark, Daniel Madryzkowksi, and Craig Weinschenk. Development of a Database of Contemporary Material Properties for Fire Investigation Analysis - Materials and Methods. UL Firefighter Safety Research Institute, 2020. http://dx.doi.org/10.54206/102376/zmpa6638.

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Meetings with the majority of the Technical Panel for the Development of an Interactive Database of Contemporary Material Properties for Fire Modeling project were held on June 29 and June 30, 2020. The major subjects of discussion included the list of proposed materials to be tested and characterized, the properties for the database, and the experimental and analytical methods to determine the properties for the database. A list of 101 materials divided into 11 categories were identified for inclusion in the database. The topics of variability in materials and aging of products and furniture
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Głąb, Tomasz, Jarosław Knaga, Tomasz Zaleski, Paweł Dziwisz, Jan Gluza, and Dariusz Glanas. Determination of soil particle size distribution using computer analysis of microscopic images. Publishing House of the University of Agriculture in Krakow, 2025. https://doi.org/10.15576/repourk/2025.1.3.

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The project aims to develop a prototype device for determining the texture of soils and mineral deposits. The innovation of the designed solution consists in a significant reduction in the time of composition analysis with the possibility of any division into granulometric groups and the complete automation of the measurement from the moment the sample is introduced into the apparatus until the result is obtained. As part of the project, industrial research and experimental development are planned to be divided into the following stages: 1. Development of the measuring system. 2. Development o
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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-c
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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concep
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