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Journal articles on the topic 'Hierarchic representation'

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1

Khrennikov, Andrei, and Nikolay Kotovich. "Towards Ultrametric Modeling of Unconscious Creativity." International Journal of Cognitive Informatics and Natural Intelligence 8, no. 4 (2014): 98–109. http://dx.doi.org/10.4018/ijcini.2014100106.

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Information processed by complex cognitive systems is characterized by the presence of various closely connected hierarchic structures. The most natural geometry for the representation of such structures is geometry of trees and the corresponding topology is the ultrametric topology of on these trees. And the p-adic trees provide the simplest model for representation of mental hierarchies. Moreover, p-adic trees can be endowed with the natural arithmetic reminding the usual arithmetic of real numbers. Therefore it is natural to start from the p-adic models of brain's functioning. In this note
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Topychkanov, A. V. "Constructing Political Space in the Tsar Residences of the 17th Century: an Essay on Its Theoretical Analysis." RUDN Journal of Political Science, no. 4 (December 15, 2016): 136–44. http://dx.doi.org/10.22363/2313-1438-2016-4-136-144.

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The transition to Modernity was characterized by the emergence and development of the culture of sovereigns’ residences. The constructivist approach to the study of the political space of the tsar country residences of the 17th century allow to establish that the sovereign was interested 1) in a hierarchic representation of all social groups, 2) in totalizing a hierarchical structure, underlining its coherence, unity and integrity, 3) that only tsar was endowed by political subjectivity. The success of the construction of political space was depended not only by the use of legal, social, spati
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Shvets, N. V. "The representation of ichthyonyms hierarchic relations in the course of defining their motivation." Science and Education a New Dimension VI(149), no. 42 (2018): 60–63. http://dx.doi.org/10.31174/send-ph2018-149vi42-14.

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Gaona García, Paulo Alonso, Ana Fermoso García, Salvador Sánchez Alonso, and Elvis Eduardo Gaona García. "Visualization Techniques Through Search Interfaces in Learning Object Repositories." Revista Tecnura 18, no. 42 (2014): 114. http://dx.doi.org/10.14483/udistrital.jour.tecnura.2014.4.a09.

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In this paper, it is presented a study to evaluate and compare the effectiveness of eight different interfaces based on visualization techniques to carry out searching digital resources according to knowledge area and knowledge representation scheme. The navigation structure is based on hi­erarchical taxonomic representation through the use of Art and Architecture Thesaurus (AAT). It was adopted principles of Human Computer In­teraction (HCI) for the development of search interfaces through information visualization tech­niques. Finally, it will be presented preliminary results in order to eva
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Shor, Oded, Felix Benninger, and Andrei Khrennikov. "Dendrogramic Representation of Data: CHSH Violation vs. Nonergodicity." Entropy 23, no. 8 (2021): 971. http://dx.doi.org/10.3390/e23080971.

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This paper is devoted to the foundational problems of dendrogramic holographic theory (DH theory). We used the ontic–epistemic (implicate–explicate order) methodology. The epistemic counterpart is based on the representation of data by dendrograms constructed with hierarchic clustering algorithms. The ontic universe is described as a p-adic tree; it is zero-dimensional, totally disconnected, disordered, and bounded (in p-adic ultrametric spaces). Classical–quantum interrelations lose their sharpness; generally, simple dendrograms are “more quantum” than complex ones. We used the CHSH inequalit
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Dibben, Nicola. "The Cognitive Reality of Hierarchic Structure in Tonal and Atonal Music." Music Perception 12, no. 1 (1994): 1–25. http://dx.doi.org/10.2307/40285753.

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Three experiments that form an empirical basis for discussing the cognitive reality of hierarchic structure in music are reported. The first experiment showed evidence of listeners' ability to match a performed reduction of an extract of tonal music to the piece of music from which it was derived. A second experiment showed that this choice of reduction could not be attributed to the relative " coherence" of reductions. These two experiments provide evidence for the internal representation of tonal music in terms of a hierarchy of events such as that proposed by Lerdahl and Jackendoff ( 1983).
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Schuler, William, Samir AbdelRahman, Tim Miller, and Lane Schwartz. "Broad-Coverage Parsing Using Human-Like Memory Constraints." Computational Linguistics 36, no. 1 (2010): 1–30. http://dx.doi.org/10.1162/coli.2010.36.1.36100.

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Human syntactic processing shows many signs of taking place within a general-purpose short-term memory. But this kind of memory is known to have a severely constrained storage capacity—possibly constrained to as few as three or four distinct elements. This article describes a model of syntactic processing that operates successfully within these severe constraints, by recognizing constituents in a right-corner transformed representation (a variant of left-corner parsing) and mapping this representation to random variables in a Hierarchic Hidden Markov Model, a factored time-series model which p
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Kuz’min, Victor E., Anatoly G. Artemenko, Pavel G. Polischuk, et al. "Hierarchic system of QSAR models (1D–4D) on the base of simplex representation of molecular structure." Journal of Molecular Modeling 11, no. 6 (2005): 457–67. http://dx.doi.org/10.1007/s00894-005-0237-x.

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9

Shor, Oded, Felix Benninger, and Andrei Khrennikov. "Representation of the universe as dendrogramic hologram empowered with relational interpretation." Journal of Physics: Conference Series 2533, no. 1 (2023): 012014. http://dx.doi.org/10.1088/1742-6596/2533/1/012014.

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Abstract This is a brief review on the basics of recently established Dendrogramic Holographic theory (DH-theory). This is the special model of the event-universe based on the clustering transformation of experimental data into dendrogram, a finite tree which branches encoding the events. These event-branches are coupled via the hierarchic interrelation determined by the dendrogram. Such relational universe differs from the universe with space-time mathematically described by the real numbers. Dendrogram is endowed with the common root ultrametric. Finite dendrograms correspond to the epistemi
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Ugo, Icardi, and Trizio Vincenzo. "INDENTATION OF SANDWICHES USING A LAYERWISE MODEL WITH FIXED DEGREES OF FREEDOM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 3 (2016): 278–301. https://doi.org/10.5281/zenodo.47041.

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A zig-zag plate model with variable kinematics and fixed degrees of freedom recently developed by the authors is applied to study indentation of sandwiches with honeycomb/foam core, with the aim of reducing the computational burden. This model, which a priori fulfils the stresses and displacements continuity requirements, has a hierarchic representation of displacements, but just five degrees of freedom. The core crushing behaviour is determined apart once at a time in order to account for the variable elastic properties of the core during the structural analysis. Specifically, shell elements
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Ugo, Icardi*1 and Andrea Urraci2. "INDENTATION OF SANDWICHES USING A LAYERWISE MODEL WITH FIXED DEGREES OF FREEDOM." INTERNATIONAL JOURNAL OF RESEARCH SCIENCE & MANAGEMENT 4, no. 5 (2017): 63–84. https://doi.org/10.5281/zenodo.572574.

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A zig-zag plate model with variable kinematics and fixed degrees of freedom recently developed by the authors is applied to study indentation of sandwiches with honeycomb/foam core, with the aim of reducing the computational burden. This model, which <em>a priori</em> fulfils the stresses and displacements continuity requirements, has a hierarchic representation of displacements, but just five degrees of freedom. The core crushing behaviour is determined apart once at a time in order to account for the variable elastic properties of the core during the structural analysis. Specifically, shell
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Shor, Oded, Felix Benninger, and Andrei Khrennikov. "Towards Unification of General Relativity and Quantum Theory: Dendrogram Representation of the Event-Universe." Entropy 24, no. 2 (2022): 181. http://dx.doi.org/10.3390/e24020181.

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Following Smolin, we proceed to unification of general relativity and quantum theory by operating solely with events, i.e., without appealing to physical systems and space-time. The universe is modelled as a dendrogram (finite tree) expressing the hierarchic relations between events. This is the observational (epistemic) model; the ontic model is based on p-adic numbers (infinite trees). Hence, we use novel mathematics: not only space-time but even real numbers are not in use. Here, the p-adic space (which is zero-dimensional) serves as the base for the holographic image of the universe. In th
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ZHIRKOVA, Eugenia E. "THE LINGUISTIC REPRESENTATION OF THE EMOTIVE CONCEPT OF “HAPPINESS” IN TWO OLONKHO TEXTS (“KHAN DZHARGYSTUY” AND “NURGUN BOTUR, THE SWIFT”) AS A CASE-STUDY." Ezikov Svyat volume 22 issue 1, ezs.swu.v22i1 (February 23, 2024): 70–77. http://dx.doi.org/10.37708/ezs.swu.bg.v22i1.6.

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The article provides a content analysis of the emotive concept of “„happiness””and its linguistic representation in the Olonkho texts titled “Khan Dzhargystuy” and “Nurgun Botur the Swift”. The aim of the study is to define the linguistic expressive means representing the concept of “„happiness””in the Olonkhonarratives. The following linguistic expressive means were identified as a result of the research: lexical means in the semantic field of “„happiness”” (yuor-kot‘to be filled with joy, to cheer’; kul-oyno ‘to be happy, to rejoice’; korulae‘to rejoice, to fool around’); figurative lexical
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Shor, Oded, Felix Benninger, and Andrei Khrennikov. "Dendrographic Hologram Theory: Predictability of Relational Dynamics of the Event Universe and the Emergence of Time Arrow." Symmetry 14, no. 6 (2022): 1089. http://dx.doi.org/10.3390/sym14061089.

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Recently we started the development of Dendrographic Hologram Theory (DH-theory). It is based on the novel mathematical representation of the relational event universe (in the spirit of Smolin et al.). Elementary events are represented by branches of dendrograms, finite trees that are generated from data with clustering algorithms. In this context, we studied the dynamics of the event universe generated by the appearance of a new event. Generally, each new event can generate the complete reconstruction of the whole dendrogramic universe. However, we found (via numerical simulation) unexpected
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Zhuravlev, A. P. "Versatile Method of Modeling Content and Structure of a Terminological Field." Bulletin of Kemerovo State University 24, no. 2 (2022): 220–30. http://dx.doi.org/10.21603/2078-8975-2022-24-2-220-230.

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The paper introduces a new method for modeling a terminological field with its content and structure. The method is a foundation for a computer program able to evaluate students’ professional knowledge both in qualitative and quantitative aspects. The method includes several stages: processing the lexical content of a terminological field, revealing elements that structure this content, and graphical representation of the terminological field model. The list of methods included the thesaurus approach and the componential analysis of lexical meaning. The thesaurus approach detects the basic typ
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16

Fedorova, Liudmila L. "The emblematic script of the Aztec codices as a particular semiotic type of writing system." Written Language and Literacy 12, no. 2 (2009): 258–75. http://dx.doi.org/10.1075/wll.12.2.08fed.

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This paper addresses the use of emblems in the representation of language units in writing systems. The emblematic principle works in the early stages of writing as a transition to morphosyllabic writing; the Aztec manuscripts show the most typical examples of this. Phono-emblems function as subtitles or inscriptions to the pictorial compositions of common content. Language structure should be noted as one of the factors constraining the development of the Aztec script. It may be the polysynthesism of the structure of the Nahuatl language, which allows long series of syllables within an incorp
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Xing, Daitao, Jinglin Shen, Chiuman Ho, and Anthony Tzes. "ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 3 (2023): 2983–91. http://dx.doi.org/10.1609/aaai.v37i3.25401.

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The exploration of mutual-benefit cross-domains has shown great potential toward accurate self-supervised depth estimation. In this work, we revisit feature fusion between depth and semantic information and propose an efficient local adaptive attention method for geometric aware representation enhancement. Instead of building global connections or deforming attention across the feature space without restraint, we bound the spatial interaction within a learnable region of interest. In particular, we leverage geometric cues from semantic information to learn local adaptive bounding boxes to guid
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18

Forest, Pierre-Gerlier. "Les relations transnationales et l’intégration européenne : Note pour un modèle." Études internationales 12, no. 2 (2005): 343–60. http://dx.doi.org/10.7202/701197ar.

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The hypothesis of European Systems distinct from that or those composed of States is not new. In order to utilize this hypothesis effectively cognizance must be taken, in addition to the multiplicity of actors, of the rivalry of their projects and their strategies. Such an approach to the European reality would contribute to the construction of a new and useful model provided that certain methodological procedures are respected. Research efforts with respect to integration must not be subordinated to the examination of relations of interdependence within the international System. Ostensively s
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19

Gilbert, Stephen B., and Whitman Richards. "The Classification of Representational Forms." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 2244–48. http://dx.doi.org/10.1177/1071181319631530.

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Knowledge access and ease of problem-solving, using technology or not, depends upon our choice of representation. Because of our unique facility with language and pictures, these two descriptions are often used to characterize most representational forms, or their combinations, such as flow charts, tables, trees, graphs, or lists. Such a characterization suggests that language and pictures are the principal underlying cognitive dimensions for representational forms. However, we show that when similarity-based scaling methods (multidimensional scaling, hierarchical clustering, and trajectory ma
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20

Badre, David, and Mark D'Esposito. "Functional Magnetic Resonance Imaging Evidence for a Hierarchical Organization of the Prefrontal Cortex." Journal of Cognitive Neuroscience 19, no. 12 (2007): 2082–99. http://dx.doi.org/10.1162/jocn.2007.19.12.2082.

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The prefrontal cortex (PFC) is central to flexible and organized action. Recent theoretical and empirical results suggest that the rostro-caudal axis of the frontal lobes may reflect a hierarchical organization of control. Here, we test whether the rostro-caudal axis of the PFC is organized hierarchically, based on the level of abstraction at which multiple representations compete to guide selection of action. Four functional magnetic resonance imaging (fMRI) experiments parametrically manipulated the set of task-relevant (a) responses, (b) features, (c) dimensions, and (d) overlapping cue-to-
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Coiera, Enrico. "The qualitative representation of physical systems." Knowledge Engineering Review 7, no. 1 (1992): 55–77. http://dx.doi.org/10.1017/s0269888900006159.

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AbstractThe representation of physical systems using qualitative formalisms is examined in this review, with an emphasis on recent developments in the area. The push to develop reasoning systems incorporating deep knowledge originally focused on naive physical representations, but has now shifted to more formal ones based on qualitative mathematics. The qualitative differential constraint formalism used in systems like QSIM is examined, and current efforts to link this to competing representations like Qualitative Process Theory are noted. Inference and representation are intertwined, and the
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Gong, Zhichao, and Yidong Wei. "Adaptive Representation: A Moderate Stance on Predictive Processing." Social Sciences 14, no. 2 (2025): 78–86. https://doi.org/10.11648/j.ss.20251402.12.

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Predictive processing (PP), emerging as a novel research paradigm in contemporary cognitive science, offers a departure from both traditional computational representation views and 4E+S cognition perspectives. This theory advocates that the brain is a hierarchical prediction model based on Bayesian inference, which aims to minimize the difference between the predicted world and the actual world to prediction error minimization. In recent years, the problem of representation has emerged as a focal point in the philosophical examination of PP. This article introduces two primary strands of PP th
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Bai, Yue, Dipu Manandhar, Zhaowen Wang, John Collomosse, and Yun Fu. "Layout Representation Learning with Spatial and Structural Hierarchies." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 1 (2023): 206–14. http://dx.doi.org/10.1609/aaai.v37i1.25092.

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We present a novel hierarchical modeling method for layout representation learning, the core of design documents (e.g., user interface, poster, template). Existing works on layout representation often ignore element hierarchies, which is an important facet of layouts, and mainly rely on the spatial bounding boxes for feature extraction. This paper proposes a Spatial-Structural Hierarchical Auto-Encoder (SSH-AE) that learns hierarchical representation by treating a hierarchically annotated layout as a tree format. On the one side, we model SSH-AE from both spatial (semantic views) and structura
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Bracci, Stefania, Jakob Mraz, Astrid Zeman, Gaëlle Leys, and Hans Op de Beeck. "The representational hierarchy in human and artificial visual systems in the presence of object-scene regularities." PLOS Computational Biology 19, no. 4 (2023): e1011086. http://dx.doi.org/10.1371/journal.pcbi.1011086.

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Human vision is still largely unexplained. Computer vision made impressive progress on this front, but it is still unclear to which extent artificial neural networks approximate human object vision at the behavioral and neural levels. Here, we investigated whether machine object vision mimics the representational hierarchy of human object vision with an experimental design that allows testing within-domain representations for animals and scenes, as well as across-domain representations reflecting their real-world contextual regularities such as animal-scene pairs that often co-occur in the vis
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Mao, Yanying, and Honghui Chen. "Rule-Guided Compositional Representation Learning on Knowledge Graphs with Hierarchical Types." Mathematics 9, no. 16 (2021): 1978. http://dx.doi.org/10.3390/math9161978.

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The representation learning of the knowledge graph projects the entities and relationships in the triples into a low-dimensional continuous vector space. Early representation learning mostly focused on the information contained in the triplet itself but ignored other useful information. Since entities have different types of representations in different scenarios, the rich information in the types of entity levels is helpful for obtaining a more complete knowledge representation. In this paper, a new knowledge representation frame (TRKRL) combining rule path information and entity hierarchical
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Balandina, Nadiya. "Neolexemes with the Component Media in Dictionaries and Scientific Discourse on Social Communications." Scientific notes of the Institute of Journalism, no. 2 (83) (2023): 11–23. http://dx.doi.org/10.17721/2522-1272.2023.83.1.

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The article analyzes the array of innovative lexis which includes the component media and comprises 425 units from the perspective of mediadeterminism. The lexemes have been chosen using the Ukrainian lexicographic sources, the academic papers in the field of social communications and medialinguistics and also the monitoring of the Ukrainian Internet sector conducted during the period of January-March, 2023. The neolexemes with the component media have been proven to be an open dynamic system replenished constantly under the influence of technologies and socio-communicative transformations. Th
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Chen, Yuhao, Alexander Wong, Yuan Fang, Yifan Wu, and Linlin Xu. "Deep Residual Transform for Multi-scale Image Decomposition." Journal of Computational Vision and Imaging Systems 6, no. 1 (2021): 1–5. http://dx.doi.org/10.15353/jcvis.v6i1.3537.

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Multi-scale image decomposition (MID) is a fundamental task in computer vision and image processing that involves the transformation of an image into a hierarchical representation comprising of different levels of visual granularity from coarse structures to fine details. A well-engineered MID disentangles the image signal into meaningful components which can be used in a variety of applications such as image denoising, image compression, and object classification. Traditional MID approaches such as wavelet transforms tackle the problem through carefully designed basis functions under rigid de
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Chen, Xitong, Stephanie C. Leach, Juniper Hollis, Dillan Cellier, and Kai Hwang. "The thalamus encodes and updates context representations during hierarchical cognitive control." PLOS Biology 22, no. 12 (2024): e3002937. https://doi.org/10.1371/journal.pbio.3002937.

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Cognitive flexibility relies on hierarchically structured task representations that organize task contexts, relevant environmental features, and subordinate decisions. Despite ongoing interest in the human thalamus, its role in cognitive control has been understudied. This study explored thalamic representation and thalamocortical interactions that contribute to hierarchical cognitive control in humans. We found that several thalamic nuclei, including the anterior, mediodorsal, ventrolateral, and pulvinar nuclei, exhibited stronger evoked responses when subjects switch between task contexts. D
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TORRA, VICENÇ, and SADAAKI MIYAMOTO. "HIERARCHICAL SPHERICAL CLUSTERING." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, no. 02 (2002): 157–72. http://dx.doi.org/10.1142/s0218488502001399.

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This work introduces an alternative representation for large dimensional data sets. Instead of using 2D or 3D representations, data is located on the surface of a sphere. Together with this representation, a hierarchical clustering algorithm is defined to analyse and extract the structure of the data. The algorithm builds a hierarchical structure (a dendrogram) in such a way that different cuts of the structure lead to different partitions of the surface of the sphere. This can be seen as a set of concentric spheres, each one being of different granularity. Also, to obtain an initial assignmen
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Fiantika, F. R., and S. P. Setyawati. "Representation, representational transformation and spatial reasoning hierarchical in spatial thinking." Journal of Physics: Conference Series 1321 (October 2019): 022056. http://dx.doi.org/10.1088/1742-6596/1321/2/022056.

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Jiang, Linxing Preston, and Rajesh P. N. Rao. "Dynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortex." PLOS Computational Biology 20, no. 2 (2024): e1011801. http://dx.doi.org/10.1371/journal.pcbi.1011801.

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We introduce dynamic predictive coding, a hierarchical model of spatiotemporal prediction and sequence learning in the neocortex. The model assumes that higher cortical levels modulate the temporal dynamics of lower levels, correcting their predictions of dynamics using prediction errors. As a result, lower levels form representations that encode sequences at shorter timescales (e.g., a single step) while higher levels form representations that encode sequences at longer timescales (e.g., an entire sequence). We tested this model using a two-level neural network, where the top-down modulation
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Barsi, M., and A. Barsi. "TOPOLOGICAL ANOMALY DETECTION IN AUTOMOTIVE SIMULATOR MAPS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2022 (June 1, 2022): 343–48. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2022-343-2022.

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Abstract. Autonomous driving went through numerous significant improvements over the past couple of years, including driver assistants that are already capable of executing an increasing number of complex tasks without the need for any human intervention. As a result of these changes, manufacturers are relying more and more on fast, cheap, and often better-quality simulations over real-world tests. To create these environments, the real world needs to be transformed to a digital, high-definition model. HD maps – for example, the XML-based, hierarchic OpenDRIVE format – aim to serve this purpos
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Ferreira, João Elias Vidueira, and Gwendolyn Angela Lawrie. "Profiling the combinations of multiple representations used in large-class teaching: pathways to inclusive practices." Chemistry Education Research and Practice 20, no. 4 (2019): 902–23. http://dx.doi.org/10.1039/c9rp00001a.

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Teachers select multiple representations and adopt multiple visualization approaches in supporting their students to make meaning of chemical phenomena. Representational competence underpins students’ construction of their mental models of concepts thus it is important that teachers consider this while developing instructional resources. In tertiary chemistry, teachers typically use PowerPoint slides to guide lectures. This instructional resource is transferred between different teachers each semester and, while the sequence of topics are likely to be discussed and agreed upon, the content of
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Young, Paul, Nima Ebadi, Arun Das, Mazal Bethany, Kevin Desai, and Peyman Najafirad. "Can Hierarchical Transformers Learn Facial Geometry?" Sensors 23, no. 2 (2023): 929. http://dx.doi.org/10.3390/s23020929.

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Human faces are a core part of our identity and expression, and thus, understanding facial geometry is key to capturing this information. Automated systems that seek to make use of this information must have a way of modeling facial features in a way that makes them accessible. Hierarchical, multi-level architectures have the capability of capturing the different resolutions of representation involved. In this work, we propose using a hierarchical transformer architecture as a means of capturing a robust representation of facial geometry. We further demonstrate the versatility of our approach
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Idrissov, Agzam, Pedro Parraguez, and Anja M. Maier. "Tracing Paths and Connecting Multiple Design Domains: An Information Visualisation Approach to Product Architecture Modelling." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (2019): 3021–30. http://dx.doi.org/10.1017/dsi.2019.309.

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AbstractVisual representation of product architecture models is crucial in complex engineering systems design. However, when the number of entities in a model is large and when multiple levels of hierarchies are included, visual representations currently in use need to be more intuitive. As such, improved visual representations that enable better system overview and better communication of essential product- related information among design participants are needed. This paper uses interactive information visualisation techniques – collapsible hierarchical tree, edge bundling and alluvial diagr
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Lerdahl, Fred. "Concepts and Representations of Musical Hierarchies." Music Perception 33, no. 1 (2015): 83–95. http://dx.doi.org/10.1525/mp.2015.33.1.83.

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This paper undertakes a comparative study of concepts and visual representations of hierarchical aspects of musical structure. After consideration of the rhythmic components of grouping and meter, the discussion turns to pitch-event hierarchies and the tonal hierarchy (or pitch space). Contrasting notations are evaluated in terms of the efficacy of the concepts they exemplify.
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Ellerbrock, Roman, and Uwe Manthe. "A non-hierarchical correlation discrete variable representation." Journal of Chemical Physics 156, no. 13 (2022): 134107. http://dx.doi.org/10.1063/5.0088509.

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The correlation discrete variable representation (CDVR) facilitates (multi-layer) multi-configurational time-dependent Hartree (MCTDH) calculations with general potentials. It employs a layered grid representation to efficiently evaluate all potential matrix elements appearing in the MCTDH equations of motion. The original CDVR approach and its multi-layer extension show a hierarchical structure: the size of the grids employed at the different layers increases when moving from an upper layer to a lower one. In this work, a non-hierarchical CDVR approach, which uses identically structured quadr
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Yue, Zhihan, Yujing Wang, Juanyong Duan, et al. "TS2Vec: Towards Universal Representation of Time Series." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 8 (2022): 8980–87. http://dx.doi.org/10.1609/aaai.v36i8.20881.

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This paper presents TS2Vec, a universal framework for learning representations of time series in an arbitrary semantic level. Unlike existing methods, TS2Vec performs contrastive learning in a hierarchical way over augmented context views, which enables a robust contextual representation for each timestamp. Furthermore, to obtain the representation of an arbitrary sub-sequence in the time series, we can apply a simple aggregation over the representations of corresponding timestamps. We conduct extensive experiments on time series classification tasks to evaluate the quality of time series repr
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Luo, Ying, Fengshun Xiao, and Hai Zhao. "Hierarchical Contextualized Representation for Named Entity Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 8441–48. http://dx.doi.org/10.1609/aaai.v34i05.6363.

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Named entity recognition (NER) models are typically based on the architecture of Bi-directional LSTM (BiLSTM). The constraints of sequential nature and the modeling of single input prevent the full utilization of global information from larger scope, not only in the entire sentence, but also in the entire document (dataset). In this paper, we address these two deficiencies and propose a model augmented with hierarchical contextualized representation: sentence-level representation and document-level representation. In sentence-level, we take different contributions of words in a single sentence
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Wang, Bairui, Lin Ma, Wei Zhang, Wenhao Jiang, and Feng Zhang. "Hierarchical Photo-Scene Encoder for Album Storytelling." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8909–16. http://dx.doi.org/10.1609/aaai.v33i01.33018909.

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In this paper, we propose a novel model with a hierarchical photo-scene encoder and a reconstructor for the task of album storytelling. The photo-scene encoder contains two subencoders, namely the photo and scene encoders, which are stacked together and behave hierarchically to fully exploit the structure information of the photos within an album. Specifically, the photo encoder generates semantic representation for each photo while exploiting temporal relationships among them. The scene encoder, relying on the obtained photo representations, is responsible for detecting the scene changes and
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Liu Meng, 刘猛, 李腾 Li Teng, 刘旭东 Liu Xudong та 孙怡雯 Sun Yiwen. "基于稀疏表示的太赫兹时域光谱分层检测算法". Laser & Optoelectronics Progress 60, № 18 (2023): 1811014. http://dx.doi.org/10.3788/lop231372.

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Schumacher, Eric H., and Eliot Hazeltine. "Hierarchical Task Representation." Current Directions in Psychological Science 25, no. 6 (2016): 449–54. http://dx.doi.org/10.1177/0963721416665085.

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Human behavior is remarkably complex—even during the performance of relatively simple tasks—yet it is often assumed that learned associations between stimuli and responses provide the representational substrate for action selection. Here, we introduce an alternative framework, called a task file, that includes hierarchical associations between stimulus features, response features, goals, and drives, which may overcome the limitations inherent in the conceptualization of response selection as being based solely on associations between stimuli and responses. We then review evidence from our own
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McMahon, C. A., D. R. Cox, J. H. Sims Williams, and J. A. Scott. "Representation and reasoning in computer aided process planning." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 211, no. 6 (1997): 473–85. http://dx.doi.org/10.1243/0954405971516437.

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This article is concerned with part representation and reasoning algorithms for automatic process planning in CADCAM (computer aided design and manufacture). Process planning involves the translation of a part description into instructions for a sequence of operations for the manufacture of the part. Part representations in CADCAM are reviewed, and a hierarchical representation is introduced which describes parts as the set-theoretic union of positive (protrusion) features, with the set-theoretic union of negative (depression) features subtracted. The model information hierarchy also incorpora
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Ikeda, Tatsushi, and Akira Nakayama. "Collective bath coordinate mapping of “hierarchy” in hierarchical equations of motion." Journal of Chemical Physics 156, no. 10 (2022): 104104. http://dx.doi.org/10.1063/5.0082936.

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The theory of hierarchical equations of motion (HEOM) is one of the standard methods to give exact evaluations of the dynamics as coupled to harmonic oscillator environments. However, the theory is numerically demanding due to its hierarchy, which is the set of auxiliary elements introduced to capture the non-Markovian and non-perturbative effects of environments. When system–bath coupling becomes relatively strong, the required computational resources and precision move beyond the regime that can be currently handled. This article presents a new representation of HEOM theory in which the hier
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Li, Yingcong, and Samet Oymak. "Provable Pathways: Learning Multiple Tasks over Multiple Paths." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 7 (2023): 8701–10. http://dx.doi.org/10.1609/aaai.v37i7.26047.

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Constructing useful representations across a large number of tasks is a key requirement for sample-efficient intelligent systems. A traditional idea in multitask learning (MTL) is building a shared representation across tasks which can then be adapted to new tasks by tuning last layers. A desirable refinement of using a shared one-fits-all representation is to construct task-specific representations. To this end, recent PathNet/muNet architectures represent individual tasks as pathways within a larger supernet. The subnetworks induced by pathways can be viewed as task-specific representations
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Chen, Boli, Xin Huang, Lin Xiao, Zixin Cai, and Liping Jing. "Hyperbolic Interaction Model for Hierarchical Multi-Label Classification." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 7496–503. http://dx.doi.org/10.1609/aaai.v34i05.6247.

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Different from the traditional classification tasks which assume mutual exclusion of labels, hierarchical multi-label classification (HMLC) aims to assign multiple labels to every instance with the labels organized under hierarchical relations. Besides the labels, since linguistic ontologies are intrinsic hierarchies, the conceptual relations between words can also form hierarchical structures. Thus it can be a challenge to learn mappings from word hierarchies to label hierarchies. We propose to model the word and label hierarchies by embedding them jointly in the hyperbolic space. The main re
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Yuan, Xiaobin, Jingping Zhu, Hao Lei, Shengjun Peng, Weidong Wang, and Xiaobin Li. "Duplex-Hierarchy Representation Learning for Remote Sensing Image Classification." Sensors 24, no. 4 (2024): 1130. http://dx.doi.org/10.3390/s24041130.

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Remote sensing image classification (RSIC) is designed to assign specific semantic labels to aerial images, which is significant and fundamental in many applications. In recent years, substantial work has been conducted on RSIC with the help of deep learning models. Even though these models have greatly enhanced the performance of RSIC, the issues of diversity in the same class and similarity between different classes in remote sensing images remain huge challenges for RSIC. To solve these problems, a duplex-hierarchy representation learning (DHRL) method is proposed. The proposed DHRL method
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Yang, Jinyu, Peilin Zhao, Yu Rong, et al. "Hierarchical Graph Capsule Network." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 12 (2021): 10603–11. http://dx.doi.org/10.1609/aaai.v35i12.17268.

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Graph Neural Networks (GNNs) draw their strength from explicitly modeling the topological information of structured data. However, existing GNNs suffer from limited capability in capturing the hierarchical graph representation which plays an important role in graph classification. In this paper, we innovatively propose hierarchical graph capsule network (HGCN) that can jointly learn node embeddings and extract graph hierarchies. Specifically, disentangled graph capsules are established by identifying heterogeneous factors underlying each node, such that their instantiation parameters represent
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Quan, Zhibang, Tao Sun, Mengli Su, and Jishu Wei. "Multimodal Sentiment Analysis Based on Cross-Modal Attention and Gated Cyclic Hierarchical Fusion Networks." Computational Intelligence and Neuroscience 2022 (August 9, 2022): 1–12. http://dx.doi.org/10.1155/2022/4767437.

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Multimodal sentiment analysis has been an active subfield in natural language processing. This makes multimodal sentiment tasks challenging due to the use of different sources for predicting a speaker’s sentiment. Previous research has focused on extracting single contextual information within a modality and trying different modality fusion stages to improve prediction accuracy. However, a factor that may lead to poor model performance is that this does not consider the variability between modalities. Furthermore, existing fusion methods tend to extract the representational information of indi
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Yahia, Amina. "The hierarchical representation of binary relations: application to the design of class hierarchies." International Journal of Computing and Optimization 2 (2015): 53–62. http://dx.doi.org/10.12988/ijco.2015.512.

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