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Zeitschriftenartikel zum Thema „Attributs temporels“

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Veröffentlicht am 25. Mai 2024

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1

RANDALL, D. J., H. J. HAMILTON, and R. J. HILDERMAN. "TEMPORAL GENERALIZATION WITH DOMAIN GENERALIZATION GRAPHS." International Journal of Pattern Recognition and Artificial Intelligence 13, no. 02 (1999): 195–217. http://dx.doi.org/10.1142/s0218001499000124.

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This paper addresses the problem of using domain generalization graphs to generalize temporal data extracted from relational databases. A domain generalization graph associated with an attribute defines a partial order which represents a set of generalization relations for the attribute. We propose formal specifications for domain generalization graphs associated with calendar (date and time) attributes. These graphs are reusable (i.e. can be used to generalize any calendar attributes), adaptable (i.e. can be extended or restricted as appropriate for particular applications), and transportable

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Nguyen, Ha, and Wendy V. Wismer. "Temporal Sensory Profiles of Regular and Sodium-Reduced Foods Elicited by Temporal Dominance of Sensations (TDS) and Temporal Check-All-That-Apply (TCATA)." Foods 11, no. 3 (2022): 457. http://dx.doi.org/10.3390/foods11030457.

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Temporal sensory methods can be used to highlight the impact of sodium reduction on the dynamic sensory profile of foods targeted for sodium reduction. Study aims were to compare the temporal sensory attribute profiles of regular and sodium-reduced food products elicited by TDS and TCATA, over single and multiple oral intakes. A total of 20 semi-trained participants evaluated commercially available regular and sodium-reduced canned corn, cooked ham (single intakes), potato chips and cream of mushroom soup (5 intakes) using both TDS and TCATA. Regular and sodium-reduced products differed in not

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Chalyi, Serhii, and Ievgen Bogatov. "METHOD OF CONSTRUCTING AN ATTRIBUTE DESCRIPTION OF THE BUSINESS PROCESS "AS IS" IN THE PROCESS APPROACH TO ENTERPRISE MANAGEMENT." EUREKA: Physics and Engineering 6 (November 30, 2018): 35–40. http://dx.doi.org/10.21303/2461-4262.2018.00786.

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The problem of constructing an attribute description of a business process with the automated formation of process models “as is” using logs of information systems in which the tracks of individual processes are not identified is considered. It is shown that to solve this problem, it is advisable to distinguish the distinctive properties of individual business processes represented by the attributes of log events. A method for constructing an attribute description of a business process is proposed. The method is based on the comparison of combinations of attributes for intervals of events of a

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Fujisaki, Waka, and Shin'ya Nishida. "Sensory Attribute Identification Time Cannot Explain the Common Temporal Limit of Binding Different Attributes and Modalities." i-Perception 2, no. 8 (2011): 758. http://dx.doi.org/10.1068/ic758.

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Wu, Bo, Xun Liang, Xiangping Zheng, and Jun Wang. "Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (2023): 16360–61. http://dx.doi.org/10.1609/aaai.v37i13.27040.

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Node attribute forecasting has recently attracted considerable attention. Recent attempts have thus far utilize dynamic graph convolutional network (GCN) to predict future node attributes. However, few prior works have notice that the complex spatial and temporal interaction between nodes, which will hamper the performance of dynamic GCN. In this paper, we propose a new dynamic GCN model named meta-DGCN, leveraging meta spatial-temporal tasks to enhance the ability of dynamic GCN for better capturing node attributes in the future. Experiments show that meta-DGCN effectively modeling comprehens

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Fan, Wenfei, Resul Tugay, Yaoshu Wang, Min Xie, and Muhammad Asif Ali. "Learning and Deducing Temporal Orders." Proceedings of the VLDB Endowment 16, no. 8 (2023): 1944–57. http://dx.doi.org/10.14778/3594512.3594524.

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This paper studies how to determine temporal orders on attribute values in a set of tuples that pertain to the same entity, in the absence of complete timestamps. We propose a creator-critic framework to learn and deduce temporal orders by combining deep learning and rule-based deduction, referred to as GATE (Get the lATEst). The creator of GATE trains a ranking model via deep learning, to learn temporal orders and rank attribute values based on correlations among the attributes. The critic then validates the temporal orders learned and deduces more ranked pairs by chasing the data with curren

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Colloc, Joël, Relwendé Aristide Yameogo, Peter Summons, Lilian Loubet, Jean-Bernard Cavelier, and Paul Bridier. "A Temporal Case-Based Reasoning Platform Relying on a Fuzzy Vector Spaces Object-Oriented Model and a Method to Design Knowledge Bases and Decision Support Systems in Multiple Domains." Algorithms 15, no. 2 (2022): 66. http://dx.doi.org/10.3390/a15020066.

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Knowledge bases in complex domains must take into account many attributes describing numerous objects that are themselves components of complex objects. Temporal case-based reasoning (TCBR) requires comparing the structural evolution of component objects and their states (attribute values) at different levels of granularity. This paper provides some significant contributions to computer science. It extends a fuzzy vector space object-oriented model and method (FVSOOMM) to present a new platform and a method guideline capable of designing objects and attributes that represent timepoint knowledg

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Newton, Peter F. "Developmental Trends of Black Spruce Fibre Attributes in Maturing Plantations." International Journal of Forestry Research 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/7895289.

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This study assessed the temporal developmental patterns of commercially relevant fibre attributes (tracheid length and diameters, wall thickness, specific surface area, wood density, microfibril angle, fibre coarseness, and modulus of elasticity) and their interrelationships within maturing black spruce (Picea mariana (Mill.) B.S.P.) plantations. A size-based stratified random sample procedure within 5 semimature plantations located in the Canadian Boreal Forest Region was used to select 50 trees from which radial cross-sectional xylem sequences at breast-height (1.3 m) were cut and analyzed.

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Altuna, Begoña, María Jesús Aranzabe, and Arantza Díaz de Ilarraza. "EusTimeML: A mark-up language for temporal information in Basque." Research in Corpus Linguistics 8 (2020): 86–104. http://dx.doi.org/10.32714/ricl.08.01.06.

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We present EusTimeML, a mark-up language for temporal information in texts written in Basque. It is compliant with the TimeML specifications, while offering some adapted attributes and attribute values in order to represent the language-specific features of Basque. In particular, alterations have been carried out for verb tense, aspect and modality coding, as well as for time expression and signal annotation. EusTimeML also provides a major extension to the existing TimeML schemes, since the attributes and values for factuality annotation have been added to the existing temporal information an

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Liu, Yaqin, Yunsi Chen, Qing He, and Qian Yu. "Cyclical Evolution of Emerging Technology Innovation Network from a Temporal Network Perspective." Systems 11, no. 2 (2023): 82. http://dx.doi.org/10.3390/systems11020082.

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With the cyclical development of emerging technologies, in reality, the evolution dynamics of their innovation networks will inevitably show obvious time attributes. Numerous network analyses of real complex systems usually focus on static networks; however, it is difficult to describe that most real networks undergo topological evolutions over time. Temporal networks, which incorporate time attributes into traditional static network models, can more accurately depict the temporal features of network evolution. Here, we introduced the time attribute of the life cycle of emerging technology int

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Triska, Jan, and Vilem Vychodil. "Logic of temporal attribute implications." Annals of Mathematics and Artificial Intelligence 79, no. 4 (2016): 307–35. http://dx.doi.org/10.1007/s10472-016-9526-6.

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Liu, Jing, and Yong Zhong. "Time-Weighted Community Search Based on Interest." Applied Sciences 12, no. 14 (2022): 7077. http://dx.doi.org/10.3390/app12147077.

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Community search aims to provide users with personalized community query services. It is a prerequisite for various recommendation systems and has received widespread attention from academia and industry. The existing literature has established various community search models and algorithms from different dimensions of social networks. Unfortunately, they only judge the representative attributes of users according to the frequency of attribute keywords, completely ignoring the temporal characteristics of keywords. It is clear that a user’s interest changes over time, so it is essential to sele

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Kesner, Raymond P., and Michael R. Hunsaker. "The temporal attributes of episodic memory." Behavioural Brain Research 215, no. 2 (2010): 299–309. http://dx.doi.org/10.1016/j.bbr.2009.12.029.

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Triska, Jan, and Vilem Vychodil. "Minimal bases of temporal attribute implications." Annals of Mathematics and Artificial Intelligence 83, no. 1 (2018): 73–97. http://dx.doi.org/10.1007/s10472-018-9576-z.

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Di Monaco, Rossella, Nicoletta Antonella Miele, Stefania Volpe, Paolo Masi, and Silvana Cavella. "Temporal dominance of sensations and dynamic liking evaluation of polenta sticks." British Food Journal 118, no. 3 (2016): 749–60. http://dx.doi.org/10.1108/bfj-07-2015-0236.

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Purpose – Temporal dominance of sensation (TDS) is a sensory method developed by Pineau et al. (2003) which studies the sequence of dominant sensations of a product during its consumption. TDS is believed to be more appropriate to explain consumer responses than static descriptive analysis due to its temporal element. The purpose of this paper is to define the temporal sensory profile of a new product: polenta stick. In particular, TDS method was used to measure the dominance of sensory attributes in polenta stick samples and dynamic consumer tests were performed in order to verify if the acce

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Ratan Murty, N. Apurva, and S. P. Arun. "Multiplicative mixing of object identity and image attributes in single inferior temporal neurons." Proceedings of the National Academy of Sciences 115, no. 14 (2018): E3276—E3285. http://dx.doi.org/10.1073/pnas.1714287115.

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Object recognition is challenging because the same object can produce vastly different images, mixing signals related to its identity with signals due to its image attributes, such as size, position, rotation, etc. Previous studies have shown that both signals are present in high-level visual areas, but precisely how they are combined has remained unclear. One possibility is that neurons might encode identity and attribute signals multiplicatively so that each can be efficiently decoded without interference from the other. Here, we show that, in high-level visual cortex, responses of single ne

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Poom, Leo. "Visual Inter-Attribute Contour Completion." Perception 30, no. 7 (2001): 855–65. http://dx.doi.org/10.1068/p3222.

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A new visual phenomenon, inter-attribute illusory (completed) contours, is demonstrated. Contour completions are perceived between any combination of spatially separate pairs of inducing elements (Kanizsa-like ‘pacman’ figures) defined either by pictorial cues (luminance contrast or offset gratings), temporal contrast (motion, second-order-motion or ‘phantom’ contours), or binocular-disparity contrast. In a first experiment, observers reported the perceived occurrence of contour completion for all pair combinations of inducing elements. In a second experiment they rated the perceived clarity o

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Wen, Minwei, Hongyan Mei, Wei Wang, and Xing Zhang. "Enhanced Temporal Knowledge Graph Completion via Learning High-Order Connectivity and Attribute Information." Applied Sciences 13, no. 22 (2023): 12392. http://dx.doi.org/10.3390/app132212392.

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Temporal knowledge graph completion (TKGC) refers to the prediction and filling in of missing facts on time series, which is essential for many downstream applications. However, many existing TKGC methods suffer from two limitations: (1) they only consider direct relations between entities and fail to express high-order structural dependencies between entities; and (2) they only leverage relation quadruples of temporal knowledge graphs, ignoring attribute information that contains rich semantic information. This makes them vulnerable to sparsity and incompleteness problems. In response, we pro

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Batista-Silva, Valéria Flávia, Daiane Dias Boneto, Dayani Bailly, Milza Celi Fedatto Abelha, and Elaine Antoniassi Luiz Kashiwaqui. "Invertebrates associated to Eichhornea azurea Kunth in a lagoon of the Upper Paraná River: composition, community attributes and influence of abiotic factors." Acta Limnologica Brasiliensia 23, no. 4 (2012): 376–85. http://dx.doi.org/10.1590/s2179-975x2012005000016.

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AIM: We evaluated the composition and community attributes of invertebrates associated to Eichhornia azurea at Cascalho Lagoon, Upper Paraná River, Mato Grosso do Sul State, Brazil, over a hydrological cycle, as well the possible influence of abiotic factors upon these attributes. METHODS: The samplings were conducted during 2010 in the rainy and dry periods at stands of E. azurea. The attributes evaluated were abundance, richness, diversity, evenness and dominance. The abiotic factors, temperature, dissolved oxygen, pH and turbidity were summarized by a Principal Component Analysis (PCA). In

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Lei, X., W. Song, R. Fan, R. Feng, and L. Wang. "LAND SUBSIDENCE PREDICTION THROUGH MODELING OF TEMPORAL ATTRIBUTE PREDICTION OF KNOWLEDGE GRAPH." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2022 (May 18, 2022): 9–15. http://dx.doi.org/10.5194/isprs-annals-v-4-2022-9-2022.

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Abstract. Land subsidence is a geological disaster. It will lead to the decline of land elevation, resulting in the potential safety hazards of urban facilities. Thus, the prediction of land subsidence displacement is significant. Among the existing prediction methods, the methods based on the time-series prediction model only analyze the settlement series data without considering the settlement mechanism, so they are easy to apply. However, they less consider the influence of other factors on land subsidence. Besides, they independently input displacement time-series data from different monit

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Gallo, Bruna, José Demattê, Rodnei Rizzo, et al. "Multi-Temporal Satellite Images on Topsoil Attribute Quantification and the Relationship with Soil Classes and Geology." Remote Sensing 10, no. 10 (2018): 1571. http://dx.doi.org/10.3390/rs10101571.

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The mapping of soil attributes provides support to agricultural planning and land use monitoring, which consequently aids the improvement of soil quality and food production. Landsat 5 Thematic Mapper (TM) images are often used to estimate a given soil attribute (i.e., clay), but have the potential to model many other attributes, providing input for soil mapping applications. In this paper, we aim to evaluate a Bare Soil Composite Image (BSCI) from the state of São Paulo, Brazil, calculated from a multi-temporal dataset, and study its relationship with topsoil properties, such as soil class an

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Ruhl, Katharine C., and Mark F. Seeman. "The Temporal and Social Implications of Ohio Hopewell Copper Ear Spool Design." American Antiquity 63, no. 4 (1998): 651–62. http://dx.doi.org/10.2307/2694113.

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In a recent synthesis of style theory, Carr (1995) proposed a model based on attribute hierarchies, which reveal social patterns. The present study applies Carr's model of style to a large sample of bicymbal copper ear spools, a diagnostic “Hopewell” artifact class of the Middle Woodland period (ca. 150 B.C.—A.D. 400) in eastern North America. After ear spool attributes are defined and ranked for their visibility, a seriation of the ear spools is developed and tested for time and space correlations. Results are consistent with the interpretation that the size of social groups participating in

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Lee, Geonu, Kimin Yun, and Jungchan Cho. "Occluded Pedestrian-Attribute Recognition for Video Sensors Using Group Sparsity." Sensors 22, no. 17 (2022): 6626. http://dx.doi.org/10.3390/s22176626.

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Pedestrians are often obstructed by other objects or people in real-world vision sensors. These obstacles make pedestrian-attribute recognition (PAR) difficult; hence, occlusion processing for visual sensing is a key issue in PAR. To address this problem, we first formulate the identification of non-occluded frames as temporal attention based on the sparsity of a crowded video. In other words, a model for PAR is guided to prevent paying attention to the occluded frame. However, we deduced that this approach cannot include a correlation between attributes when occlusion occurs. For example, “bo

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Tseng, Chien-Hao, Chia-Chien Hsieh, Dah-Jing Jwo, Jyh-Horng Wu, Ruey-Kai Sheu, and Lun-Chi Chen. "Person Retrieval in Video Surveillance Using Deep Learning–Based Instance Segmentation." Journal of Sensors 2021 (August 21, 2021): 1–12. http://dx.doi.org/10.1155/2021/9566628.

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Video surveillance systems are deployed at many places such as airports, train stations, and malls for security and monitoring purposes. However, it is laborious to search for and retrieve persons in multicamera surveillance systems, especially with cluttered backgrounds and appearance variations among multiple cameras. To solve these problems, this paper proposes a person retrieval method that extracts the attributes of a masked image using an instance segmentation module for each object of interest. It uses attributes such as color and type of clothes to describe a person. The proposed perso

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Maity, Debotyam, and Fred Aminzadeh. "Novel fracture zone identifier attribute using geophysical and well log data for unconventional reservoirs." Interpretation 3, no. 3 (2015): T155—T167. http://dx.doi.org/10.1190/int-2015-0003.1.

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We have characterized a promising geothermal prospect using an integrated approach involving microseismic monitoring data, well logs, and 3D surface seismic data. We have used seismic as well as microseismic data along with well logs to better predict the reservoir properties to try and analyze the reservoir for improved mapping of natural and induced fractures. We used microseismic-derived velocity models for geomechanical modeling and combined these geomechanical attributes with seismic and log-derived attributes for improved fracture characterization of an unconventional reservoir. We have

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Seyedy, Mahmoud, та Ehsan Kordi. "Critical Review of the Mu'tazilī Theory of the Creation (Ḥudūth)of the Qur’an in Qāḍī Abd al-Jabbār’s Opinion, Regarding Imam Reza's Narrations". International Journal of Multicultural and Multireligious Understanding 6, № 4 (2019): 328. http://dx.doi.org/10.18415/ijmmu.v6i4.985.

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The issue of creation/origin (Ḥudūth) or pre-eternity (Qidam) of the Qur’an was one of the oldest theological debates in Muslim world which has been discussed under the title of the word (Kalām or speech) attribute of God. Qāḍī Abd al-Jabbār, one the most important scholars of the Mu’tazilī school, gives several reasons to prove the origin and creation of the Qur’an. Referring to the hadiths (narrations) of Imam Reza (AS), his arguments lead to the temporal origin and gradual descent of the words and sounds of the Qur'an. However, since this is related to the word of God, the arguments of Abdu

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Das, Badhan Chandra, Md Musfique Anwar, Md Al-Amin Bhuiyan, Iqbal H. Sarker, Salem A. Alyami, and Mohammad Ali Moni. "Attribute Driven Temporal Active Online Community Search." IEEE Access 9 (2021): 93976–89. http://dx.doi.org/10.1109/access.2021.3093368.

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Bartels, A., and S. Zeki. "The temporal order of binding visual attributes." Vision Research 46, no. 14 (2006): 2280–86. http://dx.doi.org/10.1016/j.visres.2005.11.017.

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Böhlen, Michael, Johann Gamper, and Christian S. Jensen. "An algebraic framework for temporal attribute characteristics." Annals of Mathematics and Artificial Intelligence 46, no. 3 (2006): 349–74. http://dx.doi.org/10.1007/s10472-006-9022-5.

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Kim, Kowoon, and Hong-Youl Ha. "Do Changes in Attribute Weights between Two Platforms Alter Interplay Effects in the O2O Era? Two Time-Lag Intervals in the Tourism Sector." Sustainability 15, no. 14 (2023): 10789. http://dx.doi.org/10.3390/su151410789.

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Hotels and their online agencies have an interplay effect on the online-to-offline (O2O) platform. Since the new platform cannot do business with one service provider alone, understanding the changes in attributes that determine service satisfaction during subsequent consumption events is crucial. Despite such interrelationships between online agency services and offline hotel services, there remains a dearth of empirical research on this issue. Grounded in the consumption system approach, the present paper attempted to empirically examine the temporal, carryover, and interplay relationships a

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Victor, Jonathan D., and Keith P. Purpura. "Spatial Phase and the Temporal Structure of the Response to Gratings in V1." Journal of Neurophysiology 80, no. 2 (1998): 554–71. http://dx.doi.org/10.1152/jn.1998.80.2.554.

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Victor, Jonathan D. and Keith P. Purpura. Spatial phase and the temporal structure of the response to gratings in V1. J. Neurophysiol. 80: 554–571, 1998. We recorded single-unit activity of 25 units in the parafoveal representation of macaque V1 to transient appearance of sinusoidal gratings. Gratings were systematically varied in spatial phase and in one or two of the following: contrast, spatial frequency, and orientation. Individual responses were compared based on spike counts, and also according to metrics sensitive to spike timing. For each metric, the extent of stimulus-dependent cluste

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Libak, Audun, Behzad Alaei, and Anita Torabi. "Fault visualization and identification in fault seismic attribute volumes: Implications for fault geometric characterization." Interpretation 5, no. 2 (2017): B1—B16. http://dx.doi.org/10.1190/int-2016-0152.1.

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Fault seismic attribute volumes (such as volumetric coherence and curvature) represent an efficient and objective way to visualize and identify faults in seismic cubes. Fault geometric attributes such as length, height, and fault segmentation can be extracted from such fault seismic attribute volumes. We evaluate the strengths and pitfalls of using coherence volumes for characterization of fault geometry. The results are obtained using a database from the Barents Sea, which contains 35 3D seismic cubes, together with conceptual synthetic seismic models. A high signal-to-noise ratio is a requir

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Natsume, Hiroharu, Shogo Okamoto, and Hikaru Nagano. "TDS Similarity: Outlier Analysis Using a Similarity Index to Compare Time-Series Responses of Temporal Dominance of Sensations Tasks." Foods 12, no. 10 (2023): 2025. http://dx.doi.org/10.3390/foods12102025.

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Temporal dominance of sensations (TDS) methods are used to record temporally developing sensations while eating food samples. Results of TDS tasks are typically discussed using averages across multiple trials and panels, and few methods have been developed to analyze differences between individual trials. We defined a similarity index between two time-series responses of TDS tasks. This index adopts a dynamic level to determine the importance of the timing of attribute selection. With a small dynamic level, the index focuses on the duration for attributes to be selected rather than on the timi

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Chen, Wen Qiang, Guo Qiang Xiao, and Xiao Qin Tang. "An Action Recognition Model Based on the Bayesian Networks." Applied Mechanics and Materials 513-517 (February 2014): 1886–89. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1886.

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In this paper, we propose a novel human action recognition method based on Bayesian network model and high-level semantic concept (human action attribute). Firstly, we extract 3D-SIFT descriptors for each spatio-temporal interest point in the videos. Secondly, the bag of words is used as the low-level feature to represent these videos. Finally, Bayesian networks related to action attributes are trained based on MAP (Maximum A Posterior Probability) to recognize human behavior. The experimental results show that the proposed model is effective on action recognition.

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Zhang, Wei, Tao Zhang, Zhengbo Fu, Ping Ai, Guoqing Yao, and Jianwei Qi. "Emerging Spatio-temporal Hot Spot Analysis of Beijing Subsidence Trend Detection Based on PS-InSAR." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1-2024 (May 11, 2024): 861–66. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-2024-861-2024.

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Abstract. Scholars have done a lot of research on urban settlement, but it is difficult to give consideration to the temporal and spatial attributes of settlement at the same time in its display and analysis. Most of them focused on the analysis of regional settlement, single point settlement curve and settlement rate map at a certain time, but few combined time and space for collaborative analysis. Therefore, in this paper, 32 scenes Sentinel-1B SAR data are used to obtain settlement data of Beijing via PS-InSAR method. Secondly, combined with the temporal and spatial attributes of settlement

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Bossak, Brian H., and Mark R. Welford. "Spatio-Temporal Attributes of Pandemic and Epidemic Diseases." Geography Compass 4, no. 8 (2010): 1084–96. http://dx.doi.org/10.1111/j.1749-8198.2010.00355.x.

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Gao, Junyu, Tianzhu Zhang, and Changsheng Xu. "I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8303–11. http://dx.doi.org/10.1609/aaai.v33i01.33018303.

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Recently, with the ever-growing action categories, zero-shot action recognition (ZSAR) has been achieved by automatically mining the underlying concepts (e.g., actions, attributes) in videos. However, most existing methods only exploit the visual cues of these concepts but ignore external knowledge information for modeling explicit relationships between them. In fact, humans have remarkable ability to transfer knowledge learned from familiar classes to recognize unfamiliar classes. To narrow the knowledge gap between existing methods and humans, we propose an end-to-end ZSAR framework based on

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Li, Sihan, and Qi Li. "Revolutionary Strategy for Depicting Knowledge Graphs with Temporal Attributes." Mathematics 12, no. 9 (2024): 1324. http://dx.doi.org/10.3390/math12091324.

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In practical applications, the temporal completeness of knowledge graphs is of great importance. However, previous studies have mostly focused on static knowledge graphs, generally neglecting the dynamic evolutionary properties of facts. Moreover, the unpredictable and limited availability of temporal knowledge graphs, together with the complex temporal dependency patterns, make current models inadequate for effectively describing facts that experience temporal transitions. To better represent the evolution of things over time, we provide a learning technique that uses quaternion rotation to d

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Stepanov, Alexander. "The Correlation between Social and Artifact Meanings of Spatial Conject Nouns in Modern English." Izvestia of Smolensk State University, no. 1(57) (July 3, 2022): 101–14. http://dx.doi.org/10.35785/2072-9464-2022-57-1-101-114.

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The article is devoted to the research of modern English special conject noun attribute system. Special attention is drawn to the special conjects nouns with social meaning and their comparison to artifact conject nouns. The material of this research is based on a sampling frame of 860 modern English conject nouns with social and artifact meaning. To study the selected group of nouns, Pearson’s correlation analysis is used. The article has established presence or absence of semantic and formal at- tributes from the list for the selected nouns. Correlat

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Tikhonova, E. S. "Ways to Specify Temporal Nouns in the “Livonian Rhymed Chronicle”." Discourse 5, no. 4 (2019): 128–37. http://dx.doi.org/10.32603/2412-8562-2019-5-4-128-137.

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Introduction. Introduction explores synchronic and diachronic researches of temporal nouns in German as well as their classifications. Combinations of time adverbials with attributes of different kind in the Middle High German period are studied insufficiently. The research was conducted in the field of historical pragmatics, which allows to specify the speaker’s attitude to a statement.Methodology and sources. Material for the research is the “Livonian Rhymed Chronicle”. Provenience, specifics and the study of this text in linguistics and historiography as well as different points of view on

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Virgl, John A., W. James Rettie, and Daniel W. Coulton. "Spatial and temporal changes in seasonal range attributes in a declining barren-ground caribou herd." Rangifer 37, no. 1 (2017): 31. http://dx.doi.org/10.7557/2.37.1.4115.

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From 1996 to 2015 the Bathurst caribou herd has declined from approximately 349,000 to 20,000 animals. Aboriginal traditional knowledge (TK) has recently observed the later arrival of the herd below the treeline, an attribute of the autumn range. Science also predicts that seasonal range attributes (e.g., area, location) likely vary with population size, and perhaps climate. We used Aboriginal TK and science to identify several seasonal range attributes that were examined for changes through time (decreasing population abundance). Attributes of seasonal ranges for female Bathurst caribou were

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Ran, Yijun, Si-Yuan Liu, Xiaoyao Yu, Ke-Ke Shang, and Tao Jia. "Predicting future links with new nodes in temporal academic networks." Journal of Physics: Complexity 3, no. 1 (2022): 015006. http://dx.doi.org/10.1088/2632-072x/ac4bee.

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Abstract Most real-world systems evolve over time in which entities and the interactions between entities are added and removed—new entities or relationships appear and old entities or relationships vanish. While most network evolutionary models can provide an iterative process for constructing global properties, they cannot capture the evolutionary mechanisms of real systems. Link prediction is hence proposed to predict future links which also can help us understand the evolution law of real systems. The aim of link prediction is to uncover missing links from known parts of the network or qua

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Mummery, C. J., K. Patterson, J. R. Hodges, and C. J. Price. "Functional Neuroanatomy of the Semantic System: Divisible by What?" Journal of Cognitive Neuroscience 10, no. 6 (1998): 766–77. http://dx.doi.org/10.1162/089892998563059.

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Studies of patients with brain damage suggest that specific brain regions may be differentially involved in representing/processing certain categories of conceptual knowledge. With regard to the dissociation that has received the most attention—between the domains of living things and artifacts—a debate continues as to whether these category-specific effects reflect neural implementation of categories directly or some more basic properties of brain organization. The present positron emission tomography (PET) study addressed this issue by probing explicitly for differential activation associate

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Marzuqi, Ahmad, Kusuma Ayu Laksitowening, and Ibnu Asror. "Temporal Prediction on Students’ Graduation using Naïve Bayes and K-Nearest Neighbor Algorithm." JURNAL MEDIA INFORMATIKA BUDIDARMA 5, no. 2 (2021): 682. http://dx.doi.org/10.30865/mib.v5i2.2919.

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Accreditation is a form of assessment of the feasibility and quality of higher education. One of the accreditation assessment factors is the percentage of graduation on time. A low percentage of on-time graduations can affect the assessment of accreditation of study programs. Predicting student graduation can be a solution to this problem. The prediction results can show that students are at risk of not graduating on time. Temporal prediction allows students and study programs to do the necessary treatment early. Prediction of graduation can use the learning analytics method, using a combinati

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Lakshmanan, Valliappa, and Travis Smith. "Data Mining Storm Attributes from Spatial Grids." Journal of Atmospheric and Oceanic Technology 26, no. 11 (2009): 2353–65. http://dx.doi.org/10.1175/2009jtecha1257.1.

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Abstract A technique to identify storms and capture scalar features within the geographic and temporal extent of the identified storms is described. The identification technique relies on clustering grid points in an observation field to find self-similar and spatially coherent clusters that meet the traditional understanding of what storms are. From these storms, geometric, spatial, and temporal features can be extracted. These scalar features can then be data mined to answer many types of research questions in an objective, data-driven manner. This is illustrated by using the technique to an

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Visalli, Michel, and Mara Virginia Galmarini. "Multi-attribute temporal descriptive methods in sensory analysis applied in food science: Protocol for a scoping review." PLOS ONE 17, no. 7 (2022): e0270969. http://dx.doi.org/10.1371/journal.pone.0270969.

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Background Sensory perception is a temporal phenomenon highly present in food evaluation. Over the last decades, several sensory analysis methods have been developed to determine how our processing of the stimuli changes during tasting. These methods differ in several parameters: how attributes are characterized (intensity, dominance or applicability), the number of attributes evaluated, the moment of sample characterization (simultaneously with the tasting in continuous or discrete time, retrospectively), the required panel (trained subjects or consumers), etc. At the moment, there is no syst

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Tsogli, Vera, Sebastian Jentschke, and Stefan Koelsch. "Unpredictability of the “when” influences prediction error processing of the “what” and “where”." PLOS ONE 17, no. 2 (2022): e0263373. http://dx.doi.org/10.1371/journal.pone.0263373.

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The capability to establish accurate predictions is an integral part of learning. Whether predictions about different dimensions of a stimulus interact with each other, and whether such an interaction affects learning, has remained elusive. We conducted a statistical learning study with EEG (electroencephalography), where a stream of consecutive sound triplets was presented with deviants that were either: (a) statistical, depending on the triplet ending probability, (b) physical, due to a change in sound location or (c) double deviants, i.e. a combination of the two. We manipulated the predict

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Visentin, Marco, Gian Luca Marzocchi, and Alessandra Zammit. "L'interazione fra effetto olistico e rappresentazione temporale nella percezione delle marche." MERCATI & COMPETITIVITÀ, no. 1 (March 2011): 11–31. http://dx.doi.org/10.3280/mc2011-001002.

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L'obiettivo di questo studio č di analizzare l'interazione fra il pregiudizio olistico di marca e i livelli di rappresentazione degli oggetti percepiti. I nostri risultati documentano empiricamente che la semplice presentazione del compito di scelta fra marche con orizzonti temporali diversi non determina differenze significative nella percezione degli oggetti. Questo effetto si osserva sia per i giudizi basati su attributi che per quelli basati su distanze. Una volta che i giudizi lungo attributi vengono depurati dall'effetto olistico, la distanza temporale separa significativamente le rappre

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Azarnoush, Bahareh, Kamran Paynabar, Jennifer Bekki, and George Runger. "Monitoring Temporal Homogeneity in Attributed Network Streams." Journal of Quality Technology 48, no. 1 (2016): 28–43. http://dx.doi.org/10.1080/00224065.2016.11918149.

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CHEN, Changhong, Hehe DOU, and Zongliang GAN. "Collective Activity Recognition by Attribute-Based Spatio-Temporal Descriptor." IEICE Transactions on Information and Systems E98.D, no. 10 (2015): 1875–78. http://dx.doi.org/10.1587/transinf.2015edl8108.

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