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Articles de revues sur le sujet « Multidimensional encoding »

Auteur : Grafiati

Publié le 16 juillet 2024

Mis à jour le 31 juillet 2025

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1

Eurich, Christian W., and Stefan D. Wilke. "Multidimensional Encoding Strategy of Spiking Neurons." Neural Computation 12, no. 7 (2000): 1519–29. http://dx.doi.org/10.1162/089976600300015240.

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Neural responses in sensory systems are typically triggered by a multitude of stimulus features. Using information theory, we study the encoding accuracy of a population of stochastically spiking neurons characterized by different tuning widths for the different features. The optimal encoding strategy for representing one feature most accurately consists of narrow tuning in the dimension to be encoded, to increase the single-neuron Fisher information, and broad tuning in all other dimensions, to increase the number of active neurons. Extremely narrow tuning without sufficient receptive field o

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Pooksombat, Perathorn, Patanee Udomkavanich, and Wittawat Kositwattanarerk. "Multidimensional Fibonacci Coding." Mathematics 10, no. 3 (2022): 386. http://dx.doi.org/10.3390/math10030386.

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Fibonacci codes are self-synchronizing variable-length codes that are proven useful for their robustness and compression capability. Asymptotically, these codes provide better compression efficiency as the order of the underlying Fibonacci sequence increases but at the price of the increased suffix length. We propose a circumvention to this problem by introducing higher-dimensional Fibonacci codes for integer vectors. The resulting multidimensional Fibonacci coding is comparable to the classical one in terms of compression; while encoding several numbers all at once for a shared suffix general

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Xu, Di Jian, and Jian Kui Zeng. "Multidimensional Waveform Encoding for Oil Spoil Detection." Advanced Materials Research 889-890 (February 2014): 583–86. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.583.

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In this paper, we present a new algorithm for the signal design in radar whose function is oil spill segmentation, using the minimum description length (MDL) principle and a polygonal active grid. This algorithm is based on two steps: a first partitioning step into homogeneous signals and a second classification step with an automatic thresholding. The obtained method allows one to find a optimal signals for radar.

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Isnardi, M. A. "Multidimensional interpretation of NTSC encoding and decoding." IEEE Transactions on Consumer Electronics 34, no. 1 (1988): 179–93. http://dx.doi.org/10.1109/30.75386.

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Dumez, Jean-Nicolas, and Lucio Frydman. "Multidimensional excitation pulses based on spatiotemporal encoding concepts." Journal of Magnetic Resonance 226 (January 2013): 22–34. http://dx.doi.org/10.1016/j.jmr.2012.10.010.

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Shanableh, Tamer. "Content-Symmetrical Multidimensional Transpose of Image Sequences for the High Efficiency Video Coding (HEVC) All-Intra Configuration." Symmetry 17, no. 4 (2025): 598. https://doi.org/10.3390/sym17040598.

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Enhancing the quality of video coding whilst maintaining compliance with the syntax of video coding standards is challenging. In the literature, many solutions have been proposed that apply mainly to two-pass encoding, bitrate control algorithms, and enhancements of locally decoded images in the motion-compensation loop. This work proposes a pre- and post-coding solution using the content-symmetrical multidimensional transpose of raw video sequences. The content-symmetrical multidimensional transpose results in images composed of slices of the temporal domain whilst preserving the video conten

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Aoi, Mikio C., Valerio Mante, and Jonathan W. Pillow. "Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making." Nature Neuroscience 23, no. 11 (2020): 1410–20. http://dx.doi.org/10.1038/s41593-020-0696-5.

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Shrot, Yoav, and Lucio Frydman. "Spatial encoding strategies for ultrafast multidimensional nuclear magnetic resonance." Journal of Chemical Physics 128, no. 5 (2008): 052209. http://dx.doi.org/10.1063/1.2834733.

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Chaudhary, Manu, Kareem El-Araby, Alvir Nobel, et al. "Solving Multidimensional Partial Differential Equations Using Efficient Quantum Circuits." Algorithms 18, no. 3 (2025): 176. https://doi.org/10.3390/a18030176.

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Quantum computing has the potential to solve certain compute-intensive problems faster than classical computing by leveraging the quantum mechanical properties of superposition and entanglement. This capability can be particularly useful for solving Partial Differential Equations (PDEs), which are challenging to solve even for High-Performance Computing (HPC) systems, especially for multidimensional PDEs. This led researchers to investigate the usage of Quantum-Centric High-Performance Computing (QC-HPC) to solve multidimensional PDEs for various applications. However, the current quantum comp

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Lu, Qing, Zhenguo Lu, Hongzhao Yang, Shenshen Yang, and Yongmin Li. "FPGA-Based Implementation of Multidimensional Reconciliation Encoding in Quantum Key Distribution." Entropy 25, no. 1 (2022): 80. http://dx.doi.org/10.3390/e25010080.

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We propose a multidimensional reconciliation encoding algorithm based on a field-programmable gate array (FPGA) with variable data throughput that enables quantum key distribution (QKD) systems to be adapted to different throughput requirements. Using the circulatory structure, data flow in the most complex pipeline operation in the same time interval, which enables the structural multiplexing of the algorithm. We handle the calculation and storage of eight-dimensional matrices cleverly to conserve resources and increase data processing speed. In order to obtain the syndrome more efficiently,

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Fischer, Brian J., Jacob L. Wydick, Christine Köppl, and José L. Peña. "Multidimensional stimulus encoding in the auditory nerve of the barn owl." Journal of the Acoustical Society of America 144, no. 4 (2018): 2116–27. http://dx.doi.org/10.1121/1.5056171.

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Shrot, Yoav, and Lucio Frydman. "Spatial/spectral encoding of the spin interactions in ultrafast multidimensional NMR." Journal of Chemical Physics 131, no. 22 (2009): 224516. http://dx.doi.org/10.1063/1.3266422.

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Stringer, Carsen, Marius Pachitariu, Nicholas Steinmetz, Charu Bai Reddy, Matteo Carandini, and Kenneth D. Harris. "Spontaneous behaviors drive multidimensional, brainwide activity." Science 364, no. 6437 (2019): eaav7893. http://dx.doi.org/10.1126/science.aav7893.

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Neuronal populations in sensory cortex produce variable responses to sensory stimuli and exhibit intricate spontaneous activity even without external sensory input. Cortical variability and spontaneous activity have been variously proposed to represent random noise, recall of prior experience, or encoding of ongoing behavioral and cognitive variables. Recording more than 10,000 neurons in mouse visual cortex, we observed that spontaneous activity reliably encoded a high-dimensional latent state, which was partially related to the mouse’s ongoing behavior and was represented not just in visual

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Dai, Mingjun, Chanting Zhang, Zhaoyan Hong, Paweł Wawrzyński, Tomasz Trzciński, and Xiaohui Lin. "Multiple Dimensional Encoding/Modulation Shift-and-Addition Design for Distributed Systems." Wireless Communications and Mobile Computing 2022 (September 15, 2022): 1–10. http://dx.doi.org/10.1155/2022/5615041.

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In distributed computing/storage/machine learning system, the method of encoding and decoding combing shift-and-addition (SA) and zigzag decoding (ZD) is proposed to solve the problem of high computational complexity. However, in each encoded packet, one element takes part in the encoding only once, so the obtained overhead is extremely high. In this work, based on the idea of multidimensional encoding/modulation, we propose to employ one element of the encoding process multiple times when constructing one encoded packet based on the Cauchy matrix, thereby leveraging the favourable properties

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MAKINO, Masafumi, Tatsuo TSUJI, and Ken HIGUCHI. "History-Pattern Encoding for Large-Scale Dynamic Multidimensional Datasets and Its Evaluations." IEICE Transactions on Information and Systems E99.D, no. 4 (2016): 989–99. http://dx.doi.org/10.1587/transinf.2015dap0025.

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Dimitrov, V., and G. A. Jullien. "Multidimensional algebraic-integer encoding for high performance implementation of DCT and IDCT." Electronics Letters 39, no. 7 (2003): 602. http://dx.doi.org/10.1049/el:20030406.

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Feng He, Xile Ma, Zhen Dong, and Diannong Liang. "Digital Beamforming on Receive in Elevation for Multidimensional Waveform Encoding SAR Sensing." IEEE Geoscience and Remote Sensing Letters 11, no. 12 (2014): 2173–77. http://dx.doi.org/10.1109/lgrs.2014.2323267.

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Dmochowski, Jacek P., Jason J. Ki, Paul DeGuzman, Paul Sajda, and Lucas C. Parra. "Extracting multidimensional stimulus-response correlations using hybrid encoding-decoding of neural activity." NeuroImage 180 (October 2018): 134–46. http://dx.doi.org/10.1016/j.neuroimage.2017.05.037.

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Anooshian, Linda J., and Julie A. Samuelson. "Age Differences in Processing: Assessments of Depth, Elaboration and Encoding-Retrieval Compatibility with Multidimensional Scaling." International Journal of Aging and Human Development 22, no. 4 (1986): 271–89. http://dx.doi.org/10.2190/ja5w-nt1l-hn4j-papc.

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Young, middle-age, and old adults ranked similarities of word pairs in a conditional rank-ordering task. Multidimensional scaling analyses of those similarity judgments provided measures of depth of processing (the kind of attribute dimensions considered in ranking similarities) and elaboration (the number of dimensions considered). Analyses of variance revealed an age-related decline in semantic processing but no such decline for elaboration. In recalling the words after the rank-ordering task, old adults' retrieval was less compatible with initial processing than was the case for younger adu

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Shen, Zixuan, Zhihua Xia, and Peipeng Yu. "PLDP: Personalized Local Differential Privacy for Multidimensional Data Aggregation." Security and Communication Networks 2021 (January 28, 2021): 1–13. http://dx.doi.org/10.1155/2021/6684179.

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The collection of multidimensional crowdsourced data has caused a public concern because of the privacy issues. To address it, local differential privacy (LDP) is proposed to protect the crowdsourced data without much loss of usage, which is popularly used in practice. However, the existing LDP protocols ignore users’ personal privacy requirements in spite of offering good utility for multidimensional crowdsourced data. In this paper, we consider the personality of data owners in protection and utilization of their multidimensional data by introducing the notion of personalized LDP (PLDP). Spe

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Cornell, Paul. "Performance and Qwl in a Data Entry Task." Proceedings of the Human Factors Society Annual Meeting 31, no. 12 (1987): 1350–54. http://dx.doi.org/10.1177/154193128703101211.

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The effects of the work environment on performance and QWL was examined in bank proof encoding departments. A multidimensional model was proposed and included environmental factors, people factors, and organizational effectiveness. A large set of variables, measuring all aspects of the model, was reduced via stepwise regression and subjected to a canonical correlation, which yielded two variates. Job design and context were strongly linked to QWL, while job and organizational design, and the physical environment were linked to performance. The necessity of a multidimensional approach was suppo

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O. S. Raspopov. "MULTI-MEASURING MATRIXES IN DYNAMICS SOLUTIONS OF SPATIAL BEAM SYSTEMS." Science and Transport Progress, no. 34 (October 25, 2010): 142–46. http://dx.doi.org/10.15802/stp2010/9238.

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The dynamics of spatial beam systems using the theory of graphs and automats is considered. It is shown that the structural composition of multidimensional models can be set using the spatial matrices. An efficient algorithm for the separation of the system into blocks and encoding the states of each subsystem is developed.

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Brockett, Adam T., Daniela Vázquez, and Matthew R. Roesch. "Prediction errors and valence: From single units to multidimensional encoding in the amygdala." Behavioural Brain Research 404 (April 2021): 113176. http://dx.doi.org/10.1016/j.bbr.2021.113176.

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Jalali Varnamkhasti, M., and L. S. Lee. "A Fuzzy Genetic Algorithm Based on Binary Encoding for Solving Multidimensional Knapsack Problems." Journal of Applied Mathematics 2012 (2012): 1–23. http://dx.doi.org/10.1155/2012/703601.

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The fundamental problem in genetic algorithms is premature convergence, and it is strongly related to the loss of genetic diversity of the population. This study aims at proposing some techniques to tackle the premature convergence by controlling the population diversity. Firstly, a sexual selection mechanism which utilizes the mate chromosome during selection is used. The second technique focuses on controlling the genetic parameters by applying the fuzzy logic controller. Computational experiments are conducted on the proposed techniques and the results are compared with other genetic operat

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Zhang, Zhiyong, Pieter E. S. Smith, and Lucio Frydman. "Reducing acquisition times in multidimensional NMR with a time-optimized Fourier encoding algorithm." Journal of Chemical Physics 141, no. 19 (2014): 194201. http://dx.doi.org/10.1063/1.4901561.

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Bittoun, J., O. Jolivet, A. Herment, et al. "Multidimensional MR mapping of multiple components of velocity and acceleration by fourier phase encoding with a small number of encoding steps." Magnetic Resonance in Medicine 44, no. 5 (2000): 723–30. http://dx.doi.org/10.1002/1522-2594(200011)44:5<723::aid-mrm10>3.0.co;2-5.

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Krieger, Gerhard, Nicolas Gebert, and Alberto Moreira. "Multidimensional Waveform Encoding: A New Digital Beamforming Technique for Synthetic Aperture Radar Remote Sensing." IEEE Transactions on Geoscience and Remote Sensing 46, no. 1 (2008): 31–46. http://dx.doi.org/10.1109/tgrs.2007.905974.

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Hadrup, Sine Reker, Arnold H. Bakker, Chengyi J. Shu, et al. "Parallel detection of antigen-specific T-cell responses by multidimensional encoding of MHC multimers." Nature Methods 6, no. 7 (2009): 520–26. http://dx.doi.org/10.1038/nmeth.1345.

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Preeti S. Joshi. "Multidimensional Forensic Analysis of Onion Sites Using LSTM and Fuzzy Encoded Techniques: Insights and Applications in Digital Investigations." Panamerican Mathematical Journal 34, no. 2 (2024): 195–207. http://dx.doi.org/10.52783/pmj.v34.i2.940.

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When it comes to digital investigations, the fact that onion sites make people anonymous makes investigative research much harder. For multidimensional forensic analysis of onion sites, this study suggests a new method that combines Long Short-Term Memory (LSTM) networks with fuzzy encoding methods. When you use the Tor network to get to onion sites, both users and services become anonymous, which makes it harder to do regular investigations. LSTM networks are used to look at trends in how people use the site and when material is updated over time. These networks are good at modeling sequentia

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Riznyk, Volodymyr. "Optimization of Encoding Design Based on the Spatial Geometry Remarkable Properties." WSEAS TRANSACTIONS ON COMPUTERS 21 (July 5, 2022): 270–76. http://dx.doi.org/10.37394/23205.2022.21.33.

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This paper involves techniques for optimization of encoding design based on the remarkable geometric property of ring symmetry which contains two complementary asymmetries as the World harmony law for improving the quality indices of one- and multidimensional cyclic codes with respect to performance reliability, transmission speed, and transmission content, using vector data coding. These design techniques make it possible to configure encoding system with minimized number of digit weights, while maintaining or improving on error protection, security, and function of autocorrelation. Such sets

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Cui, Yilong, Hiroyuki Neyama, Di Hu, et al. "FDG PET Imaging of the Pain Matrix in Neuropathic Pain Model Rats." Biomedicines 11, no. 1 (2022): 63. http://dx.doi.org/10.3390/biomedicines11010063.

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Pain is an unpleasant subjective experience that is usually modified by complex multidimensional neuropsychological processes. Increasing numbers of neuroimaging studies in humans have characterized the hierarchical brain areas forming a pain matrix, which is involved in the different dimensions of pain components. Although mechanistic investigations have been performed extensively in rodents, the homologous brain regions involved in the multidimensional pain components have not been fully understood in the rodent brain. Herein, we successfully identified several brain regions activated in res

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Etemadpour, Ronak, and Angus Graeme Forbes. "Density-based motion." Information Visualization 16, no. 1 (2016): 3–20. http://dx.doi.org/10.1177/1473871615606187.

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A common strategy for encoding multidimensional data for visual analysis is to use dimensionality reduction techniques that project data from higher dimensions onto a lower-dimensional space. This article examines the use of motion to retain an accurate representation of the point density of clusters that might otherwise be lost when a multidimensional dataset is projected into a two-dimensional space. Specifically, we consider different types of density-based motion, where the magnitude of the motion is directly related to the density of the clusters. We investigate how users interpret motion

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Zhang, Jian, and Li Jun Zhao. "Visualization of IDS Logs Based on Regular Polygon of Even Sides." Applied Mechanics and Materials 602-605 (August 2014): 2157–62. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2157.

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In the field of network security, logs analysis is an efficient protecting measure. But it couldn’t meet with the requirements of dealing with threaten rapidly and responding at real time only with security administrator’s analysis of abundant multidimensional IDS logs. Visualization of multidimensional data is applied in information cognition and decision, with people’s perception of graph and advanced technology of computer’s dealing with abundant data. A frame of visualization in intrusion detection is proposed according to the process of visualization and intrusion detection. And then a si

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Atencio, Craig A., Tatyana O. Sharpee, and Christoph E. Schreiner. "Receptive field dimensionality increases from the auditory midbrain to cortex." Journal of Neurophysiology 107, no. 10 (2012): 2594–603. http://dx.doi.org/10.1152/jn.01025.2011.

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In the primary auditory cortex, spectrotemporal receptive fields (STRFs) are composed of multiple independent components that capture the processing of disparate stimulus aspects by any given neuron. The origin of these multidimensional stimulus filters in the central auditory system is unknown. To determine whether multicomponent STRFs emerge prior to the forebrain, we recorded from single neurons in the main obligatory station of the auditory midbrain, the inferior colliculus. By comparing results of different spike-triggered techniques, we found that the neural responses in the inferior col

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Jiang, Hong, Leo Svenningsson, and Daniel Topgaard. "Multidimensional encoding of restricted and anisotropic diffusion by double rotation of the q vector." Magnetic Resonance 4, no. 1 (2023): 73–85. http://dx.doi.org/10.5194/mr-4-73-2023.

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Abstract. Diffusion NMR and MRI methods building on the classic pulsed gradient spin-echo sequence are sensitive to many aspects of translational motion, including time and frequency dependence (“restriction”), anisotropy, and flow, leading to ambiguities when interpreting experimental data from complex heterogeneous materials such as living biological tissues. While the oscillating gradient technique specifically targets frequency dependence and permits control of the sensitivity to flow, tensor-valued encoding enables investigations of anisotropy in orientationally disordered materials. Here

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Feng, Fan, Shiqiang Li, Weidong Yu, Pingping Huang, and Wei Xu. "Echo Separation in Multidimensional Waveform Encoding SAR Remote Sensing Using an Advanced Null-Steering Beamformer." IEEE Transactions on Geoscience and Remote Sensing 50, no. 10 (2012): 4157–72. http://dx.doi.org/10.1109/tgrs.2012.2187905.

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Atkinson, Amy L., Alan D. Baddeley, and Richard J. Allen. "Remember some or remember all? Ageing and strategy effects in visual working memory." Quarterly Journal of Experimental Psychology 71, no. 7 (2018): 1561–73. http://dx.doi.org/10.1080/17470218.2017.1341537.

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Recent research has indicated that visual working memory capacity for unidimensional items might be boosted by focusing on all presented items, as opposed to a subset of them. However, it is not clear whether the same outcomes would be observed if more complex items were used which require feature binding, a potentially more demanding task. The current experiments, therefore, examined the effects of encoding strategy using multidimensional items in tasks that required feature binding. Effects were explored across a range of different age groups (Experiment 1) and task conditions (Experiment 2)

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Bao, Yanjun, Ying Yu, Haofei Xu, et al. "Multidimensional Optical Control: Coherent Pixel Design of Metasurfaces for Multidimensional Optical Control of Multiple Printing-Image Switching and Encoding (Adv. Funct. Mater. 51/2018)." Advanced Functional Materials 28, no. 51 (2018): 1870366. http://dx.doi.org/10.1002/adfm.201870366.

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Arcolezi, Héber H., Sébastien Gambs, Jean-François Couchot, and Catuscia Palamidessi. "On the Risks of Collecting Multidimensional Data Under Local Differential Privacy." Proceedings of the VLDB Endowment 16, no. 5 (2023): 1126–39. http://dx.doi.org/10.14778/3579075.3579086.

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The private collection of multiple statistics from a population is a fundamental statistical problem. One possible approach to realize this is to rely on the local model of differential privacy (LDP). Numerous LDP protocols have been developed for the task of frequency estimation of single and multiple attributes. These studies mainly focused on improving the utility of the algorithms to ensure the server performs the estimations accurately. In this paper, we investigate privacy threats (re-identification and attribute inference attacks) against LDP protocols for multidimensional data followin

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olde Scheper, Tjeerd V. "Criticality Analysis: Bio-Inspired Nonlinear Data Representation." Entropy 25, no. 12 (2023): 1660. http://dx.doi.org/10.3390/e25121660.

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The representation of arbitrary data in a biological system is one of the most elusive elements of biological information processing. The often logarithmic nature of information in amplitude and frequency presented to biosystems prevents simple encapsulation of the information contained in the input. Criticality Analysis (CA) is a bio-inspired method of information representation within a controlled Self-Organised Critical system that allows scale-free representation. This is based on the concept of a reservoir of dynamic behaviour in which self-similar data will create dynamic nonlinear repre

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Bao, Yanjun, Ying Yu, Haofei Xu, et al. "Coherent Pixel Design of Metasurfaces for Multidimensional Optical Control of Multiple Printing-Image Switching and Encoding." Advanced Functional Materials 28, no. 51 (2018): 1805306. http://dx.doi.org/10.1002/adfm.201805306.

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Bush, Nicholas E., Sara A. Solla, and Mitra J. Z. Hartmann. "Continuous, multidimensional coding of 3D complex tactile stimuli by primary sensory neurons of the vibrissal system." Proceedings of the National Academy of Sciences 118, no. 32 (2021): e2020194118. http://dx.doi.org/10.1073/pnas.2020194118.

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Across all sensory modalities, first-stage sensory neurons are an information bottleneck: they must convey all information available for an animal to perceive and act in its environment. Our understanding of coding properties of primary sensory neurons in the auditory and visual systems has been aided by the use of increasingly complex, naturalistic stimulus sets. By comparison, encoding properties of primary somatosensory afferents are poorly understood. Here, we use the rodent whisker system to examine how tactile information is represented in primary sensory neurons of the trigeminal gangli

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Ventocilla, Elio, and Maria Riveiro. "A comparative user study of visualization techniques for cluster analysis of multidimensional data sets." Information Visualization 19, no. 4 (2020): 318–38. http://dx.doi.org/10.1177/1473871620922166.

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This article presents an empirical user study that compares eight multidimensional projection techniques for supporting the estimation of the number of clusters, [Formula: see text], embedded in six multidimensional data sets. The selection of the techniques was based on their intended design, or use, for visually encoding data structures, that is, neighborhood relations between data points or groups of data points in a data set. Concretely, we study: the difference between the estimates of [Formula: see text] as given by participants when using different multidimensional projections; the accu

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Rios-Carrillo, Ricardo, Alonso Ramírez-Manzanares, Hiram Luna-Munguía, Mirelta Regalado, and Luis Concha. "Differentiation of white matter histopathology using b-tensor encoding and machine learning." PLOS ONE 18, no. 6 (2023): e0282549. http://dx.doi.org/10.1371/journal.pone.0282549.

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Diffusion-weighted magnetic resonance imaging (DW-MRI) is a non-invasive technique that is sensitive to microstructural geometry in neural tissue and is useful for the detection of neuropathology in research and clinical settings. Tensor-valued diffusion encoding schemes (b-tensor) have been developed to enrich the microstructural data that can be obtained through DW-MRI. These advanced methods have proven to be more specific to microstructural properties than conventional DW-MRI acquisitions. Additionally, machine learning methods are particularly useful for the study of multidimensional data

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Attia, Mohamed, Waleed Nazih, Mohamed Al-Badrashiny, and Hamed Elsimary. "A General scheme for dithering multidimensional signals, and a visual instance of encoding images with limited palettes." Journal of King Saud University - Computer and Information Sciences 26, no. 2 (2014): 202–17. http://dx.doi.org/10.1016/j.jksuci.2013.12.002.

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Coskunuzer, Baris, Ignacio Segovia-Dominguez, Yuzhou Chen, and Yulia R. Gel. "Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 10 (2024): 11678–86. http://dx.doi.org/10.1609/aaai.v38i10.29051.

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Learning time-evolving objects such as multivariate time series and dynamic networks requires the development of novel knowledge representation mechanisms and neural network architectures, which allow for capturing implicit time-dependent information contained in the data. Such information is typically not directly observed but plays a key role in the learning task performance. In turn, lack of time dimension in knowledge encoding mechanisms for time-dependent data leads to frequent model updates, poor learning performance, and, as a result, subpar decision-making. Here we propose a new approa

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LUQUE, NICETO R., JESÚS A. GARRIDO, JARNO RALLI, JUANLU J. LAREDO, and EDUARDO ROS. "FROM SENSORS TO SPIKES: EVOLVING RECEPTIVE FIELDS TO ENHANCE SENSORIMOTOR INFORMATION IN A ROBOT-ARM." International Journal of Neural Systems 22, no. 04 (2012): 1250013. http://dx.doi.org/10.1142/s012906571250013x.

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In biological systems, instead of actual encoders at different joints, proprioception signals are acquired through distributed receptive fields. In robotics, a single and accurate sensor output per link (encoder) is commonly used to track the position and the velocity. Interfacing bio-inspired control systems with spiking neural networks emulating the cerebellum with conventional robots is not a straight forward task. Therefore, it is necessary to adapt this one-dimensional measure (encoder output) into a multidimensional space (inputs for a spiking neural network) to connect, for instance, th

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Bykovsky, N. V., R. V. Harutyunyan, and A. V. Nasedkin. "Numerical modeling and optimization results for the placement of irregularly shaped elements on a multidimensional switching field with complex topology." T-Comm 18, no. 9 (2024): 48–54. https://doi.org/10.36724/2072-8735-2024-18-9-48-54.

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Numerical modeling was conducted to optimize the placement of irregularly shaped elements with non-standard dimensions on a multidimensional switching field with complex topology. The objective was to develop a method overcoming limitations of classical algorithms when dealing with complex geometric configurations. The methodological foundation was a combinatorial analog of the Gauss-Seidel method, adapted for discrete variables and multidimensional geometric constraints. Key features of the developed algorithm include integer encoding of element placement, accounting for non-standard componen

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Bodyanskiy, Yevgeniy V., and Olha S. Chala. "Enhanced multidimensional neo-fuzzy classification system and its learning for the video classification task." Management Information System and Devises, no. 181 (September 16, 2024): 42–50. http://dx.doi.org/10.30837/0135-1710.2024.181.042.

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This research introduces an innovative hybrid neo-fuzzy system for video classification, integrating multidimensional neo-fuzzy components with adjustable synaptic weights and Gaussian membership functions. By combining extended neo-fuzzy neurons (ENFN) and neo-fuzzy units (NFU) with nonlinear activation functions and incorporating extended nonlinear synapses (ENS), the system leverages the neuro-fuzzy Takagi-Sugeno-Kang inference system to enhance traditional models' approximating capabilities. Video classification is complex due to high data volume and variability, especially with moving obj

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Sharpee, Tatyana O., Katherine I. Nagel, and Allison J. Doupe. "Two-dimensional adaptation in the auditory forebrain." Journal of Neurophysiology 106, no. 4 (2011): 1841–61. http://dx.doi.org/10.1152/jn.00905.2010.

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Sensory neurons exhibit two universal properties: sensitivity to multiple stimulus dimensions, and adaptation to stimulus statistics. How adaptation affects encoding along primary dimensions is well characterized for most sensory pathways, but if and how it affects secondary dimensions is less clear. We studied these effects for neurons in the avian equivalent of primary auditory cortex, responding to temporally modulated sounds. We showed that the firing rate of single neurons in field L was affected by at least two components of the time-varying sound log-amplitude. When overall sound amplit

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