Gotowe bibliografie tematyczne / EDGE BASED WEIGHTING

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Części książek
  4. Streszczenia konferencji
  5. Raporty organizacyjne

Gotowa bibliografia na temat „EDGE BASED WEIGHTING”

Autor: Grafiati
Data publikacji: 11 września 2023

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Artykuły w czasopismach na temat "EDGE BASED WEIGHTING"

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Li, Xian Mao, Gao Ming Huang, and Dong Xia. "Spacial Filter of Weighting Method Based on Spectrum Analyse." Advanced Materials Research 605-607 (December 2012): 1890–96. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1890.

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The selection of a certain scope angle signal in the traditional method is to switch the hard switches in antennas, this paper proposes a method, which based on a weighting method to filter the signal in certain directions, namely spacial filter. With array antennas，the compositive signal can be acquired, by which the phrase and plus (weighting) of each unit antenna’s signal be adjusted and then the signals be added. In different time, signals can be selected in any scope of directions through adjusting each channels by different weighting. The weighting parameters can be obtained through the
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Karasuyama, Masayuki, and Hiroshi Mamitsuka. "Adaptive edge weighting for graph-based learning algorithms." Machine Learning 106, no. 2 (2016): 307–35. http://dx.doi.org/10.1007/s10994-016-5607-3.

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KERR, GRAINNE, DIMITRI PERRIN, HEATHER J. RUSKIN, and MARTIN CRANE. "EDGE-WEIGHTING OF GENE EXPRESSION GRAPHS." Advances in Complex Systems 13, no. 02 (2010): 217–38. http://dx.doi.org/10.1142/s0219525910002505.

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In recent years, considerable research efforts have been directed to micro-array technologies and their role in providing simultaneous information on expression profiles for thousands of genes. These data, when subjected to clustering and classification procedures, can assist in identifying patterns and providing insight on biological processes. To understand the properties of complex gene expression datasets, graphical representations can be used. Intuitively, the data can be represented in terms of a bipartite graph, with weighted edges corresponding to gene-sample node couples in the datase
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Seo, Suyoung. "Subpixel Edge Localization Based on Adaptive Weighting of Gradients." IEEE Transactions on Image Processing 27, no. 11 (2018): 5501–13. http://dx.doi.org/10.1109/tip.2018.2860241.

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Cheng Deqiang, 程德强, 庄焕东 Zhuang Huandong, 于文洁 Yu Wenjie, 白春梦 Bai Chunmeng, and 文小顺 Wen Xiaoshun. "Cross-Scale Local Stereo Matching Based on Edge Weighting." Laser & Optoelectronics Progress 56, no. 21 (2019): 211504. http://dx.doi.org/10.3788/lop56.211504.

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Sun, Peng Gang. "Weighting links based on edge centrality for community detection." Physica A: Statistical Mechanics and its Applications 394 (January 2014): 346–57. http://dx.doi.org/10.1016/j.physa.2013.08.048.

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Kovács, László, Anita Agárdi, and Tamás Bányai. "Fitness Landscape Analysis and Edge Weighting-Based Optimization of Vehicle Routing Problems." Processes 8, no. 11 (2020): 1363. http://dx.doi.org/10.3390/pr8111363.

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Vehicle routing problem (VRP) is a highly investigated discrete optimization problem. The first paper was published in 1959, and later, many vehicle routing problem variants appeared to simulate real logistical systems. Since vehicle routing problem is an NP-difficult task, the problem can be solved by approximation algorithms. Metaheuristics give a “good” result within an “acceptable” time. When developing a new metaheuristic algorithm, researchers usually use only their intuition and test results to verify the efficiency of the algorithm, comparing it to the efficiency of other algorithms. H
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Mahajan, Shveta, Anu Rani, Mamta Sharma, Sudesh Kumar Mittal, and Amitava Das. "A pre-processing based optimized edge weighting method for colour constancy." Imaging Science Journal 66, no. 4 (2017): 231–38. http://dx.doi.org/10.1080/13682199.2017.1412889.

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Tan, Xiao, Changming Sun, and Tuan D. Pham. "Edge-Aware Filtering with Local Polynomial Approximation and Rectangle-Based Weighting." IEEE Transactions on Cybernetics 46, no. 12 (2016): 2693–705. http://dx.doi.org/10.1109/tcyb.2015.2485203.

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Zheng, Yi, Fang Liu, and Yong-Wang Gong. "Robustness in Weighted Networks with Cluster Structure." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/292465.

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The vulnerability of complex systems induced by cascade failures revealed the comprehensive interaction of dynamics with network structure. The effect on cascade failures induced by cluster structure was investigated on three networks, small-world, scale-free, and module networks, of which the clustering coefficient is controllable by the random walk method. After analyzing the shifting process of load, we found that the betweenness centrality and the cluster structure play an important role in cascading model. Focusing on this point, properties of cascading failures were studied on model netw
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Rozprawy doktorskie na temat "EDGE BASED WEIGHTING"

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BHAGYANIDHI. "HAZE REMOVAL AND DETAIL ENHANCEMNT ALGORITHM USING GLOBALLY GUIDED FILTERING." Thesis, 2018. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16406.

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Nowadays, the utilization and demand of image filters is very high in various applications of the areas of computer vision and image processing. Many local edge preserving smoothing strategies including Guided Filter [2] and Weighted Guided Filter [3] have been proposed in the literature earlier. These have been applied for studying different applications such as detail enhancement, de-hazing, feathering and many more. But these techniques may fail to preserve fine structured regions. A new technique, i.e. globally guided filtering has been introduced for solving this issue. In
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Części książek na temat "EDGE BASED WEIGHTING"

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Kwon, JuHum, Chang-Joo Moon, Soo-Hyun Park, and Doo-Kwon Baik. "Measuring Semantic Similarity Based on Weighting Attributes of Edge Counting." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30583-5_50.

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Streszczenia konferencji na temat "EDGE BASED WEIGHTING"

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Park, Sang-Jun, Changki Min, Jechang Jeong, and Gwanggil Jeon. "Adaptive Weighting Scheme for Edge-based Line Interpolation." In 2010 Fourth Pacific-Rim Symposium on Image and Video Technology (PSIVT). IEEE, 2010. http://dx.doi.org/10.1109/psivt.2010.60.

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Canh, Thuong Nguyen, Khanh Quoc Dinh, and Byeungwoo Jeon. "Edge-preserving nonlocal weighting scheme for total variation based compressive sensing recovery." In 2014 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2014. http://dx.doi.org/10.1109/icme.2014.6890251.

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Albano, James A., Amanda K. Ziemann, and David W. Messinger. "Assessing the impact of the edge-weighting function in a graph-based approach to anomaly detection." In 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2013. http://dx.doi.org/10.1109/whispers.2013.8080603.

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Chen, Yue, Debargha Mukherjee, Jingning Ean, and Kenneth Rose. "Joint inter-intra prediction based on mode-variant and edge-directed weighting approaches in video coding." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6855032.

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Sun, Haobo, Yu Zhu, Kaiming Yang, and Sen Lu. "Edge Coil Force Fitting and Current Optimal Commutation Algorithm for Magnetic Levitation Planar Motor With Moving Magnet." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23534.

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Abstract In this paper, edge coils are added to the commutation algorithm of the coil array. In order to reduce the theoretical modeling error of the edge coil force, a method of edge coil force fitting based on radial basis function (RBF) network is proposed. The obtained attenuation function of edge force can replace the weighting function in the switching algorithm, so it can effectively reduce the current density of the central coils and the heat loss power of the coil array. On this basis, a non-iterative current optimal commutation algorithm is proposed. The algorithm takes the weighted
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Kugaevskikh, A. V., and A. D. Mangarakov. "Bio-inspired Neuron Model for Motion Detection on Base Signal Accumulation." In 32nd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/graphicon-2022-568-576.

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The article presents a new model of the MT neuron (neuron of the middle temporal region), which allows motion detecting and determining its direction and speed without the use of recurrent communication. The model is based on signal accumulation and is organized using a space-time vector that sets the weighting coefficients. The space-time vector is formed using the product of the Gaussian, which defines the spatial component, and the "Mexican hat" wavelet, which sets the time vector of the change in the receptive field. This configuration allows not only to motion detect, but also to make the
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Tınaztepe, H. Tug˘rul, Ahmet S¸ U¨c¸er, and I˙ Sinan Akamandor. "Performance Evaluation of an Internal Flow Navier-Stokes Solver for Compressible Viscous Flow Simulations." In ASME Turbo Expo 2002: Power for Land, Sea, and Air. ASMEDC, 2002. http://dx.doi.org/10.1115/gt2002-30681.

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A three-dimensional compressible full Navier-Stokes solver is developed for the analysis of the flow field inside turbomachinary cascades. The solver uses an explicit second order accurate (cell-vertex) finite volume Lax-Wendroff scheme over hexahedral cells. The viscous and heat conduction terms are discretized in conservative form at the cell center. Second and fourth order numerical smoothing terms are added with local scaling factors. Eddy viscosity is calculated by the Baldwin-Lomax model and is adapted to the pointered cell based algorithm. Turbulent viscosity is blended by inverse dista
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Raporty organizacyjne na temat "EDGE BASED WEIGHTING"

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Yoo, Andy, Geoffrey Sanders, Van Henson, and Panayot Vassilevski. Enhancing Community Detection By Affinity-based Edge Weighting Scheme. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1226950.

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