203 results found.
Year: 2018, Volume: 18, Number: 3
... Computer Engineering Volume 18, Number 3, 2018 on color and texture features. Particle Swarm Optimization viewpoint. These systems also suffer from i) high based k-means clustering is used to retrieve images computational complexity, ii) high false identification and effectively. iii) low accuracy. A forged image is also one form of ...
Terms matched: 1 - Score: 15 - 1,424k
Year: 2010, Volume: 10, Issue: 2
... blowing/activity/belfast2/foote.pdf III 0.63 0.28 0.68 0.95 1.58 [2] G. Cartina, G. Grigoras, E.C. Bobric, Tehnici de Clustering in I 4.90 6.08 0.10 6.18 11.08 modelarea fuzzy. Aplicatii in Electroenergetica (Clustering 4 H II 0.44 5.13 0.07 5.20 5.64 Techniques in Fuzzy Models. Power ...
Terms matched: 1 - Score: 13 - 688k
Year: 2020, Volume: 20, Number: 2
... In [22], in order to support for large-scale database and lacks to provide spatial information [9-11], thereby, images, random forest predictive tree clustering is applied to causes false positive matches and reduces its precision construct vocabulary and thus, improves the discriminative ability among the images. Digital Object Identifier 10.4316/ ...
Terms matched: 1 - Score: 12 - 1,484k
Year: 2011, Volume: 11, Number: 2
... one based on Kirchhoff's laws is presented in [7]. errors. A coherent method of evaluating vulnerability is to So, in a topological approach, the clusters formation, known quantify this attribute in terms of the scale-free graph theory. as percolation, is the main event in the random (or One way of ...
Terms matched: 1 - Score: 12 - 641k
Year: 2020, Volume: 20, Number: 2
... . above dataset where four different methods are compared including the approach by Pape and Klukas [11]. In I. INTRODUCTION Nottingham method, Simple Linear Iterative Clustering (SLIC) superpixels based technique is applied in Lab color As agriculture is emerging as an important technology space to segment the image from the background. Centroids ...
Terms matched: 1 - Score: 12 - 1,765k
Year: 2020, Volume: 20, Number: 2
... is a crucial for solar radiation forecasting in a recent research [18]. A problem for projection and management of large solar model based on combining of k-means clustering method projects. The energy efficiency can be satisfied with a and the ANN was also proposed by Benmouiza and successful solar irradiation forecasting. The solar irradiation Cheknane ...
Terms matched: 1 - Score: 12 - 2,045k
Year: 2008, Volume: 8, Issue: 2
... connected neurons of all lager of cortex, united in still larger when construction by the determined totality of characters is unit – module. Modules are grouped in larger clusters, over. forming primary visual, acoustic or moving cortex "Intelligent" level of distributed network is determined by depending on the source from which the given ...
Terms matched: 1 - Score: 11 - 480k
Year: 2011, Volume: 11, Number: 1
... its use in the implementation of the category- the vocabulary from each POS. These ni words constitute based LM [15][16]. This auto clustering method aims to the rest of the vocabulary (in total N-n0). maximize the log likelihood of the training corpus. The In Section III-A, we ...
Terms matched: 1 - Score: 11 - 625k
Year: 2021, Volume: 21, Number: 4
... Principles and Practice of Constraint based dynamic resource provisioning for multi-objective trade-offs in Programming. CP 2013. Lecture Notes in Computer Science, vol. IaaS clouds," Cluster Comput., 2021. doi:10.1007/s10586-020-03225- 8124. Springer, 2013. doi:10.1007/978-3-642-40627-0_7 9 [22] C. Mastroianni ...
Terms matched: 1 - Score: 11 - 1,956k
Year: 2017, Volume: 17, Number: 2
... their research is to determine a Analysis (ICA) algorithm. Signal separation is then finite set of basic elements, which is highly correlated to the performed by clustering the basis spectra into disjoint sets. music signals and uncorrelated to the speech and another The clustering process can be done through different finite set of basic elements ...
Terms matched: 1 - Score: 9 - 1,709k