Artigos de revistas sobre o tema "3D clustering"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Veja os 50 melhores artigos de revistas para estudos sobre o assunto "3D clustering".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Veja os artigos de revistas das mais diversas áreas científicas e compile uma bibliografia correta.
Manjunath, Mohith, Yi Zhang, Yeonsung Kim, Steve H. Yeo, Omar Sobh, Nathan Russell, Christian Followell, Colleen Bushell, Umberto Ravaioli e Jun S. Song. "ClusterEnG: an interactive educational web resource for clustering and visualizing high-dimensional data". PeerJ Computer Science 4 (21 de maio de 2018): e155. http://dx.doi.org/10.7717/peerj-cs.155.
Texto completo da fonteLin, Guoting, Zexun Zheng, Lin Chen, Tianyi Qin e Jiahui Song. "Multi-Modal 3D Shape Clustering with Dual Contrastive Learning". Applied Sciences 12, n.º 15 (22 de julho de 2022): 7384. http://dx.doi.org/10.3390/app12157384.
Texto completo da fonteSoliman, Mona M., Aboul Ella Hassanien e Hoda M. Onsi. "A Blind 3D Watermarking Approach for 3D Mesh Using Clustering Based Methods". International Journal of Computer Vision and Image Processing 3, n.º 2 (abril de 2013): 43–53. http://dx.doi.org/10.4018/ijcvip.2013040104.
Texto completo da fonteAl-Funjan, Amera, Farid Meziane e Rob Aspin. "Describing Pulmonary Nodules Using 3D Clustering". Advanced Engineering Research 22, n.º 3 (13 de outubro de 2022): 261–71. http://dx.doi.org/10.23947/2687-1653-2022-22-3-261-271.
Texto completo da fonteYonggao Yang, J. X. Chen e Woosung Kim. "Gene expression clustering and 3D visualization". Computing in Science & Engineering 5, n.º 5 (setembro de 2003): 37–43. http://dx.doi.org/10.1109/mcise.2003.1225859.
Texto completo da fonteSim, Kelvin, Ghim-Eng Yap, David R. Hardoon, Vivekanand Gopalkrishnan, Gao Cong e Suryani Lukman. "Centroid-Based Actionable 3D Subspace Clustering". IEEE Transactions on Knowledge and Data Engineering 25, n.º 6 (junho de 2013): 1213–26. http://dx.doi.org/10.1109/tkde.2012.37.
Texto completo da fonteSim, Kelvin, Vivekanand Gopalkrishnan, Clifton Phua e Gao Cong. "3D Subspace Clustering for Value Investing". IEEE Intelligent Systems 29, n.º 2 (março de 2014): 52–59. http://dx.doi.org/10.1109/mis.2012.24.
Texto completo da fontePeng, Bo, Yuxuan Yao, Qunxia Li, Xinyu Li, Guoting Lin, Lin Chen e Jianjun Lei. "Clustering information-constrained 3D U-Net subspace clustering for hyperspectral image". Remote Sensing Letters 13, n.º 11 (10 de outubro de 2022): 1131–41. http://dx.doi.org/10.1080/2150704x.2022.2132122.
Texto completo da fonteLi, Ailin, Anyong Qin, Zhaowei Shang e Yuan Yan Tang. "Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image". International Journal of Pattern Recognition and Artificial Intelligence 33, n.º 03 (19 de fevereiro de 2019): 1955003. http://dx.doi.org/10.1142/s0218001419550036.
Texto completo da fonteLi, Wei, Ranran Deng, Yingjie Zhang, Zhaoyun Sun, Xueli Hao e Ju Huyan. "Three-Dimensional Asphalt Pavement Crack Detection Based on Fruit Fly Optimisation Density Peak Clustering". Mathematical Problems in Engineering 2019 (23 de novembro de 2019): 1–15. http://dx.doi.org/10.1155/2019/4302805.
Texto completo da fonteLu, Xiaohu, Jian Yao, Jinge Tu, Kai Li, Li Li e Yahui Liu. "PAIRWISE LINKAGE FOR POINT CLOUD SEGMENTATION". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (3 de junho de 2016): 201–8. http://dx.doi.org/10.5194/isprsannals-iii-3-201-2016.
Texto completo da fonteLu, Xiaohu, Jian Yao, Jinge Tu, Kai Li, Li Li e Yahui Liu. "PAIRWISE LINKAGE FOR POINT CLOUD SEGMENTATION". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (3 de junho de 2016): 201–8. http://dx.doi.org/10.5194/isprs-annals-iii-3-201-2016.
Texto completo da fonteNiu, Jianwei, Zhizhong Li e Gavriel Salvendy. "Alignment Influence on 3D Anthropometric Data Clustering". Ergonomics Open Journal 1, n.º 1 (17 de novembro de 2008): 62–66. http://dx.doi.org/10.2174/1875934300801010062.
Texto completo da fonteZhang, Jie, Kangneng Zhou, Yan Luximon, Ping Li e Hassan Iftikhar. "3D-guided facial shape clustering and analysis". Multimedia Tools and Applications 81, n.º 6 (5 de fevereiro de 2022): 8785–806. http://dx.doi.org/10.1007/s11042-022-12190-x.
Texto completo da fonteChahhou, Mohamed, Lahcen Moumoun, Mohamed El Far e Taoufiq Gadi. "Segmentation of 3D Meshes Usingp-Spectral Clustering". IEEE Transactions on Pattern Analysis and Machine Intelligence 36, n.º 8 (agosto de 2014): 1687–93. http://dx.doi.org/10.1109/tpami.2013.2297314.
Texto completo da fonteXu, Huaxun, Zhi-Quan Cheng, Ralph R. Martin e Sikun Li. "3D flow features visualization via fuzzy clustering". Visual Computer 27, n.º 6-8 (19 de abril de 2011): 441–49. http://dx.doi.org/10.1007/s00371-011-0577-8.
Texto completo da fonteAsorey, Jacobo, Martin Crocce, Enrique Gaztañaga e Antony Lewis. "Recovering 3D clustering information with angular correlations". Monthly Notices of the Royal Astronomical Society 427, n.º 3 (20 de novembro de 2012): 1891–902. http://dx.doi.org/10.1111/j.1365-2966.2012.21972.x.
Texto completo da fonteNakagawa, M., T. Yamamoto, S. Tanaka, M. Shiozaki e T. Ohhashi. "TOPOLOGICAL 3D MODELING USING INDOOR MOBILE LIDAR DATA". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4/W5 (11 de maio de 2015): 13–18. http://dx.doi.org/10.5194/isprsarchives-xl-4-w5-13-2015.
Texto completo da fonteLiu, Yongfan, Sen Du e Youyong Kong. "Supervoxel Clustering with a Novel 3D Descriptor for Brain Tissue Segmentation". International Journal of Machine Learning and Computing 10, n.º 3 (maio de 2020): 501–6. http://dx.doi.org/10.18178/ijmlc.2020.10.3.964.
Texto completo da fonteLipnickas, Arūnas, e Vidas Raudonis. "Contour Representation by Clustering Curvatures of the 3D Objects". Solid State Phenomena 147-149 (janeiro de 2009): 633–38. http://dx.doi.org/10.4028/www.scientific.net/ssp.147-149.633.
Texto completo da fonteLi, Xin Wu. "A New 3D Medical Data Field Segmentation Algorithm Based on Improved K_Means Clustering". Advanced Materials Research 108-111 (maio de 2010): 69–73. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.69.
Texto completo da fonteKamburov, Atanas, Michael S. Lawrence, Paz Polak, Ignaty Leshchiner, Kasper Lage, Todd R. Golub, Eric S. Lander e Gad Getz. "Comprehensive assessment of cancer missense mutation clustering in protein structures". Proceedings of the National Academy of Sciences 112, n.º 40 (21 de setembro de 2015): E5486—E5495. http://dx.doi.org/10.1073/pnas.1516373112.
Texto completo da fonteJinming, Chen. "Obstacle Detection Based on 3D Lidar Euclidean Clustering". Applied Science and Innovative Research 5, n.º 3 (8 de novembro de 2021): p39. http://dx.doi.org/10.22158/asir.v5n3p39.
Texto completo da fonteHu, Ruizhen, Lubin Fan e Ligang Liu. "Co-Segmentation of 3D Shapes via Subspace Clustering". Computer Graphics Forum 31, n.º 5 (agosto de 2012): 1703–13. http://dx.doi.org/10.1111/j.1467-8659.2012.03175.x.
Texto completo da fonteBen Hamza, A. "Graph regularized sparse coding for 3D shape clustering". Knowledge-Based Systems 92 (janeiro de 2016): 92–103. http://dx.doi.org/10.1016/j.knosys.2015.10.019.
Texto completo da fonteHorváth, Gergely, e Gábor Erdős. "Object localization utilizing 3D point cloud clustering approach". Procedia CIRP 93 (2020): 508–13. http://dx.doi.org/10.1016/j.procir.2020.04.132.
Texto completo da fonteLacko, Daniël, Toon Huysmans, Jochen Vleugels, Guido De Bruyne, Marc M. Van Hulle, Jan Sijbers e Stijn Verwulgen. "Product sizing with 3D anthropometry andk-medoids clustering". Computer-Aided Design 91 (outubro de 2017): 60–74. http://dx.doi.org/10.1016/j.cad.2017.06.004.
Texto completo da fonteNaveen, J., P. J. A. Alphonse e Sivaraj Chinnasamy. "3D grid clustering scheme for wireless sensor networks". Journal of Supercomputing 76, n.º 6 (13 de março de 2018): 4199–211. http://dx.doi.org/10.1007/s11227-018-2306-9.
Texto completo da fonteMunshi, D., G. Pratten, P. Valageas, P. Coles e P. Brax. "Galaxy clustering in 3D and modified gravity theories". Monthly Notices of the Royal Astronomical Society 456, n.º 2 (24 de dezembro de 2015): 1627–44. http://dx.doi.org/10.1093/mnras/stv2724.
Texto completo da fonteStockman, George, e Juan Carlos Esteva. "3D object pose form clustering with multiple views". Pattern Recognition Letters 3, n.º 4 (julho de 1985): 279–86. http://dx.doi.org/10.1016/0167-8655(85)90008-x.
Texto completo da fonteMahdaoui, Abdelaaziz, e El Hassan Sbai. "3D Point Cloud Simplification Based on k-Nearest Neighbor and Clustering". Advances in Multimedia 2020 (15 de julho de 2020): 1–10. http://dx.doi.org/10.1155/2020/8825205.
Texto completo da fonteTORRA, VICENÇ, e SADAAKI MIYAMOTO. "HIERARCHICAL SPHERICAL CLUSTERING". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, n.º 02 (abril de 2002): 157–72. http://dx.doi.org/10.1142/s0218488502001399.
Texto completo da fonteXie, Zhong Ping. "Simulation Analysis on Dynamics Clustering Algorithm Based on 3D Imaging Technology". Applied Mechanics and Materials 556-562 (maio de 2014): 4994–97. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4994.
Texto completo da fonteBunnik, Evelien M., Aarthi Venkat, Jianlin Shao, Kathryn E. McGovern, Gayani Batugedara, Danielle Worth, Jacques Prudhomme et al. "Comparative 3D genome organization in apicomplexan parasites". Proceedings of the National Academy of Sciences 116, n.º 8 (5 de fevereiro de 2019): 3183–92. http://dx.doi.org/10.1073/pnas.1810815116.
Texto completo da fonteHong, Qi, e Gai Dong Han. "Research on FCM Algorithm in the 3D Visualization System of Medical Images". Applied Mechanics and Materials 727-728 (janeiro de 2015): 839–42. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.839.
Texto completo da fonteVallet, B., B. Soheilian e M. Brédif. "Combinatorial clustering and Its Application to 3D Polygonal Traffic Sign Reconstruction From Multiple Images". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3 (7 de agosto de 2014): 165–72. http://dx.doi.org/10.5194/isprsannals-ii-3-165-2014.
Texto completo da fonteZhao, Zhidong, Duoshui Shi, Guohua Hui e Xiaohong Zhang. "An Energy-Optimization Clustering Routing Protocol Based on Dynamic Hierarchical Clustering in 3D WSNs". IEEE Access 7 (2019): 80159–73. http://dx.doi.org/10.1109/access.2019.2923882.
Texto completo da fonteAndronov, Leonid, Jonathan Michalon, Khalid Ouararhni, Igor Orlov, Ali Hamiche, Jean-Luc Vonesch e Bruno P. Klaholz. "3DClusterViSu: 3D clustering analysis of super-resolution microscopy data by 3D Voronoi tessellations". Bioinformatics 34, n.º 17 (4 de abril de 2018): 3004–12. http://dx.doi.org/10.1093/bioinformatics/bty200.
Texto completo da fonteNguyen, Duy M. H., Hoang Nguyen, Truong T. N. Mai, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie e Daniel Sonntag. "Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 12 (26 de junho de 2023): 14426–35. http://dx.doi.org/10.1609/aaai.v37i12.26687.
Texto completo da fonteDu, Weinan, Jinghua Li, Fei Wu, Yanfeng Sun e Yongli Hu. "Ordered Subspace Clustering for Complex Non-Rigid Motion by 3D Reconstruction". Applied Sciences 9, n.º 8 (15 de abril de 2019): 1559. http://dx.doi.org/10.3390/app9081559.
Texto completo da fonteBorowska, Marta, Tomasz Jasiński, Sylwia Gierasimiuk, Jolanta Pauk, Bernard Turek, Kamil Górski e Małgorzata Domino. "Three-Dimensional Segmentation Assisted with Clustering Analysis for Surface and Volume Measurements of Equine Incisor in Multidetector Computed Tomography Data Sets". Sensors 23, n.º 21 (2 de novembro de 2023): 8940. http://dx.doi.org/10.3390/s23218940.
Texto completo da fonteSuo, Xuesong, Chenwei Hou, Lei Sun e Zi Liu. "3D Reconstruction Optimization Algorithm Based on Dynamic Clustering in Transformer Substation". Journal of Computational and Theoretical Nanoscience 14, n.º 1 (1 de janeiro de 2017): 248–51. http://dx.doi.org/10.1166/jctn.2017.6156.
Texto completo da fonteGarzon Dasgupta, Andrei K., Alexey A. Martyanov, Aleksandra A. Filkova, Mikhail A. Panteleev e Anastasia N. Sveshnikova. "Development of a Simple Kinetic Mathematical Model of Aggregation of Particles or Clustering of Receptors". Life 10, n.º 6 (26 de junho de 2020): 97. http://dx.doi.org/10.3390/life10060097.
Texto completo da fonteMezghani, Neila, Rayan Soltana, Youssef Ouakrim, Alix Cagnin, Alexandre Fuentes, Nicola Hagemeister e Pascal-André Vendittoli. "Healthy Knee Kinematic Phenotypes Identification Based on a Clustering Data Analysis". Applied Sciences 11, n.º 24 (17 de dezembro de 2021): 12054. http://dx.doi.org/10.3390/app112412054.
Texto completo da fonteLi, Miaopeng, Zimeng Zhou e Xinguo Liu. "3D hypothesis clustering for cross-view matching in multi-person motion capture". Computational Visual Media 6, n.º 2 (junho de 2020): 147–56. http://dx.doi.org/10.1007/s41095-020-0171-y.
Texto completo da fonteJiang, Wuhua, Chuanzheng Song, Hai Wang, Ming Yu e Yajie Yan. "Obstacle Detection by Autonomous Vehicles: An Adaptive Neighborhood Search Radius Clustering Approach". Machines 11, n.º 1 (2 de janeiro de 2023): 54. http://dx.doi.org/10.3390/machines11010054.
Texto completo da fonteMarcatili, Paolo, Konstantinos Mochament, Andreas Agathangelidis, Panagiotis Moschonas, Lesley-Ann Sutton, Xiao-Jie Yan, Vasilis Bikos et al. "Automated Clustering Analysis of Immunoglobulin Sequences in Chronic Lymphocytic Leukemia Based on 3D Structural Descriptors". Blood 128, n.º 22 (2 de dezembro de 2016): 4365. http://dx.doi.org/10.1182/blood.v128.22.4365.4365.
Texto completo da fonteHorache, S., F. Goulette, J. E. Deschaud, T. Lejars e K. Gruel. "AUTOMATIC CLUSTERING OF CELTIC COINS BASED ON 3D POINT CLOUD PATTERN ANALYSIS". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (3 de agosto de 2020): 973–80. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-973-2020.
Texto completo da fonteSuhaibah, A., U. Uznir, F. Anton, D. Mioc e A. A. Rahman. "3D PARTITION-BASED CLUSTERING FOR SUPPLY CHAIN DATA MANAGEMENT". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-2/W2 (19 de outubro de 2015): 9–17. http://dx.doi.org/10.5194/isprsannals-ii-2-w2-9-2015.
Texto completo da fonteAzri, S., U. Ujang e A. Abdul Rahman. "DENDROGRAM CLUSTERING FOR 3D DATA ANALYTICS IN SMART CITY". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W9 (30 de outubro de 2018): 247–53. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w9-247-2018.
Texto completo da fonte