Artigos de revistas sobre o tema "Multivariate segmentation"
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Klose, J. "Binary Segmentation for Multivariate Polynomials". Journal of Complexity 11, n.º 3 (setembro de 1995): 330–43. http://dx.doi.org/10.1006/jcom.1995.1015.
Texto completo da fonteEsteban, Oscar, Gert Wollny, Subrahmanyam Gorthi, María-J. Ledesma-Carbayo, Jean-Philippe Thiran, Andrés Santos e Meritxell Bach-Cuadra. "MBIS: Multivariate Bayesian Image Segmentation tool". Computer Methods and Programs in Biomedicine 115, n.º 2 (julho de 2014): 76–94. http://dx.doi.org/10.1016/j.cmpb.2014.03.003.
Texto completo da fontePortillo-García, J., I. Trueba-Santander, G. de Miguel-Vela e C. Alberola-López. "Efficient multispectral texture segmentation using multivariate statistics". IEE Proceedings - Vision, Image, and Signal Processing 145, n.º 5 (1998): 357. http://dx.doi.org/10.1049/ip-vis:19982315.
Texto completo da fonteLim, Hyunki, Heeseung Choi, Yeji Choi e Ig-Jae Kim. "Memetic algorithm for multivariate time-series segmentation". Pattern Recognition Letters 138 (outubro de 2020): 60–67. http://dx.doi.org/10.1016/j.patrec.2020.06.022.
Texto completo da fonteHallac, David, Peter Nystrup e Stephen Boyd. "Greedy Gaussian segmentation of multivariate time series". Advances in Data Analysis and Classification 13, n.º 3 (22 de agosto de 2018): 727–51. http://dx.doi.org/10.1007/s11634-018-0335-0.
Texto completo da fonteSudbury, Lynn, e Peter Simcock. "A multivariate segmentation model of senior consumers". Journal of Consumer Marketing 26, n.º 4 (26 de junho de 2009): 251–62. http://dx.doi.org/10.1108/07363760910965855.
Texto completo da fonteOmranian, Nooshin, Sebastian Klie, Bernd Mueller-Roeber e Zoran Nikoloski. "Network-Based Segmentation of Biological Multivariate Time Series". PLoS ONE 8, n.º 5 (7 de maio de 2013): e62974. http://dx.doi.org/10.1371/journal.pone.0062974.
Texto completo da fonteIp, Barry, e Gabriel Jacobs. "Segmentation of the games market using multivariate analysis". Journal of Targeting, Measurement and Analysis for Marketing 13, n.º 3 (abril de 2005): 275–87. http://dx.doi.org/10.1057/palgrave.jt.5740154.
Texto completo da fonteNoordam, J. C., W. H. A. M. van den Broek e L. M. C. Buydens. "Unsupervised segmentation of predefined shapes in multivariate images". Journal of Chemometrics 17, n.º 4 (2003): 216–24. http://dx.doi.org/10.1002/cem.794.
Texto completo da fonteLaksono, Bagaskoro Cahyo, e Ika Yuni Wulansari. "Estimating Customer Lifetime Value in the E-Commerce Industry Using Multivariate Analysis". Proceedings of The International Conference on Data Science and Official Statistics 2021, n.º 1 (4 de janeiro de 2022): 507–18. http://dx.doi.org/10.34123/icdsos.v2021i1.161.
Texto completo da fonteGuo, Hongyue, Xiaodong Liu e Lixin Song. "Dynamic programming approach for segmentation of multivariate time series". Stochastic Environmental Research and Risk Assessment 29, n.º 1 (21 de maio de 2014): 265–73. http://dx.doi.org/10.1007/s00477-014-0897-0.
Texto completo da fonteWang, Ling, Kang Li, Qian Ma e YanRong Lu. "Hybrid dynamic learning mechanism for multivariate time series segmentation". Statistical Analysis and Data Mining: The ASA Data Science Journal 13, n.º 2 (25 de janeiro de 2020): 165–77. http://dx.doi.org/10.1002/sam.11448.
Texto completo da fonteK. Naveen Kumar,. "Multivariate Approach for Texture Segmentation using Probabilistic Statistical Model". Journal of Electrical Systems 20, n.º 2 (4 de abril de 2024): 2381–85. http://dx.doi.org/10.52783/jes.2003.
Texto completo da fonteLei, Tao, Yi Wang e Weiwei Luo. "Multivariate Self-Dual Morphological Operators Based on Extremum Constraint". Mathematical Problems in Engineering 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/596348.
Texto completo da fonteCastro-López, Claudio, Purificación Vicente-Galindo, Purificación Galindo-Villardón e Oscar Borrego-Hernández. "TAID-LCA: Segmentation Algorithm Based on Ternary Trees". Mathematics 10, n.º 4 (11 de fevereiro de 2022): 560. http://dx.doi.org/10.3390/math10040560.
Texto completo da fonteANJUM, ARFA, SEEMA JAGGI, SHWETANK LALL, ELDHO VARGHESE, ANIL RAI, ARPAN BHOWMIK e DWIJESH CHANDRA MISHRA. "Segmentation of genomic data through multivariate statistical approaches: comparative analysis". Indian Journal of Agricultural Sciences 92, n.º 7 (30 de março de 2022): 892–96. http://dx.doi.org/10.56093/ijas.v92i7.118040.
Texto completo da fonteLi, Min, e Yu-Mei Huang. "An $L_0$-Norm Regularized Method for Multivariate Time Series Segmentation". East Asian Journal on Applied Mathematics 12, n.º 2 (junho de 2022): 353–66. http://dx.doi.org/10.4208/eajam.180921.050122.
Texto completo da fonteSomasekhar, G., K. Srinivasa Krishna, Ashok Kumar Reddy, T. Kishore Kumar e G. Somasekhar. "Shopper Segmentation Using Multivariate Risk Analysis for Innovative Marketing Strategies". International Journal of Asian Business and Information Management 12, n.º 1 (janeiro de 2021): 60–74. http://dx.doi.org/10.4018/ijabim.20210101.oa4.
Texto completo da fonteHosseini, Jamshid C., Robert R. Harmon e Martin Zwick. "An Information Theoretic Framework for Exploratory Multivariate Market Segmentation Research". Decision Sciences 22, n.º 3 (julho de 1991): 663–77. http://dx.doi.org/10.1111/j.1540-5915.1991.tb01289.x.
Texto completo da fontePiccolboni, Antonio. "Multivariate Segmentation in the Analysis of Transcription Tiling Array Data". Journal of Computational Biology 15, n.º 7 (setembro de 2008): 845–56. http://dx.doi.org/10.1089/cmb.2007.0141.
Texto completo da fonteZhuang, Xiahai. "Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images". IEEE Transactions on Pattern Analysis and Machine Intelligence 41, n.º 12 (1 de dezembro de 2019): 2933–46. http://dx.doi.org/10.1109/tpami.2018.2869576.
Texto completo da fonteWillse, Alan, e Bonnie Tyler. "Poisson and Multinomial Mixture Models for Multivariate SIMS Image Segmentation". Analytical Chemistry 74, n.º 24 (dezembro de 2002): 6314–22. http://dx.doi.org/10.1021/ac025561i.
Texto completo da fonteNoordam, J. C., W. H. A. M. van den Broek e L. M. C. Buydens. "Multivariate image segmentation with cluster size insensitive Fuzzy C-means". Chemometrics and Intelligent Laboratory Systems 64, n.º 1 (outubro de 2002): 65–78. http://dx.doi.org/10.1016/s0169-7439(02)00052-7.
Texto completo da fonteLambert, Christian, Antoine Lutti, Gunther Helms, Richard Frackowiak e John Ashburner. "Multiparametric brainstem segmentation using a modified multivariate mixture of Gaussians". NeuroImage: Clinical 2 (2013): 684–94. http://dx.doi.org/10.1016/j.nicl.2013.04.017.
Texto completo da fonteHazel, G. G. "Multivariate Gaussian MRF for multispectral scene segmentation and anomaly detection". IEEE Transactions on Geoscience and Remote Sensing 38, n.º 3 (maio de 2000): 1199–211. http://dx.doi.org/10.1109/36.843012.
Texto completo da fonteLi, Min, Yumei Huang null e Youwei Wen. "A Total Variation Based Method for Multivariate Time Series Segmentation". Advances in Applied Mathematics and Mechanics 15, n.º 2 (junho de 2023): 300–321. http://dx.doi.org/10.4208/aamm.oa-2021-0209.
Texto completo da fontePicard, F., E. Lebarbier, E. Budinskà e S. Robin. "Joint segmentation of multivariate Gaussian processes using mixed linear models". Computational Statistics & Data Analysis 55, n.º 2 (fevereiro de 2011): 1160–70. http://dx.doi.org/10.1016/j.csda.2010.09.015.
Texto completo da fonteLu, Chang, Jiyou Fei, Xing Zhao e Xiongfei Shao. "Laser Cutting Thermal Error Prediction Method Based on Multivariate Segmentation". Journal of Physics: Conference Series 2541, n.º 1 (1 de julho de 2023): 012027. http://dx.doi.org/10.1088/1742-6596/2541/1/012027.
Texto completo da fonteNoyel, Guillaume, Jesus Angulo, Dominique Jeulin, Daniel Balvay e Charles-André Cuenod. "MULTIVARIATE MATHEMATICAL MORPHOLOGY FOR DCE-MRI IMAGE ANALYSIS IN ANGIOGENESIS STUDIES". Image Analysis & Stereology 34, n.º 1 (30 de maio de 2014): 1. http://dx.doi.org/10.5566/ias.1109.
Texto completo da fonteNeubauer, Jakob, Konrad Wilhelm, Christian Gratzke, Fabian Bamberg, Marco Reisert e Elias Kellner. "Effect of surface-partial-volume correction and adaptive threshold on segmentation of uroliths in computed tomography". PLOS ONE 18, n.º 6 (23 de junho de 2023): e0286016. http://dx.doi.org/10.1371/journal.pone.0286016.
Texto completo da fonteSenthilkumar, R., B. RubanRaja e Monisha. "Brand Positioning and Segmentation of Sneakers through Multi-Dimensional Customer Experience Analysis". Journal of Scientific Research 13, n.º 2 (1 de maio de 2021): 335–45. http://dx.doi.org/10.3329/jsr.v13i2.47841.
Texto completo da fonteMishulina, O. A., e I. N. Sukonkin. "Multivariate time series segmentation for generalized description of dynamic systems operation". Optical Memory and Neural Networks 21, n.º 2 (abril de 2012): 94–104. http://dx.doi.org/10.3103/s1060992x12020038.
Texto completo da fonteMa, Yi, Harm Derksen, Wei Hong e John Wright. "Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression". IEEE Transactions on Pattern Analysis and Machine Intelligence 29, n.º 9 (setembro de 2007): 1546–62. http://dx.doi.org/10.1109/tpami.2007.1085.
Texto completo da fonteSchenone, A., F. Firenze, F. Acquarone, M. Gambaro, F. Masulli e L. Andreucci. "Segmentation of multivariate medical images via unsupervised clustering with “adaptive resolution”". Computerized Medical Imaging and Graphics 20, n.º 3 (maio de 1996): 119–29. http://dx.doi.org/10.1016/0895-6111(96)00008-0.
Texto completo da fonteLiu, Zhe, Yu-Qing Song, Jian-Mei Chen, Cong-Hua Xie e Feng Zhu. "Color image segmentation using nonparametric mixture models with multivariate orthogonal polynomials". Neural Computing and Applications 21, n.º 4 (16 de fevereiro de 2011): 801–11. http://dx.doi.org/10.1007/s00521-011-0538-1.
Texto completo da fonteAbonyi, Janos, Balazs Feil, Sandor Nemeth e Peter Arva. "Modified Gath–Geva clustering for fuzzy segmentation of multivariate time-series". Fuzzy Sets and Systems 149, n.º 1 (janeiro de 2005): 39–56. http://dx.doi.org/10.1016/j.fss.2004.07.008.
Texto completo da fonteWang, Ling, Hui Zhu e Gaofeng Jia. "Adaptive G–G clustering for fuzzy segmentation of multivariate time series". Stochastic Environmental Research and Risk Assessment 34, n.º 9 (2 de junho de 2020): 1353–67. http://dx.doi.org/10.1007/s00477-020-01817-w.
Texto completo da fonteTanatavikorn, Harakhun, e Yoshiyuki Yamashita. "Batch Process Monitoring Based on Fuzzy Segmentation of Multivariate Time-Series". Journal of Chemical Engineering of Japan 50, n.º 1 (2017): 53–63. http://dx.doi.org/10.1252/jcej.16we193.
Texto completo da fonteHan, Minyeon, e F. C. Park. "DTI Segmentation and Fiber Tracking Using Metrics on Multivariate Normal Distributions". Journal of Mathematical Imaging and Vision 49, n.º 2 (6 de dezembro de 2013): 317–34. http://dx.doi.org/10.1007/s10851-013-0466-z.
Texto completo da fonteQin, A. K., e David A. Clausi. "Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty". IEEE Transactions on Image Processing 19, n.º 8 (agosto de 2010): 2157–70. http://dx.doi.org/10.1109/tip.2010.2045708.
Texto completo da fonteLazar, Cosmin, Andrei Doncescu e Nabil Kabbaj. "Non Negative Matrix Factorisation clustering capabilities; application on multivariate image segmentation". International Journal of Business Intelligence and Data Mining 5, n.º 3 (2010): 285. http://dx.doi.org/10.1504/ijbidm.2010.033363.
Texto completo da fonteDing, Mingtao, Lihan He, David Dunson e Lawrence Carin. "Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process". Bayesian Analysis 7, n.º 4 (dezembro de 2012): 813–40. http://dx.doi.org/10.1214/12-ba727.
Texto completo da fonteNoordam, J. C., e W. H. A. M. van den Broek. "Multivariate image segmentation based on geometrically guided fuzzy C-means clustering". Journal of Chemometrics 16, n.º 1 (janeiro de 2002): 1–11. http://dx.doi.org/10.1002/cem.656.
Texto completo da fonteWang, Ling, e Peng Shen. "Memetic segmentation based on variable lag aware for multivariate time series". Information Sciences 657 (fevereiro de 2024): 120003. http://dx.doi.org/10.1016/j.ins.2023.120003.
Texto completo da fonteUR, Orth, e J. Turečková. "Segmenting the tourism market using perceptual and attitudinal mapping". Agricultural Economics (Zemědělská ekonomika) 48, No. 1 (29 de fevereiro de 2012): 36–48. http://dx.doi.org/10.17221/5286-agricecon.
Texto completo da fonteLim, Jong Gwan, Mi-hye Kim e Sahngwoon Lee. "Empirical Validation of Objective Functions in Feature Selection Based on Acceleration Motion Segmentation Data". Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/280140.
Texto completo da fonteDai, Bing, Yingjie Peng, Ning Lin e Peng Wang. "Bearing Fault Diagnosis Based on Prime Mean Spectral Segmentation Kurtogram". Journal of Physics: Conference Series 2419, n.º 1 (1 de janeiro de 2023): 012080. http://dx.doi.org/10.1088/1742-6596/2419/1/012080.
Texto completo da fonteZhang, Changrui, e Jia Wang. "PIS-Net: Efficient Medical Image Segmentation Network with Multivariate Downsampling for Point-of-Care". Entropy 26, n.º 4 (26 de março de 2024): 284. http://dx.doi.org/10.3390/e26040284.
Texto completo da fonteLi, Kenan, Rima Habre, Huiyu Deng, Robert Urman, John Morrison, Frank D. Gilliland, José Luis Ambite et al. "Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors’ Data". JMIR mHealth and uHealth 7, n.º 2 (7 de fevereiro de 2019): e11201. http://dx.doi.org/10.2196/11201.
Texto completo da fonteKuo, R. J., Patipharn Amornnikun e Thi Phuong Quyen Nguyen. "Metaheuristic-based possibilistic multivariate fuzzy weighted c-means algorithms for market segmentation". Applied Soft Computing 96 (novembro de 2020): 106639. http://dx.doi.org/10.1016/j.asoc.2020.106639.
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