Artículos de revistas sobre el tema "Multivariate segmentation"
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Klose, J. "Binary Segmentation for Multivariate Polynomials". Journal of Complexity 11, n.º 3 (septiembre de 1995): 330–43. http://dx.doi.org/10.1006/jcom.1995.1015.
Esteban, Oscar, Gert Wollny, Subrahmanyam Gorthi, María-J. Ledesma-Carbayo, Jean-Philippe Thiran, Andrés Santos y Meritxell Bach-Cuadra. "MBIS: Multivariate Bayesian Image Segmentation tool". Computer Methods and Programs in Biomedicine 115, n.º 2 (julio de 2014): 76–94. http://dx.doi.org/10.1016/j.cmpb.2014.03.003.
Portillo-García, J., I. Trueba-Santander, G. de Miguel-Vela y 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.
Lim, Hyunki, Heeseung Choi, Yeji Choi y Ig-Jae Kim. "Memetic algorithm for multivariate time-series segmentation". Pattern Recognition Letters 138 (octubre de 2020): 60–67. http://dx.doi.org/10.1016/j.patrec.2020.06.022.
Hallac, David, Peter Nystrup y 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.
Sudbury, Lynn y Peter Simcock. "A multivariate segmentation model of senior consumers". Journal of Consumer Marketing 26, n.º 4 (26 de junio de 2009): 251–62. http://dx.doi.org/10.1108/07363760910965855.
Omranian, Nooshin, Sebastian Klie, Bernd Mueller-Roeber y Zoran Nikoloski. "Network-Based Segmentation of Biological Multivariate Time Series". PLoS ONE 8, n.º 5 (7 de mayo de 2013): e62974. http://dx.doi.org/10.1371/journal.pone.0062974.
Ip, Barry y 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.
Noordam, J. C., W. H. A. M. van den Broek y 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.
Laksono, Bagaskoro Cahyo y 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 enero de 2022): 507–18. http://dx.doi.org/10.34123/icdsos.v2021i1.161.
Guo, Hongyue, Xiaodong Liu y Lixin Song. "Dynamic programming approach for segmentation of multivariate time series". Stochastic Environmental Research and Risk Assessment 29, n.º 1 (21 de mayo de 2014): 265–73. http://dx.doi.org/10.1007/s00477-014-0897-0.
Wang, Ling, Kang Li, Qian Ma y 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 enero de 2020): 165–77. http://dx.doi.org/10.1002/sam.11448.
K. 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.
Lei, Tao, Yi Wang y 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.
Castro-López, Claudio, Purificación Vicente-Galindo, Purificación Galindo-Villardón y Oscar Borrego-Hernández. "TAID-LCA: Segmentation Algorithm Based on Ternary Trees". Mathematics 10, n.º 4 (11 de febrero de 2022): 560. http://dx.doi.org/10.3390/math10040560.
ANJUM, ARFA, SEEMA JAGGI, SHWETANK LALL, ELDHO VARGHESE, ANIL RAI, ARPAN BHOWMIK y DWIJESH CHANDRA MISHRA. "Segmentation of genomic data through multivariate statistical approaches: comparative analysis". Indian Journal of Agricultural Sciences 92, n.º 7 (30 de marzo de 2022): 892–96. http://dx.doi.org/10.56093/ijas.v92i7.118040.
Li, Min y Yu-Mei Huang. "An $L_0$-Norm Regularized Method for Multivariate Time Series Segmentation". East Asian Journal on Applied Mathematics 12, n.º 2 (junio de 2022): 353–66. http://dx.doi.org/10.4208/eajam.180921.050122.
Somasekhar, G., K. Srinivasa Krishna, Ashok Kumar Reddy, T. Kishore Kumar y G. Somasekhar. "Shopper Segmentation Using Multivariate Risk Analysis for Innovative Marketing Strategies". International Journal of Asian Business and Information Management 12, n.º 1 (enero de 2021): 60–74. http://dx.doi.org/10.4018/ijabim.20210101.oa4.
Hosseini, Jamshid C., Robert R. Harmon y Martin Zwick. "An Information Theoretic Framework for Exploratory Multivariate Market Segmentation Research". Decision Sciences 22, n.º 3 (julio de 1991): 663–77. http://dx.doi.org/10.1111/j.1540-5915.1991.tb01289.x.
Piccolboni, Antonio. "Multivariate Segmentation in the Analysis of Transcription Tiling Array Data". Journal of Computational Biology 15, n.º 7 (septiembre de 2008): 845–56. http://dx.doi.org/10.1089/cmb.2007.0141.
Zhuang, 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 diciembre de 2019): 2933–46. http://dx.doi.org/10.1109/tpami.2018.2869576.
Willse, Alan y Bonnie Tyler. "Poisson and Multinomial Mixture Models for Multivariate SIMS Image Segmentation". Analytical Chemistry 74, n.º 24 (diciembre de 2002): 6314–22. http://dx.doi.org/10.1021/ac025561i.
Noordam, J. C., W. H. A. M. van den Broek y L. M. C. Buydens. "Multivariate image segmentation with cluster size insensitive Fuzzy C-means". Chemometrics and Intelligent Laboratory Systems 64, n.º 1 (octubre de 2002): 65–78. http://dx.doi.org/10.1016/s0169-7439(02)00052-7.
Lambert, Christian, Antoine Lutti, Gunther Helms, Richard Frackowiak y 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.
Hazel, G. G. "Multivariate Gaussian MRF for multispectral scene segmentation and anomaly detection". IEEE Transactions on Geoscience and Remote Sensing 38, n.º 3 (mayo de 2000): 1199–211. http://dx.doi.org/10.1109/36.843012.
Li, Min, Yumei Huang null y Youwei Wen. "A Total Variation Based Method for Multivariate Time Series Segmentation". Advances in Applied Mathematics and Mechanics 15, n.º 2 (junio de 2023): 300–321. http://dx.doi.org/10.4208/aamm.oa-2021-0209.
Picard, F., E. Lebarbier, E. Budinskà y S. Robin. "Joint segmentation of multivariate Gaussian processes using mixed linear models". Computational Statistics & Data Analysis 55, n.º 2 (febrero de 2011): 1160–70. http://dx.doi.org/10.1016/j.csda.2010.09.015.
Lu, Chang, Jiyou Fei, Xing Zhao y Xiongfei Shao. "Laser Cutting Thermal Error Prediction Method Based on Multivariate Segmentation". Journal of Physics: Conference Series 2541, n.º 1 (1 de julio de 2023): 012027. http://dx.doi.org/10.1088/1742-6596/2541/1/012027.
Noyel, Guillaume, Jesus Angulo, Dominique Jeulin, Daniel Balvay y Charles-André Cuenod. "MULTIVARIATE MATHEMATICAL MORPHOLOGY FOR DCE-MRI IMAGE ANALYSIS IN ANGIOGENESIS STUDIES". Image Analysis & Stereology 34, n.º 1 (30 de mayo de 2014): 1. http://dx.doi.org/10.5566/ias.1109.
Neubauer, Jakob, Konrad Wilhelm, Christian Gratzke, Fabian Bamberg, Marco Reisert y 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 junio de 2023): e0286016. http://dx.doi.org/10.1371/journal.pone.0286016.
Senthilkumar, R., B. RubanRaja y Monisha. "Brand Positioning and Segmentation of Sneakers through Multi-Dimensional Customer Experience Analysis". Journal of Scientific Research 13, n.º 2 (1 de mayo de 2021): 335–45. http://dx.doi.org/10.3329/jsr.v13i2.47841.
Mishulina, O. A. y 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.
Ma, Yi, Harm Derksen, Wei Hong y 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 (septiembre de 2007): 1546–62. http://dx.doi.org/10.1109/tpami.2007.1085.
Schenone, A., F. Firenze, F. Acquarone, M. Gambaro, F. Masulli y L. Andreucci. "Segmentation of multivariate medical images via unsupervised clustering with “adaptive resolution”". Computerized Medical Imaging and Graphics 20, n.º 3 (mayo de 1996): 119–29. http://dx.doi.org/10.1016/0895-6111(96)00008-0.
Liu, Zhe, Yu-Qing Song, Jian-Mei Chen, Cong-Hua Xie y Feng Zhu. "Color image segmentation using nonparametric mixture models with multivariate orthogonal polynomials". Neural Computing and Applications 21, n.º 4 (16 de febrero de 2011): 801–11. http://dx.doi.org/10.1007/s00521-011-0538-1.
Abonyi, Janos, Balazs Feil, Sandor Nemeth y Peter Arva. "Modified Gath–Geva clustering for fuzzy segmentation of multivariate time-series". Fuzzy Sets and Systems 149, n.º 1 (enero de 2005): 39–56. http://dx.doi.org/10.1016/j.fss.2004.07.008.
Wang, Ling, Hui Zhu y 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 junio de 2020): 1353–67. http://dx.doi.org/10.1007/s00477-020-01817-w.
Tanatavikorn, Harakhun y 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.
Han, Minyeon y 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 diciembre de 2013): 317–34. http://dx.doi.org/10.1007/s10851-013-0466-z.
Qin, A. K. y 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.
Lazar, Cosmin, Andrei Doncescu y 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.
Ding, Mingtao, Lihan He, David Dunson y Lawrence Carin. "Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process". Bayesian Analysis 7, n.º 4 (diciembre de 2012): 813–40. http://dx.doi.org/10.1214/12-ba727.
Noordam, J. C. y 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 (enero de 2002): 1–11. http://dx.doi.org/10.1002/cem.656.
Wang, Ling y Peng Shen. "Memetic segmentation based on variable lag aware for multivariate time series". Information Sciences 657 (febrero de 2024): 120003. http://dx.doi.org/10.1016/j.ins.2023.120003.
UR, Orth y J. Turečková. "Segmenting the tourism market using perceptual and attitudinal mapping". Agricultural Economics (Zemědělská ekonomika) 48, No. 1 (29 de febrero de 2012): 36–48. http://dx.doi.org/10.17221/5286-agricecon.
Lim, Jong Gwan, Mi-hye Kim y 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.
Dai, Bing, Yingjie Peng, Ning Lin y Peng Wang. "Bearing Fault Diagnosis Based on Prime Mean Spectral Segmentation Kurtogram". Journal of Physics: Conference Series 2419, n.º 1 (1 de enero de 2023): 012080. http://dx.doi.org/10.1088/1742-6596/2419/1/012080.
Zhang, Changrui y Jia Wang. "PIS-Net: Efficient Medical Image Segmentation Network with Multivariate Downsampling for Point-of-Care". Entropy 26, n.º 4 (26 de marzo de 2024): 284. http://dx.doi.org/10.3390/e26040284.
Li, 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 febrero de 2019): e11201. http://dx.doi.org/10.2196/11201.
Kuo, R. J., Patipharn Amornnikun y Thi Phuong Quyen Nguyen. "Metaheuristic-based possibilistic multivariate fuzzy weighted c-means algorithms for market segmentation". Applied Soft Computing 96 (noviembre de 2020): 106639. http://dx.doi.org/10.1016/j.asoc.2020.106639.