Artículos de revistas sobre el tema "LINEAR ITERATIVE CLUSTERING"
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Zhao, Jiaxing, Ren Bo, Qibin Hou, Ming-Ming Cheng y Paul Rosin. "FLIC: Fast linear iterative clustering with active search". Computational Visual Media 4, n.º 4 (27 de octubre de 2018): 333–48. http://dx.doi.org/10.1007/s41095-018-0123-y.
Texto completoYan, Qingan, Long Yang, Chao Liang, Huajun Liu, Ruimin Hu y Chunxia Xiao. "Geometrically Based Linear Iterative Clustering for Quantitative Feature Correspondence". Computer Graphics Forum 35, n.º 7 (octubre de 2016): 1–10. http://dx.doi.org/10.1111/cgf.12998.
Texto completoMagaraja, Anousouya Devi, Ezhilarasie Rajapackiyam, Vaitheki Kanagaraj, Suresh Joseph Kanagaraj, Ketan Kotecha, Subramaniyaswamy Vairavasundaram, Mayuri Mehta y Vasile Palade. "A Hybrid Linear Iterative Clustering and Bayes Classification-Based GrabCut Segmentation Scheme for Dynamic Detection of Cervical Cancer". Applied Sciences 12, n.º 20 (18 de octubre de 2022): 10522. http://dx.doi.org/10.3390/app122010522.
Texto completoEun, Hyunjun, Yoonhyung Kim, Chanho Jung y Changick Kim. "Adaptive Sampling of Initial Cluster Centers for Simple Linear Iterative Clustering". Journal of Korean Institute of Communications and Information Sciences 43, n.º 1 (31 de enero de 2018): 20–23. http://dx.doi.org/10.7840/kics.2018.43.1.20.
Texto completoOh, Ki-Won y Kang-Sun Choi. "Acceleration of simple linear iterative clustering using early candidate cluster exclusion". Journal of Real-Time Image Processing 16, n.º 4 (31 de marzo de 2016): 945–56. http://dx.doi.org/10.1007/s11554-016-0583-1.
Texto completoChoi, Kang-Sun y Ki-Won Oh. "Subsampling-based acceleration of simple linear iterative clustering for superpixel segmentation". Computer Vision and Image Understanding 146 (mayo de 2016): 1–8. http://dx.doi.org/10.1016/j.cviu.2016.02.018.
Texto completoYamamoto, Takeshi, Katsuhiro Honda, Akira Notsu y Hidetomo Ichihashi. "A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data". Advances in Fuzzy Systems 2011 (2011): 1–10. http://dx.doi.org/10.1155/2011/265170.
Texto completoHuang, Hui-Yu y Zhe-Hao Liu. "Stereo Matching with Spatiotemporal Disparity Refinement Using Simple Linear Iterative Clustering Segmentation". Electronics 10, n.º 6 (18 de marzo de 2021): 717. http://dx.doi.org/10.3390/electronics10060717.
Texto completoCong, Jinyu, Benzheng Wei, Yilong Yin, Xiaoming Xi y Yuanjie Zheng. "Performance evaluation of simple linear iterative clustering algorithm on medical image processing". Bio-Medical Materials and Engineering 24, n.º 6 (2014): 3231–38. http://dx.doi.org/10.3233/bme-141145.
Texto completoMeenalochani, Manickam, Natarajan Hemavathi y Selvaraj Sudha. "Performance analysis of iterative linear regression-based clustering in wireless sensor networks". IET Science, Measurement & Technology 14, n.º 4 (1 de junio de 2020): 423–29. http://dx.doi.org/10.1049/iet-smt.2019.0258.
Texto completoTang, Xiaoqing, Junlong Chen, Yazhou Liu y Quansen Sun. "Hyperspectral image classification by fusing sparse representation and simple linear iterative clustering". Journal of Applied Remote Sensing 9, n.º 1 (22 de diciembre de 2015): 095977. http://dx.doi.org/10.1117/1.jrs.9.095977.
Texto completoMarleny, Finki Dona, Ihdalhubbi Maulida y Mambang Mambang. "SIMPLE LINEAR ITERATIVE CLUSTERING (SLIC) UNTUK SEGMENTASI MOTIF DASAR CITRA KAIN SASIRANGAN". Jurnal Simantec 11, n.º 1 (28 de diciembre de 2022): 19–26. http://dx.doi.org/10.21107/simantec.v11i1.14274.
Texto completoNagata, Munehiro, Masatsugu Hada, Masashi Iwasaki y Yoshimasa Nakamura. "Eigenvalue clustering of coefficient matrices in the iterative stride reductions for linear systems". Computers & Mathematics with Applications 71, n.º 1 (enero de 2016): 349–55. http://dx.doi.org/10.1016/j.camwa.2015.11.022.
Texto completoBommisetty, Reddy Mounika, Om Prakash y Ashish Khare. "Video superpixels generation through integration of curvelet transform and simple linear iterative clustering". Multimedia Tools and Applications 78, n.º 17 (21 de mayo de 2019): 25185–219. http://dx.doi.org/10.1007/s11042-019-7554-z.
Texto completoLiu, Tianli, Dongsong Li, Zhiming Jiao, Tao Liang, Hao Zhou y Guoqing Yang. "A coloured oil level indicator detection method based on simple linear iterative clustering". IOP Conference Series: Earth and Environmental Science 100 (diciembre de 2017): 012151. http://dx.doi.org/10.1088/1755-1315/100/1/012151.
Texto completoWang, Yuchan, Baojiu Li y Marius Cautun. "Iterative removal of redshift-space distortions from galaxy clustering". Monthly Notices of the Royal Astronomical Society 497, n.º 3 (24 de julio de 2020): 3451–71. http://dx.doi.org/10.1093/mnras/staa2136.
Texto completoZhu, Yaguang, Kailu Luo, Chao Ma, Qiong Liu y Bo Jin. "Superpixel Segmentation Based Synthetic Classifications with Clear Boundary Information for a Legged Robot". Sensors 18, n.º 9 (25 de agosto de 2018): 2808. http://dx.doi.org/10.3390/s18092808.
Texto completoWuttke, S., W. Middelmann y U. Stilla. "IMPROVING ACTIVE QUERIES WITH A LOCAL SEGMENTATION STEP AND APPLICATION TO LAND COVER CLASSIFICATION". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-1/W1 (30 de mayo de 2017): 165–73. http://dx.doi.org/10.5194/isprs-annals-iv-1-w1-165-2017.
Texto completoAngulakshmi, M. y G. G. Lakshmi Priya. "Walsh Hadamard Transform for Simple Linear Iterative Clustering (SLIC) Superpixel Based Spectral Clustering of Multimodal MRI Brain Tumor Segmentation". IRBM 40, n.º 5 (octubre de 2019): 253–62. http://dx.doi.org/10.1016/j.irbm.2019.04.005.
Texto completoSnehalatha, Snehalatha. "Brain Mri Image Segmentation Using Simple Linear Iterative Clustering (SLIC) Segmentation With Superpixel Fusion". Bioscience Biotechnology Research Communications 14, n.º 5 (15 de junio de 2021): 358–64. http://dx.doi.org/10.21786/bbrc/14.5/62.
Texto completoPrasad Kondisetty, Durga y Mohammed Ali Hussain. "A novel approach for cDNA image segmentation using SLIC based SOM methodology". International Journal of Engineering & Technology 7, n.º 2.8 (19 de marzo de 2018): 52. http://dx.doi.org/10.14419/ijet.v7i2.8.10323.
Texto completoLiu, Bowen, Ting Zhang, Yujian Li, Zhaoying Liu y Zhilin Zhang. "Kernel Probabilistic K-Means Clustering". Sensors 21, n.º 5 (8 de marzo de 2021): 1892. http://dx.doi.org/10.3390/s21051892.
Texto completoTang, Wei, Yang Yang, Lanling Zeng y Yongzhao Zhan. "Optimizing MSE for Clustering with Balanced Size Constraints". Symmetry 11, n.º 3 (6 de marzo de 2019): 338. http://dx.doi.org/10.3390/sym11030338.
Texto completoNARAZAKI, HIROSHI y ANCA L. RALESCU. "ITERATIVE INDUCTION OF A CATEGORY MEMBERSHIP FUNCTION". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 02, n.º 01 (marzo de 1994): 91–100. http://dx.doi.org/10.1142/s0218488594000080.
Texto completoRen Xinlei, 任欣磊 y 王阳萍 Wang Yangping. "Super-Pixel Segmentation of Remote Sensing Image Based on Improved Simple Linear Iterative Clustering Algorithm". Laser & Optoelectronics Progress 57, n.º 22 (2020): 222801. http://dx.doi.org/10.3788/lop57.222801.
Texto completoRen, Dayong, Zhenhong Jia, Jie Yang y Nikola K. Kasabov. "A Practical GrabCut Color Image Segmentation Based on Bayes Classification and Simple Linear Iterative Clustering". IEEE Access 5 (2017): 18480–87. http://dx.doi.org/10.1109/access.2017.2752221.
Texto completoFarmaha, Ihor, Marian Banaś, Vasyl Savchyn, Bohdan Lukashchuk y Taras Farmaha. "Wound image segmentation using clustering based algorithms". New Trends in Production Engineering 2, n.º 1 (1 de octubre de 2019): 570–78. http://dx.doi.org/10.2478/ntpe-2019-0062.
Texto completoKim, Yong Hwi y Kwan H. Lee. "Data Driven SVBRDF Estimation Using Deep Embedded Clustering". Electronics 11, n.º 19 (9 de octubre de 2022): 3239. http://dx.doi.org/10.3390/electronics11193239.
Texto completoHermawan, Andy, Ilham Zaeni, Aji Wibawa, Gunawan Gunawan, Yosi Kristian y Shandy Darmawan. "Pengenalan Varietas Ikan Koi Berdasarkan Foto Menggunakan Simple Linear Iterative Clustering Superpixel Segmentation dan Convolutional Neural". Jurnal Inovasi Teknologi dan Edukasi Teknik 1, n.º 11 (24 de noviembre de 2021): 806–14. http://dx.doi.org/10.17977/um068v1i112021p806-814.
Texto completoLiu, Yiting, Lianjie Sui, Peijuan Li, Lei Zhang, Qingzheng Wu, Junfeng Du, Yawen Liu y Hanqi Yu. "A Radar Linear Feature Fitting Algorithm Combining Adaptive Clustering and Corner Detection Operator". Journal of Sensors 2023 (24 de febrero de 2023): 1–17. http://dx.doi.org/10.1155/2023/6991467.
Texto completoZHANG, CHONG, XUANJING SHEN y HAIPENG CHEN. "BRAIN TUMOR SEGMENTATION BASED ON SUPERPIXELS AND HYBRID CLUSTERING WITH FAST GUIDED FILTER". Journal of Mechanics in Medicine and Biology 20, n.º 06 (agosto de 2020): 2050032. http://dx.doi.org/10.1142/s0219519420500323.
Texto completoDIMAGGIO, PETER A., SCOTT R. MCALLISTER, CHRISTODOULOS A. FLOUDAS, XIAO-JIANG FENG, JOSHUA D. RABINOWITZ y HERSCHEL A. RABITZ. "OPTIMAL METHODS FOR RE-ORDERING DATA MATRICES IN SYSTEMS BIOLOGY AND DRUG DISCOVERY APPLICATIONS". Biophysical Reviews and Letters 03, n.º 01n02 (abril de 2008): 19–42. http://dx.doi.org/10.1142/s1793048008000605.
Texto completoLee, Jeong Hwan. "A Comparison of Superpixel Characteristics based on SLIC(Simple Linear Iterative Clustering) for Color Feature Spaces". Journal of the Korea Society of Digital Industry and Information Management 10, n.º 4 (30 de diciembre de 2014): 151–60. http://dx.doi.org/10.17662/ksdim.2014.10.1.151.
Texto completoChang, Kaiwen y Bruno Figliuzzi. "Fast marching based superpixels". Mathematical Morphology - Theory and Applications 4, n.º 1 (17 de diciembre de 2020): 127–42. http://dx.doi.org/10.1515/mathm-2020-0105.
Texto completoKondisetty, Durga Prasad y Mohammed Ali Hussain. "SLIC Superpixel Based Self Organizing Maps Algorithm for Segmentation of Microarray Images". International Journal of Advances in Applied Sciences 7, n.º 1 (1 de marzo de 2018): 78. http://dx.doi.org/10.11591/ijaas.v7.i1.pp78-85.
Texto completoGopalakrishnan, Vithya. "Enhancement of Sales promotion using Clustering Techniques in Data Mart". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, n.º 2 (4 de diciembre de 2015): 6534–40. http://dx.doi.org/10.24297/ijct.v15i2.6934.
Texto completoLiu, Xinwang, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin y Wen Gao. "Efficient and Effective Incomplete Multi-View Clustering". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 4392–99. http://dx.doi.org/10.1609/aaai.v33i01.33014392.
Texto completoSumithra, S., K. R. Remya y Dr M. N. Giri Prasad. "Automatic Detection and Localization of Macular Edema". Volume 5 - 2020, Issue 9 - September 5, n.º 9 (25 de septiembre de 2020): 552–58. http://dx.doi.org/10.38124/ijisrt20sep342.
Texto completoLi, Qiuxia, Tingkui Mu, Hang Gong, Haishan Dai, Chunlai Li, Zhiping He, Wenjing Wang et al. "A Superpixel-by-Superpixel Clustering Framework for Hyperspectral Change Detection". Remote Sensing 14, n.º 12 (13 de junio de 2022): 2838. http://dx.doi.org/10.3390/rs14122838.
Texto completoWang, Shuopeng, Peng Yang y Hao Sun. "Fingerprinting Acoustic Localization Indoor Based on Cluster Analysis and Iterative Interpolation". Applied Sciences 8, n.º 10 (10 de octubre de 2018): 1862. http://dx.doi.org/10.3390/app8101862.
Texto completoLiu, Qingbing. "New Preconditioners for Nonsymmetric Saddle Point Systems with Singular (1,1) Block". ISRN Computational Mathematics 2013 (27 de agosto de 2013): 1–8. http://dx.doi.org/10.1155/2013/507817.
Texto completoCarrilho, A. C. y M. Galo. "AUTOMATIC OBJECT EXTRACTION FROM HIGH RESOLUTION AERIAL IMAGERY WITH SIMPLE LINEAR ITERATIVE CLUSTERING AND CONVOLUTIONAL NEURAL NETWORKS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W16 (17 de septiembre de 2019): 61–66. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-61-2019.
Texto completoMohamed, Nur Ayuni, Mohd Asyraf Zulkifley, Wan Mimi Diyana Wan Zaki y Aini Hussain. "An automated glaucoma screening system using cup-to-disc ratio via Simple Linear Iterative Clustering superpixel approach". Biomedical Signal Processing and Control 53 (agosto de 2019): 101454. http://dx.doi.org/10.1016/j.bspc.2019.01.003.
Texto completoWu, Rouwan, Zhiyong Xu, Jianlin Zhang y Lihong Zhang. "Robust Global Motion Estimation for Video Stabilization Based on Improved K-Means Clustering and Superpixel". Sensors 21, n.º 7 (3 de abril de 2021): 2505. http://dx.doi.org/10.3390/s21072505.
Texto completoWang, Yu, Qi Qi y Xuanjing Shen. "Image Segmentation of Brain MRI Based on LTriDP and Superpixels of Improved SLIC". Brain Sciences 10, n.º 2 (20 de febrero de 2020): 116. http://dx.doi.org/10.3390/brainsci10020116.
Texto completoHe, Wangpeng, Cheng Li, Yanzong Guo, Zhifei Wei y Baolong Guo. "A Two-Stage Gradient Ascent-Based Superpixel Framework for Adaptive Segmentation". Applied Sciences 9, n.º 12 (13 de junio de 2019): 2421. http://dx.doi.org/10.3390/app9122421.
Texto completoSaab, Youssef. "A New 2-way Multi-level Partitioning Algorithm". VLSI Design 11, n.º 3 (1 de enero de 2000): 301–10. http://dx.doi.org/10.1155/2000/65821.
Texto completoZhou, H. y H. A. A. Tchelepi. "Two-Stage Algebraic Multiscale Linear Solver for Highly Heterogeneous Reservoir Models". SPE Journal 17, n.º 02 (6 de febrero de 2012): 523–39. http://dx.doi.org/10.2118/141473-pa.
Texto completoH.L, Aravinda y M. V. Sudhamani. "Liver tumour classification using average correction higher order local autocorrelation coefficient and legendre moments". International Journal of Engineering & Technology 7, n.º 2.6 (11 de marzo de 2018): 306. http://dx.doi.org/10.14419/ijet.v7i2.6.11269.
Texto completoPatil, Sumangali, A. Nagaraja Rao y C. Shoba Bindu. "Class level software fault prediction using step wise linear regression". International Journal of Engineering & Technology 7, n.º 4 (24 de septiembre de 2018): 2552. http://dx.doi.org/10.14419/ijet.v7i2.17.14881.
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