Добірка наукової літератури з теми "Binary projection"
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Статті в журналах з теми "Binary projection"
ZHAO, JIAN, and JIAN AN. "AN ITERATIVE CONVEX HULL APPROACH FOR IMAGE SEGMENTATION AND CONTOUR EXTRACTION." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 07 (November 2012): 1255013. http://dx.doi.org/10.1142/s0218001412550130.
Повний текст джерелаTANG, Peikai, Wei CHEN, and Yicheng MAI. "Binary projection for image local descriptor." Journal of Computer Applications 33, no. 4 (October 11, 2013): 1096–99. http://dx.doi.org/10.3724/sp.j.1087.2013.01096.
Повний текст джерелаBleichrodt, Folkert, Jan De Beenhouwer, Jan Sijbers, and Kees Joost Batenburg. "Aligning Projection Images from Binary Volumes." Fundamenta Informaticae 135, no. 1-2 (2014): 21–42. http://dx.doi.org/10.3233/fi-2014-1110.
Повний текст джерелаVarga, László, Péter Balázs, and Antal Nagy. "Projection Selection Dependency in Binary Tomography." Acta Cybernetica 20, no. 1 (2011): 167–87. http://dx.doi.org/10.14232/actacyb.20.1.2011.12.
Повний текст джерелаDelhomm�, C. "Projection properties and reflexive binary relations." Algebra Universalis 41, no. 4 (September 1, 1999): 255–81. http://dx.doi.org/10.1007/s000120050115.
Повний текст джерелаYan, Hui, Xiaotong Yuan, Shuicheng Yan, and Jingyu Yang. "Correntropy based feature selection using binary projection." Pattern Recognition 44, no. 12 (December 2011): 2834–42. http://dx.doi.org/10.1016/j.patcog.2011.04.014.
Повний текст джерелаKUMAR, CHANDAN. "NP/DP Parameter and Classifier Languages: A Case of Magahi." Journal of Indian and Asian Studies 01, no. 01 (January 2020): 2050005. http://dx.doi.org/10.1142/s2717541320500059.
Повний текст джерелаFu Lina, 付莉娜, 杨静雯 Yang Jingwen, 李雁玲 Li Yanling, 张宗华 Zhang Zonghua, 高楠 Gao Nan, 孟召宗 Meng Zhaozong, 高峰 Gao Feng та 蒋向前 Jiang Xiangqian. "二值条纹离焦投影技术综述". Laser & Optoelectronics Progress 59, № 14 (2022): 1415011. http://dx.doi.org/10.3788/lop202259.1415011.
Повний текст джерелаWeng, Zhenyu, and Yuesheng Zhu. "Online Hashing with Efficient Updating of Binary Codes." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 12354–61. http://dx.doi.org/10.1609/aaai.v34i07.6920.
Повний текст джерелаFu, Guangkai, Yiping Cao, Yapin Wang, Yingying Wan, Lu Wang, and Chengmeng Li. "Three-dimensional shape measurement based on binary fringe conventional projection." Transactions of the Institute of Measurement and Control 41, no. 14 (May 17, 2019): 4073–83. http://dx.doi.org/10.1177/0142331219848029.
Повний текст джерелаДисертації з теми "Binary projection"
Landgraf, Andrew J. "Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437610558.
Повний текст джерелаEldredge, Nate. "An Eigenspace Approach to Isotropic Projections for Data on Binary Trees." Scholarship @ Claremont, 2003. https://scholarship.claremont.edu/hmc_theses/146.
Повний текст джерелаWang, Lin. "Binary tomography reconstruction of bone microstructures from a limited number of projections." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI054/document.
Повний текст джерелаDiscrete tomography reconstruction of bone microstructure is important in diagnosis of osteoporosis. One way to reduce the radiation dose and scanning time in CT imaging is to limit the number of projections. This method makes the reconstruction problem highly ill-posed. A common solution is to reconstruct only a finite number of intensity levels. In this work, we investigate only binary tomography reconstruction problem. First, we consider variational regularization methods. Two types of Total Variation (TV) regularization approaches minimized with the Alternate Direction of Minimization Method (ADMM) and two schemes based on Level-set (LS) regularization methods are applied to two experimental bone cross-section images acquired with synchrotron micro-CT. The numerical experiments have shown that good reconstruction results were obtained with TV regularization methods and that level-set regularization outperforms the TV regularization for large bone image with complex structures. Yet, for both methods, some reconstruction errors are still located on the boundaries and some regions are lost when the projection number is low. Local minima were obtained with these deterministic methods. Stochastic perturbations is a useful way to escape the local minima. As a first approach, a stochastic differential equation based on level-set regularization was studied. This method improves the reconstruction results but only modifies the boundaries between the 0 and 1 regions. Then partial stochastic differential equation obtained with the TV regularization semi-norm were studied to improve the stochastic level-set method. The random change of the boundary are performed in a new way with the gradient or wavelet decomposition of the reconstructed image. Random topological changes are included to find the lost regions in the reconstructed images. At the end of our work, we extended the TV regularization method to 3D images with real data on RTK (Reconstruction Toolkit). And we also extended the level-set to the multi-level cases
Huang, Jen-Fa. "On finding generator polynomials and parity-check sums of binary projective geometry codes." Thesis, University of Ottawa (Canada), 1985. http://hdl.handle.net/10393/4800.
Повний текст джерелаHitchcock, Yvonne Roslyn. "Elliptic curve cryptography for lightweight applications." Thesis, Queensland University of Technology, 2003. https://eprints.qut.edu.au/15838/1/Yvonne_Hitchcock_Thesis.pdf.
Повний текст джерелаHitchcock, Yvonne Roslyn. "Elliptic Curve Cryptography for Lightweight Applications." Queensland University of Technology, 2003. http://eprints.qut.edu.au/15838/.
Повний текст джерелаMuzikářová, Zdena. "Binární relace a zobrazení ve výuce matematiky." Master's thesis, 2018. http://www.nusl.cz/ntk/nusl-389633.
Повний текст джерелаLi, Paul. "On the universal embeddings of the binary symplectic and unitary dual polar spaces /." 2001. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3006525.
Повний текст джерелаPai, Srikanth B. "Classical Binary Codes And Subspace Codes in a Lattice Framework." Thesis, 2015. http://etd.iisc.ernet.in/handle/2005/2708.
Повний текст джерелаКниги з теми "Binary projection"
Pagán Cánovas, Cristóbal, and Anna Piata. The Way Time Goes By. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190457747.003.0004.
Повний текст джерелаЧастини книг з теми "Binary projection"
Lékó, Gábor, and Péter Balázs. "Sequential Projection Selection Methods for Binary Tomography." In Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, 70–81. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20805-9_7.
Повний текст джерелаChoi, Yukyung, Chaehoon Park, and In So Kweon. "Accelerated Kmeans Clustering Using Binary Random Projection." In Computer Vision -- ACCV 2014, 257–72. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16808-1_18.
Повний текст джерелаLékó, Gábor, Péter Balázs, and László G. Varga. "Projection Selection for Binary Tomographic Reconstruction Using Global Uncertainty." In Lecture Notes in Computer Science, 3–10. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93000-8_1.
Повний текст джерелаKullmann, Oliver, and Oleg Zaikin. "Projection Heuristics for Binary Branchings Between Sum and Product." In Theory and Applications of Satisfiability Testing – SAT 2021, 299–314. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80223-3_21.
Повний текст джерелаLékó, Gábor, Szilveszter Domány, and Péter Balázs. "Uncertainty Based Adaptive Projection Selection Strategy for Binary Tomographic Reconstruction." In Computer Analysis of Images and Patterns, 74–84. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29891-3_7.
Повний текст джерелаAkcam, Halil, and Volker Lohweg. "Pollen Classification Based on Binary 2D Projections of Pollen Grains." In Technologien für die intelligente Automation, 273–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64283-2_20.
Повний текст джерелаBalázs, Péter, and Kees Joost Batenburg. "A Central Reconstruction Based Strategy for Selecting Projection Angles in Binary Tomography." In Lecture Notes in Computer Science, 382–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31295-3_45.
Повний текст джерелаJin, Quming, Masaya Nakashima, Takeshi Shinohara, Kouichi Hirata, and Tetsuji Kuboyama. "Central Point Selection in Dimension Reduction Projection Simple-Map with Binary Quantization." In New Frontiers in Artificial Intelligence, 310–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48119-6_23.
Повний текст джерелаHantos, Norbert, and Péter Balázs. "A Fast Algorithm for Reconstructing hv-Convex Binary Images from Their Horizontal Projection." In Advances in Visual Computing, 789–98. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14364-4_76.
Повний текст джерелаBräuer-Burchardt, Christian, Peter Kühmstedt, and Gunther Notni. "Combination of Sinusoidal and Single Binary Pattern Projection for Fast 3D Surface Reconstruction." In Lecture Notes in Computer Science, 276–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32717-9_28.
Повний текст джерелаТези доповідей конференцій з теми "Binary projection"
Lo, V. L., and R. P. Millane. "Iterative projection algorithms for reconstructing compact binary images." In Optical Engineering + Applications, edited by Philip J. Bones, Michael A. Fiddy, and Rick P. Millane. SPIE, 2008. http://dx.doi.org/10.1117/12.792947.
Повний текст джерелаJun Cheng, R. Chung, E. Y. Lam, and K. S. M. Fung. "Bit-pairing Codification for Binary Pattern Projection System." In 18th International Conference on Pattern Recognition (ICPR'06). IEEE, 2006. http://dx.doi.org/10.1109/icpr.2006.331.
Повний текст джерелаLi, Shasha, Yukai Tu, Weihong Deng, and Jiwen Lu. "Noise-resistant local binary pattern based on random projection." In 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR). IEEE, 2015. http://dx.doi.org/10.1109/acpr.2015.7486614.
Повний текст джерелаKang, Daesung, Jooyoung Park, and Jose C. Principe. "Binary classification based on SVDD projection and nearest neighbors." In 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, 2010. http://dx.doi.org/10.1109/ijcnn.2010.5596291.
Повний текст джерелаChhaniwal, Vani K., Arun Anand, Sanjay Girhe, N. Subrahmanyam, and C. S. Narayanamurthy. "Diffusion studies of transparent binary liquid solutions using fringe projection." In Optical Metrology, edited by Wolfgang Osten, Malgorzata Kujawinska, and Katherine Creath. SPIE, 2003. http://dx.doi.org/10.1117/12.500265.
Повний текст джерелаXiao, Yi, and Youfu Li. "Binary fringe patterns generation for high-quality digital fringe projection." In 2017 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2017. http://dx.doi.org/10.1109/icma.2017.8015954.
Повний текст джерелаOukili, A., J. C. Nunes, Y. Chen, L. Luo, and C. Toumoulin. "Object-based 3D binary reconstruction from sparse projections in cone beam CT: Comparison of three projection operators." In 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013). IEEE, 2013. http://dx.doi.org/10.1109/isbi.2013.6556764.
Повний текст джерелаLiu, Li, Mengyang Yu, and Ling Shao. "Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes." In 2015 IEEE International Conference on Computer Vision (ICCV). IEEE, 2015. http://dx.doi.org/10.1109/iccv.2015.323.
Повний текст джерелаSong, Zhan, Ronald Chung, Jun Cheng, and Edmund Y. Lam. "Surface orientation recovery of specular micro-surface via binary pattern projection." In Electronic Imaging 2006, edited by Fabrice Meriaudeau and Kurt S. Niel. SPIE, 2006. http://dx.doi.org/10.1117/12.650026.
Повний текст джерелаYe, Zhiqiang, Xueqi Wei, Congzhong Wu, and Fumeng Yang. "Learning binary code via PCA of angle projection for image retrieval." In LIDAR Imaging Detection and Target Recognition 2017, edited by Yueguang Lv, Jianzhong Su, Wei Gong, Jian Yang, Weimin Bao, Weibiao Chen, Zelin Shi, Jindong Fei, Shensheng Han, and Weiqi Jin. SPIE, 2018. http://dx.doi.org/10.1117/12.2296255.
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