سایپرز، باشگاه دانش - ارائه دهنده مقالات ژورنالهای خارجی

اطلاعات و مشخصات مقاله

[ 124 | جستجو | فهرست کلمات کلیدی | فهرست موضوعات | فهرست نویسندگان | فهرست ناشران | فهرست ژورنالها ]


عنوان مقاله:نظارت کاهش غیر خطی ابعاد برای تجسم و طبقه بندی
ناشر: [ Institute Of Electrical & Electronics Engineers (IEEE) ]
ژورنال
دوره (شماره):35 (6)
سال انتشار:December 2005
شماره صفحات: 109811071098-1107
نشانگر دیجیتالی شیء:[ 10.1109/tsmcb.2005.850151 ]
شما اینجا هستید:
  1. Scipers, the Knowledge ClubScipers »
  2. Institute Of Electrical & Electronics Engineers (IEEE) »
  3. IEEE Trans. Syst., Man, Cybern. B »
  4. Supervised Nonlinear Dimensionality Reduction for Visualization and Classification

دسترسی بین المللی

اگر شما در داخل کشور (ایران) هستید و این صفحه را مشاهده می کنید، نشان می دهد که IP شما به هر دلیلی در لیست IP های ایران ثبت نشده است. برای رفع این مشکل کافی است IP خود را که در پایین این پیام درج شده از طریق آدرس ایمیل support@scipers.com به ما اطلاع دهید. پس از دریافت درخواست، کارشناسان فنی موضوع را بررسی می نمایند و در صورتی که محل اتصال شما از کشور ایران بوده باشد، به لیست استفاده کنندگان مجاز افزوده می شوید.
IP: 54.174.51.80

اطلاعات استنادی

اطلاعات استنادی این مقاله را به نرم افزارهای مدیریت اطلاعات علمی و استنادی ارسال نمایید و در تحقیقات خود از آن استفاده نمایید.

 

به اشتراک گذاری

این صفحه را با استفاده از انواع شبکه های اجتماعی با دوستان خود به اشتراک بگذارید.

خلاصه مقاله، نویسندگان و کلمات کلیدی

Supervised Nonlinear Dimensionality Reduction For Visualization And Classification


مقاله: نظارت کاهش غیر خطی ابعاد برای تجسم و طبقه بندی

نويسند‌گان:


موضوعات:

Electrical and Electronic Engineering, Computer Science Applications, Human-Computer Interaction, Information Systems, Software, Control and Systems Engineering



[ ]

فهرست مقالات مرتبط و مشابه

  1. Kim, Kyoungok, Lee, Jaewook (2014) 'Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction', Pattern Recognition, Elsevier BV, pp:758-768
  2. Kim, Kyoungok, Lee, Jaewook (2014) 'Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction', Pattern Recognition, Elsevier BV, pp:758-768
  3. Schulz, Alexander, Gisbrecht, Andrej, Hammer, Barbara (2013) 'Using Nonlinear Dimensionality Reduction to Visualize Classifiers', Advances in Computational Intelligence, Springer Nature, pp:59-68
  4. Verleysen, Michel, Lee, John A. (2013) 'Nonlinear Dimensionality Reduction for Visualization', Neural Information Processing, Springer Nature, pp:617-622
  5. Zheng, Kai-mei, Qian, Xu, An, Na (2010) 'Supervised Non-Linear Dimensionality Reduction Techniques for Classification in Intrusion Detection', 2010 International Conference on Artificial Intelligence and Computational Intelligence, Institute of Electrical and Electronics Engineers (IEEE), pp:0-0
  6. , (2010) 'Sparse supervised dimension reduction in high dimensional classification', Electron. J. Statist., Institute of Mathematical Statistics, pp:914-931
  7. Wang, Yunhai, Feng, Kang, Chu, Xiaowei, Zhang, Jian, Fu, Chi-Wing, Sedlmair, Michael, Yu, Xiaohui, Chen, Baoquan (2018) 'A Perception-Driven Approach to Supervised Dimensionality Reduction for Visualization', IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers (IEEE), pp:-
  8. Grabocka, Josif, Drumond, Lucas, Schmidt-Thieme, Lars (2013) 'Supervised Dimensionality Reduction via Nonlinear Target Estimation', Data Warehousing and Knowledge Discovery, Springer Berlin Heidelberg, pp:172-183
  9. Gönen, Mehmet (2014) 'Coupled dimensionality reduction and classification for supervised and semi-supervised multilabel learning', Pattern Recognition Letters, Elsevier BV, pp:132-141
  10. Zhang, Zhao, Chow, Tommy W.S., Zhao, Mingbo (2013) 'Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization', IEEE Trans. Knowl. Data Eng., Institute of Electrical & Electronics Engineers (IEEE), pp:1148-1161

 

فهرست ارجاعات به این مقاله


  1. Guangnian, Xiao (November 2015) 'Travel mode detection based on GPS track data and Bayesian networks', Computers, Environment and Urban Systems, Elsevier BV - DOI: 10.1016/j.compenvurbsys.2015.05.005
  2. Claudia, Houben (August 2015) 'Automatic discovery and optimization of chemical processes', Current Opinion in Chemical Engineering, Elsevier BV - DOI: 10.1016/j.coche.2015.07.001
  3. Chuanlei, Zhang (1 June 2013) 'A supervised orthogonal discriminant projection for tumor classification using gene expression data', Computers in Biology and Medicine, Elsevier BV - DOI: 10.1016/j.compbiomed.2013.01.019
  4. Abdollah, Nazarpour (May 2015) 'Two-stage multiple kernel learning for supervised dimensionality reduction', Pattern Recognition, Elsevier BV - DOI: 10.1016/j.patcog.2014.12.001
  5. Zhe, Wang (October–November 2011) 'A novel multi-view learning developed from single-view patterns', Pattern Recognition, Elsevier BV - DOI: 10.1016/j.patcog.2011.04.002
  6. Rafael Messias, Martins (June 2014) 'Visual analysis of dimensionality reduction quality for parameterized projections', Computers & Graphics, Elsevier BV - DOI: 10.1016/j.cag.2014.01.006
  7. Carlotta, Orsenigo (July 2012) 'Kernel ridge regression for out-of-sample mapping in supervised manifold learning', Expert Systems with Applications, Elsevier BV - DOI: 10.1016/j.eswa.2012.01.060
  8. Ali-Akbar, Samadani (1 November 2013) 'Discriminative functional analysis of human movements', Pattern Recognition Letters, Elsevier BV - DOI: 10.1016/j.patrec.2012.12.018
  9. Flora S., Tsai (March 2011) 'Dimensionality reduction techniques for blog visualization', Expert Systems with Applications, Elsevier BV - DOI: 10.1016/j.eswa.2010.08.067
  10. Flora S., Tsai (1 February 2012) 'A visualization metric for dimensionality reduction', Expert Systems with Applications, Elsevier BV - DOI: 10.1016/j.eswa.2011.08.080
  11. Cong, Wang (June 2015) 'Non-negative EMD manifold for feature extraction in machinery fault diagnosis', Measurement, Elsevier BV - DOI: 10.1016/j.measurement.2015.04.006
  12. Feng, Zheng (1 March 2013) 'A semi-supervised approach for dimensionality reduction with distributional similarity', Neurocomputing, Elsevier BV - DOI: 10.1016/j.neucom.2012.09.023
  13. Andrej Gisbrecht (February 2015) 'Data visualization by nonlinear dimensionality reduction', WIREs Data Mining Knowl Discov, Wiley-Blackwell - DOI: 10.1002/widm.1147
  14. Jiao Shi (November 2015) 'An interval type-2 fuzzy active contour model for auroral oval segmentation', Soft Comput, Springer Science + Business Media - DOI: 10.1007/s00500-015-1943-7
  15. Nicolás García-Pedrajas (October 2012) 'Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections', Prog Artif Intell, Springer Science + Business Media - DOI: 10.1007/s13748-012-0028-4
  16. Wei-Ting Yao (May 2012) 'Isometric sliced inverse regression for nonlinear manifold learning', Statistics and Computing, Springer Science + Business Media - DOI: 10.1007/s11222-012-9330-z
  17. Zhihui Lai (April 2011) 'Locality preserving embedding for face and handwriting digital recognition', Neural Comput & Applic, Springer Science + Business Media - DOI: 10.1007/s00521-011-0577-7
  18. Yangyang Li (February 2013) 'Kernel clustering using a hybrid memetic algorithm', Natural Computing, Springer Science + Business Media - DOI: 10.1007/s11047-013-9365-x
  19. Mohammad Ali Zare Chahooki (January 2012) 'Learning the shape manifold to improve object recognition', Machine Vision and Applications, Springer Science + Business Media - DOI: 10.1007/s00138-011-0400-6
  20. Honggang Zhang (August 2009) 'Locality preserving and global discriminant projection with prior information', Machine Vision and Applications, Springer Science + Business Media - DOI: 10.1007/s00138-009-0213-z
  21. Mohammad Ali Zare Chahooki (April 2014) 'Unsupervised manifold learning based on multiple feature spaces', Machine Vision and Applications, Springer Science + Business Media - DOI: 10.1007/s00138-014-0604-7
  22. Sebastián Maldonado (February 2016) 'A second-order cone programming formulation for twin support vector machines', Applied Intelligence, Springer Science + Business Media - DOI: 10.1007/s10489-016-0764-4
  23. Si-yuan Wu (February 2012) 'Tensorized Feature Extraction Technique for Multimodality Preserving Manifold Visualization', Journal of Mathematical Imaging and Vision, Springer Science + Business Media - DOI: 10.1007/s10851-012-0327-1

 

برگشت به بالا
× 🎁 تخفیف ویژه تابستان ☀️
رونمایی از اولین و تنها ربات تلگرامی جستجوی مقالات ژورنالی
×