Dimensionality Reduction by Supervised Neighbor Embedding Using Laplacian Search
المؤلفون المشاركون
Wang, Wanliang
Zheng, Jianwei
Cattani, Carlo
Zhang, Hangke
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-05-21
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Dimensionality reduction is an important issue for numerous applications including biomedical images analysis and living system analysis.
Neighbor embedding, those representing the global and local structure as well as dealing with multiple manifolds, such as the elastic embedding techniques, can go beyond traditional dimensionality reduction methods and find better optima.
Nevertheless, existing neighbor embedding algorithms can not be directly applied in classification as suffering from several problems: (1) high computational complexity, (2) nonparametric mappings, and (3) lack of class labels information.
We propose a supervised neighbor embedding called discriminative elastic embedding (DEE) which integrates linear projection matrix and class labels into the final objective function.
In addition, we present the Laplacian search direction for fast convergence.
DEE is evaluated in three aspects: embedding visualization, training efficiency, and classification performance.
Experimental results on several benchmark databases present that the proposed DEE exhibits a supervised dimensionality reduction approach which not only has strong pattern revealing capability, but also brings computational advantages over standard gradient based methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zheng, Jianwei& Zhang, Hangke& Cattani, Carlo& Wang, Wanliang. 2014. Dimensionality Reduction by Supervised Neighbor Embedding Using Laplacian Search. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-483626
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zheng, Jianwei…[et al.]. Dimensionality Reduction by Supervised Neighbor Embedding Using Laplacian Search. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-483626
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zheng, Jianwei& Zhang, Hangke& Cattani, Carlo& Wang, Wanliang. Dimensionality Reduction by Supervised Neighbor Embedding Using Laplacian Search. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-483626
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-483626
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر