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A Unified Factors Analysis Framework for Discriminative Feature Extraction and Object Recognition
المؤلفون المشاركون
Hao, Ningbo
Yang, Jie
Liao, Haibin
Dai, Wenhua
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-04-26
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Various methods for feature extraction and dimensionality reduction have been proposed in recent decades, including supervised and unsupervised methods and linear and nonlinear methods.
Despite the different motivations of these methods, we present in this paper a general formulation known as factor analysis to unify them within a common framework.
During factor analysis, an object can be seen as being comprised of content and style factors, and the objective of feature extraction and dimensionality reduction is to obtain the content factor without style factor.
There are two vital steps in factor analysis framework; one is the design of factor separating objective function, including the design of partition and weight matrix, and the other is the design of space mapping function.
In this paper, classical Linear Discriminant Analysis (LDA) and Locality Preserving Projection (LPP) algorithms are improved based on factor analysis framework, and LDA based on factor analysis (FA-LDA) and LPP based on factor analysis (FA-LPP) are proposed.
Experimental results show the superiority of our proposed approach in classification performance compared to classical LDA and LPP algorithms.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hao, Ningbo& Yang, Jie& Liao, Haibin& Dai, Wenhua. 2016. A Unified Factors Analysis Framework for Discriminative Feature Extraction and Object Recognition. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1112855
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hao, Ningbo…[et al.]. A Unified Factors Analysis Framework for Discriminative Feature Extraction and Object Recognition. Mathematical Problems in Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1112855
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hao, Ningbo& Yang, Jie& Liao, Haibin& Dai, Wenhua. A Unified Factors Analysis Framework for Discriminative Feature Extraction and Object Recognition. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1112855
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1112855
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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