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Recognizing Faces Using Kernel Eigenfaces 利用核特征人脸识别人脸
Pub Date : 2008-05-22 DOI: 10.3860/PCJ.V1I1.214
Naval, C. Prospero
In face recognition, Principal Component Analysis (PCA) is often used to extract a low dimensional face representation based on the eigenvector of the face image autocorrelation matrix. Kernel Principal Component Analysis (Kernel PCA) has recently been proposed as a non-linear extension of PCA. While PCA is able to discover and represent linearly embedded manifolds, Kernel PCA can extract low dimensional non-linearly embedded manifolds from data, thus providing a more suitable recognition by a classifier. We provide experimental evidence which show that Kernel PCA performs better than PCA on the ATT Face Dataset when both are used with a lienar Support Vecter Machine Classifier. Philippine Computing Journal 1(1) 2006 27-30
在人脸识别中,基于人脸图像自相关矩阵的特征向量,通常采用主成分分析(PCA)来提取低维的人脸表示。核主成分分析(Kernel Principal Component Analysis, PCA)是近年来提出的一种非线性主成分分析方法。PCA能够发现和表示线性嵌入流形,而核PCA能够从数据中提取低维非线性嵌入流形,从而提供更合适的分类器识别。我们提供的实验证据表明,当核主成分分析与线性支持向量机分类器一起使用时,核主成分分析在ATT人脸数据集上的表现优于主成分分析。菲律宾计算机学报1(1)2006 27-30
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引用次数: 2
Compendium of Abstracts of the 6th Philippine Computing Science Congress (PCSC 2006) 第六届菲律宾计算机科学大会摘要汇编(PCSC 2006)
Pub Date : 2008-05-22 DOI: 10.3860/PCJ.V1I1.221
Rafael P. Saldaña
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引用次数: 0
CluMSy: A Middleware for Cluster Management 笨笨:集群管理的中间件
Pub Date : 2008-05-22 DOI: 10.3860/PCJ.V1I1.202
E. J. Chua, Reynaldo Jose C Camarillo, Frances Ellen O Pe-Aguirre, Jessamyn Y So, Mara Ailiez C Sy, Philip Chan
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引用次数: 2
A Feature Clustering and Multi-Object Alignment Framework for Detailed Vehicle Recognition 车辆细节识别的特征聚类与多目标对齐框架
Pub Date : 2008-05-22 DOI: 10.3860/pcj.v1i1.200
V. Mariano, R. Kasturi
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引用次数: 0
Computer Simulations of Traffic on Road Intersections 十字路口交通的计算机模拟
Pub Date : 2008-05-22 DOI: 10.3860/PCJ.V1I1.211
E. Provido, M. Ramires, Winfer C. Tabares, Rafael P. Saldaña
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引用次数: 1
A Linear Algorithm for Bipartite Drawing with Minimum Edge Crossings of Complete Binary Trees 完全二叉树最小边交叉的线性二部图算法
Pub Date : 2008-05-22 DOI: 10.3860/PCJ.V1I1.196
E. Albacea
In this paper, we present a simple linear algorithm for bipartite drawing with minimum edge crossings of complete binary trees. Also obtained with the drawing algorithm is the formula for computing the bipartite crossing numbers of complete binary trees. Philippine Computing Journal 1(1) 2006 1-5
本文给出了一种简单的二叉树边交最小二部图的线性算法。用绘制算法还得到了完全二叉树的二部交叉数的计算公式。菲律宾计算机学报1(1)2006年1-5
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引用次数: 1
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Philippine Computing Journal
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