.png){kind=icon}
返回
Principal Composite Kernel Feature Analysis: Data-Dependent Kernel Approach
.png){kind=icon}
PRE
AI
DOI：10.1109/TKDE.2012.110.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Principal composite kernel feature analysis (PC-KFA) is presented to show kernel adaptations for nonlinear features of medical image data sets (MIDS) in computer-aided diagnosis (CAD). The proposed algorithm PC-KFA has extended the existing studies on kernel feature analysis (KFA), which extracts salient features from a sample of unclassified patterns by use of a kernel method. The principal composite process for PC-KFA herein has been applied to kernel principal component analysis [34] and to our previously developed accelerated kernel feature analysis [20]. Unlike other kernel-based feature selection algorithms, PC-KFA iteratively constructs a linear subspace of a high-dimensional feature space by maximizing a variance condition for the nonlinearly transformed samples, which we call data-dependent kernel approach. The resulting kernel subspace can be first chosen by principal component analysis, and then be processed for composite kernel subspace through the efficient combination representations used for further reconstruction and classification. Numerical experiments based on several MID feature spaces of cancer CAD data have shown that PC-KFA generates efficient and an effective feature representation, and has yielded a better classification performance for the proposed composite kernel subspace using a simple pattern classifier.
Keyword:
Principal component analysis
data-dependent kernel
nonlinear subspace
manifold structures
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
10.4
论文数:
6.8K
被引数:
3.2W
机构
引用论文
Cluster Kernels: Resource-aware kernel density estimators over streaming data集群内核: 流数据上的资源感知内核密度估计器
PREAI
分享收藏Gene expression profiles of prostate cancer reveal involvement of multiple molecular pathways in the metastatic process.png)
BMC CANCER
OAAI
BMC CANCERIF3.4
OAAI分享收藏Conceiving and Negotiating Reproductive Relationships: Lesbians and Gay Men Forming Families with ChildrenSociology
SociologyIF0
PREAI
分享收藏Support vector machines committee classification method for computer-aided polyp detection in CT colonographyACADEMIC RADIOLOGY
ACADEMIC RADIOLOGYIF3.9
PREAI
分享收藏
查看更多内容