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This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transfo
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for components in principal component analysis
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pdf for fingerprint from ieee include:
PIPELINED MINUTIAE EXTRACTION FROM FINGERPRINT IMAGES
A Novel Principal Component Analysis Neural Network Algorithm for Fingerprint Recognition
in Online Examination System
Processing of Distorted Finger
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基于主成分分析的武汉市经济社会发展综合评价研究-Principal Component Analysis of Wuhan' s economic and social development of a comprehensive evaluation of
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Support vector regression has been proposed in a number of image processing tasks including blind
image deconvolution, image denoising and single frame super-resolution. As for other machine learning
methods, the training is slow. In this paper,
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稀疏的主成分分析基本概念，很好地学习这方面基本知识的材料-sparse Principal component analysis basic concepts, a good basic knowledge of learning materials in this regard
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稀疏主成分分析用于脸部检测和识别的基础知识介绍。初学者很专业的入门材料。-Sparse principal component analysis for face detection and identification of the basics of introduction. Introductory material for beginners very professional.
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The key concept in principal component analysis (PCA) is to reduce a high dimensional data volume into a lower dimensional space, where the low dimensional data con-tams most of the useful information/variance contained in the original data set. The
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multibase software is package windows that use for statistical problem like principal component analysis, etc
-multibase software is package windows that use for statistical problem like principal component analysis, etc
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Multi-harmonic active structural acoustic control of a helicopter main transmission noise using the principal component analysis
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