PRINCIPAL
共 34 篇文章
PRINCIPAL 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 34 篇文章，持续更新中。
算法的matlab程序
成分分析（PCA)算法是用于简化数据的一种技术,对于某些复杂数据就可应用主成分分析法对其进行简化。-principal component analysis (PCA) algorithm is used to simplify the technology of data, For some complex data can be applied Principal Component Anal
固定的EMI全线
By Sanjaya Maniktala, Principal Engineer, Power Management Group<BR>An ounce (okay 2 ounces!) of pre
Digital.Image.Processing.
This edition of Digital Image Processing is a major revision of the book. As in<br />
the 1977 and 1987 editions by Gonzalez and Wintz, and the 1992, 2002, and 2008<br />
editions by Gonzalez and Wood
Download Execute, principal and executable
Download Execute, principal and executable
FACE RECOGNITION USING PRINCIPAL COMPONENTS ANALYSIS task. To this package four options
FACE RECOGNITION
USING
PRINCIPAL
COMPONENTS
ANALYSIS
task. To this package four options for the algorithms, the
LVQ1, the LVQ2.1, the LVQ3 and the OLVQ1, have been selected.
principal component matlab code.
principal component matlab code.
Fortran has always been the principal language used in the fields of scientific, numerical, and en
Fortran has always been the principal language used in the fields of scientific,
numerical, and engineering programming, and a series of revisions to the standard
defining successive versions of t
Robust principal component analysis for non-centered data
Robust principal component analysis for non-centered data
人脸识别matlab程序 with a principal components analysis for a set of face images as the theme
人脸识别matlab程序
with a principal components analysis for a set of face images as the theme
This paper provides a rigorous comprehensive approach to the design of the principal software algor
This paper provides a rigorous comprehensive approach to the design of the principal software
algorithmsutilized inmodern-day strapdown inertial navigationsystems: integration of angular rate into at
又一种增量人脸学习算法——参考文献“Candid Covariance-Free Incremental Principal Component Analysis.”
又一种增量人脸学习算法——参考文献“Candid Covariance-Free Incremental Principal Component Analysis.”
The production of this book required the efforts of many people, but two in particular deserve to be
The production of this book required the efforts of many people, but two in particular deserve to be singled out for their diligent, sustained, and unselfish efforts. Sally Stickney, the book s princi
Negative principal refractive indices and accidental isotropy in two-dimensional photonic crystals
Negative principal refractive indices and accidental isotropy in two-dimensional photonic crystals
with an asymmetrical unit ce
PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with gray
PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to prepro
PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with gray
PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to prepro
PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with gr
PCA人脸识别
This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to prep
Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the princ
Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal
％ component subspace U of dimension PPCA_DIM using a centred covariance
matrix X. The variabl
A Tutorial on Principal Component Analysis.Principal component analysis (PCA) is a mainstay of moder
A Tutorial on Principal Component Analysis.Principal component analysis (PCA) is a mainstay of modern data analysis - a black box that
is widely used but poorly understood. The goal of this paper is
In the field of biometrics, palmprint is a novel but promising technology. Limited work has been rep
In the field of biometrics, palmprint is a novel but promising technology. Limited work has been reported on palmprint identification and verification, despite the importance of palmprint features. Th
PCA and PLS aims:to get some insight into the bilinear factor models Principal Component Analysis
PCA and PLS aims:to get some
insight into the bilinear factor models Principal Component Analysis
(PCA) and Partial Least Squares (PLS) regression, focusing on the
mathematics and numerical aspects