Application of the Karhunen-Loeve procedure for the characterization of human faces
M Kirby, L Sirovich - IEEE Transactions on Pattern analysis and …, 1990 - ieeexplore.ieee.org
The use of natural symmetries (mirror images) in a well-defined family of patterns (human
faces) is discussed within the framework of the Karhunen-Loeve expansion. This results in an …
faces) is discussed within the framework of the Karhunen-Loeve expansion. This results in an …
The distributed karhunen–loeve transform
The Karhunen-Loeve transform (KLT) is a key element of many signal processing and
communication tasks. Many recent applications involve distributed signal processing, where it is …
communication tasks. Many recent applications involve distributed signal processing, where it is …
Sequential Karhunen-Loeve basis extraction and its application to images
A Levy, M Lindenbaum - … on Image Processing. ICIP98 (Cat. No …, 1998 - ieeexplore.ieee.org
The Karhunen-Loeve (KL) transform is an optimal method for approximating a set of vectors,
which was used in image processing and computer vision for several tasks. Its …
which was used in image processing and computer vision for several tasks. Its …
[PDF][PDF] Karhunen-loeve transform
R Dony - The transform and data compression handbook, 2001 - dsp-book.narod.ru
The goal of image compression is to store an image in a more compact form, ie, a representation
that requires fewer bits for encoding than the original image. This is possible for images …
that requires fewer bits for encoding than the original image. This is possible for images …
Generalized karhunen-loeve transform
We present a novel generic tool for data compression and filtering: the generalized
Karhunen-Loeve (GKL) transform. The GKL transform minimizes a distance between any given …
Karhunen-Loeve (GKL) transform. The GKL transform minimizes a distance between any given …
Application of the Karhunen-Loeve expansion to feature selection and ordering
K Fukunaga, WLG Koontz - IEEE Transactions on computers, 1970 - ieeexplore.ieee.org
The Karhunen-Lo6ve expansion has been used previously to extract important features for
representing samples taken from a given distribution. A method is developed herein to use …
representing samples taken from a given distribution. A method is developed herein to use …
A fast Karhunen-Loeve transform for a class of random processes
AK Jain - IEEE Transactions on Communications, 1976 - ieeexplore.ieee.org
… -The Karhunen-Loeve transform for a class of signals is proven to be a set of periodic sine
functions and this Karhunen-… Watanabe, “Karhunen-Loeve expansion and factor analysis, …
functions and this Karhunen-… Watanabe, “Karhunen-Loeve expansion and factor analysis, …
Karhunen–Loeve procedure for gappy data
R Everson, L Sirovich - JOSA A, 1995 - opg.optica.org
The problem of using the Karhunen–Loève transform with partial data is addressed. Given a
set of empirical eigenfunctions, we show how to recover the modal coefficients for each …
set of empirical eigenfunctions, we show how to recover the modal coefficients for each …
[BOOK][B] Karhunen-Loeve expansions and their applications
L Wang - 2008 - search.proquest.com
… In the field of stochastic process, the Karhunen-Loeve … Karhunen-Loeve expansion to some
fields of statistics. The first two chapters review the theoretical background of the Karhunen-…
fields of statistics. The first two chapters review the theoretical background of the Karhunen-…
Simulation of second-order processes using Karhunen–Loeve expansion
A unified and practical framework is developed for generating second-order stationary and
non-stationary, Gaussian and non-Gaussian processes with a specified marginal distribution …
non-stationary, Gaussian and non-Gaussian processes with a specified marginal distribution …