Filtry
On Bayesian Principal Component Analysis
A complete Bayesian framework for principal component analysis (PCA) is proposed. Previous model-based approaches to PCA were often based upon a factor analysis model with isotropic Gaussian noise...
BC - Teorie a systémy řízení
- 2007 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Chemical Sensors VI
This article depicts some methoda of pattern recognition suitable for analysis of multivariate data supplied by sensor fields. The following algorithms are mentioned: Linear discriminat analysis (LDA), principal compone...
CG - Elektrochemie
- 2003 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Polycyclic aromatic compounds (PAH) in the environment as a traffic impact. Evaluation of sampling points by PCA (Principal Component Analysis)
The concentration of PAHs was measured on the three selected routes in the Czech republic and obtained data were evaluated by PCA (Principal Component Analysis)....
DI - Znečištění a kontrola vzduchu
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
Principal Components Analysis in Signal Processing
Principal component analysis designates a mathematical procedure that transfors theoretically a number of possibly correlated random variables into the same or a smaller number of uncorrelated variables components....
JB - Senzory, čidla, měření a regulace
- 2009 •
- D
Rok uplatnění
D - Stať ve sborníku
Principal Component Analysis in Image Processing
Principal component analysis (PCA) is one of the statistical techniques decorrelation. Presented paper deals with two distinct applications of PCA in image colour components are reduced into one c...
JD - Využití počítačů, robotika a její aplikace
- 2005 •
- O
Rok uplatnění
O - Ostatní výsledky
Principal Component Analysis in Image Processing
Principal component analysis (PCA) is one of the statistical techniques decorrelation. Presented paper deals with two distinct applications of PCA in image colour components are reduced into one c...
JD - Využití počítačů, robotika a její aplikace
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
Face recognition by means of new algorithms
This contribution describes new methods of face recognition. The methods Principal Component Analysis (PCA) and Evolutionary Principal Component Analysis (EPCA neural network training in ...
IN - Informatika
- 2011 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
FACE RECOGNITION BY MEANS OF NEW ALGORITHMS
This contribution describes new methods of face recognition. The methods Principal Component Analysis (PCA) and Evolutionary Principal Component Analysis (EPCA neural network training in ...
JD - Využití počítačů, robotika a její aplikace
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Principal component analysis for SIFT-MS
A basic method in multivariate analysis is Principal Component Analysis (PCA variables into a smaller number of uncorrelated variables called principal components. The firstprincipal ...
CF - Fyzikální chemie a teoretická chemie
- 2009 •
- R
Rok uplatnění
R - Software
On prior information in principal component analysis.
Principal component analysis is well developed and understood method of multivariate data processing. Performance of PCA depends on the amount and characteristics of the noise in the observed data. In this paper we...
BB - Aplikovaná statistika, operační výzkum
- 2001 •
- D
Rok uplatnění
D - Stať ve sborníku
- 1 - 10 z 239 845