Information Processing - Feature Extractions for Small Sample Size Classification Problem: Fid-Bau Portal

Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

Information Processing - Feature Extractions for Small Sample Size Classification Problem

Kuo, B.-C.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Information Processing - Feature Extractions for Small Sample Size Classification Problem

Kuo, B.-C.

Information Processing - Feature Extractions for Small Sample Size Classification Problem

Kuo, B.-C.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Document information

Title:

Information Processing - Feature Extractions for Small Sample Size Classification Problem

Contributors:

Kuo, B.-C. (author) / Chang, K.-Y.

Published in:

IEEE transactions on geoscience and remote sensing ; 45

Publication date:

2007

ISSN:

Type of media:

Article (Journal)

Type of material:

Print

Language:

Unknown

Keywords:

Fernerkundung , Zeitschrift , Messtechnik , Elektronik , Geowissenschaften

Classification:

Local classification TIB: 770/3710/5670
BKL: 74.41 / 38.03 Methoden und Techniken der Geowissenschaften / 74.41 Luftaufnahmen, Photogrammetrie / 38.03

Similar titles

PAPERS - Classification and Hyperspectral Analysis - A Covariance Estimator for Small Sample Size Classification Problems and Its Application to Feature Extraction

Kuo, B.-C. | Online Contents | 2002

Information Processing - Nonparametric Weighted Feature Extraction for Classification

Kuo, B.-C. | Online Contents | 2004

Further Consideration of Sample and Feature Size

I. T. Young | NTIS | 1978

Smart Dam: Upstream Sensing, Hydro-Blockchain, and Flood Feature Extractions for Dam Inflow Prediction

Yasuno, Takato / Ishii, Akira / Amakata, Masazumi et al. | Springer Verlag | 2020

On a solution for the high-dimensionality-small-sample- size regression problem with several different microarrays

Nikulin, Vladimir | British Library Online Contents | 2014