Unsupervised group feature selection for media classification

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2192-662X

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Unsupervised group feature selection for media classification ; day:25 ; month:5 ; year:2017 ; pages:1-17
International journal of multimedia information retrieval ; (25.5.2017), 1-17

Classification: Informatik

Creator: Zaharieva, Maia

Contributor: Breiteneder, Christian
Hudec, Marcus
SpringerLink (Online service)

DOI: 10.1007/s13735-017-0126-y

URN: urn:nbn:de:1111-201706082665

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:37 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Zaharieva, Maia
Breiteneder, Christian
Hudec, Marcus
SpringerLink (Online service)

Other Objects (12)

Completed sample correlations and feature dependency-based unsupervised feature selection

Unsupervised encoding selection through ensemble pruning for biomedical classification

Using the Kriging Correlation for unsupervised feature selection problems

A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection

VIRTUAL DIMENSIONALITY ESTIMATION IN HYPERSPECTRAL IMAGERY BASED ON UNSUPERVISED FEATURE SELECTION

Fault detection and classification by unsupervised feature extraction and dimensionality reduction

Supervised Vessels Classification Based on Feature Selection

Unsupervised feature extraction of anterior chamber OCT images for ordering and classification

EFS-MI: an ensemble feature selection method for classification : An ensemble feature selection method

Interpretable and unsupervised phase classification

Classification, regression, and feature selection on matrix data

The nai͏̈ve Bayes model for unsupervised word sense disambiguation : aspects concerning feature selection

Completed sample correlations and feature dependency-based unsupervised feature selection

Unsupervised encoding selection through ensemble pruning for biomedical classification

Using the Kriging Correlation for unsupervised feature selection problems

A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection

VIRTUAL DIMENSIONALITY ESTIMATION IN HYPERSPECTRAL IMAGERY BASED ON UNSUPERVISED FEATURE SELECTION

Fault detection and classification by unsupervised feature extraction and dimensionality reduction

Supervised Vessels Classification Based on Feature Selection

Unsupervised feature extraction of anterior chamber OCT images for ordering and classification

EFS-MI: an ensemble feature selection method for classification : An ensemble feature selection method

Interpretable and unsupervised phase classification

Classification, regression, and feature selection on matrix data

The nai͏̈ve Bayes model for unsupervised word sense disambiguation : aspects concerning feature selection

Completed sample correlations and feature dependency-based unsupervised feature selection

Unsupervised encoding selection through ensemble pruning for biomedical classification

Using the Kriging Correlation for unsupervised feature selection problems

A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection

VIRTUAL DIMENSIONALITY ESTIMATION IN HYPERSPECTRAL IMAGERY BASED ON UNSUPERVISED FEATURE SELECTION

Fault detection and classification by unsupervised feature extraction and dimensionality reduction

Supervised Vessels Classification Based on Feature Selection

Unsupervised feature extraction of anterior chamber OCT images for ordering and classification

EFS-MI: an ensemble feature selection method for classification : An ensemble feature selection method

Interpretable and unsupervised phase classification

Classification, regression, and feature selection on matrix data

The nai͏̈ve Bayes model for unsupervised word sense disambiguation : aspects concerning feature selection

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Unsupervised group feature selection for media classification

Object Details

References and Relationships

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Completed sample correlations and feature dependency-based unsupervised feature selection

Unsupervised encoding selection through ensemble pruning for biomedical classification

Using the Kriging Correlation for unsupervised feature selection problems

A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection

VIRTUAL DIMENSIONALITY ESTIMATION IN HYPERSPECTRAL IMAGERY BASED ON UNSUPERVISED FEATURE SELECTION

Fault detection and classification by unsupervised feature extraction and dimensionality reduction

Supervised Vessels Classification Based on Feature Selection

Unsupervised feature extraction of anterior chamber OCT images for ordering and classification

EFS-MI: an ensemble feature selection method for classification : An ensemble feature selection method

Interpretable and unsupervised phase classification

Classification, regression, and feature selection on matrix data

The nai͏̈ve Bayes model for unsupervised word sense disambiguation : aspects concerning feature selection

Completed sample correlations and feature dependency-based unsupervised feature selection

Unsupervised encoding selection through ensemble pruning for biomedical classification

Using the Kriging Correlation for unsupervised feature selection problems

A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection

VIRTUAL DIMENSIONALITY ESTIMATION IN HYPERSPECTRAL IMAGERY BASED ON UNSUPERVISED FEATURE SELECTION

Fault detection and classification by unsupervised feature extraction and dimensionality reduction

Supervised Vessels Classification Based on Feature Selection

Unsupervised feature extraction of anterior chamber OCT images for ordering and classification

EFS-MI: an ensemble feature selection method for classification : An ensemble feature selection method

Interpretable and unsupervised phase classification

Classification, regression, and feature selection on matrix data

The nai͏̈ve Bayes model for unsupervised word sense disambiguation : aspects concerning feature selection

Completed sample correlations and feature dependency-based unsupervised feature selection

Unsupervised encoding selection through ensemble pruning for biomedical classification

Using the Kriging Correlation for unsupervised feature selection problems

A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection

VIRTUAL DIMENSIONALITY ESTIMATION IN HYPERSPECTRAL IMAGERY BASED ON UNSUPERVISED FEATURE SELECTION

Fault detection and classification by unsupervised feature extraction and dimensionality reduction

Supervised Vessels Classification Based on Feature Selection

Unsupervised feature extraction of anterior chamber OCT images for ordering and classification

EFS-MI: an ensemble feature selection method for classification : An ensemble feature selection method

Interpretable and unsupervised phase classification

Classification, regression, and feature selection on matrix data

The nai͏̈ve Bayes model for unsupervised word sense disambiguation : aspects concerning feature selection

Related objects

Reset password