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Star-galaxy multi narrow-band classification
Classification of stars and galaxies is a well-known astronomical problem that has been treated using different approaches, most of them relying on morphological information. In... -
N-band imaging of the Galactic Center
We present mid-infrared N- and Q-band photometry of the Galactic center from images obtained with the mid-infrared camera VISIR at the ESO VLT in 2004 May. The high resolution... -
Photoelectric types of bright galaxies
The photoelectric total magnitudes and color indices published in the Third Reference Catalogue of Bright Galaxies (RC3, Cat. ) are based on an analysis of ~26000 B, 25000 B-V,... -
Galaxy subtypes in the VIPERS survey
This study aims to explore the relation between the physical properties of different galaxy subclasses, from red passive to blue star-forming, and their environment. Our work is... -
YSO candidate catalog from ANN
Observed young stellar objects (YSOs) are used to study star formation and characterize star-forming regions. For this purpose, YSO candidate catalogs are compiled from various... -
L- & M-band imaging of the Galactic Center
Photometric data of the sources detected in NAOS/CONICA H- and K-band (1.6 and 2.1{mu}m) and ISAAC L- and M-band (3.8 and 4.7{mu}m) images of the Galactic Center, obtained in... -
2-D Classification, Vilnius Photometry M56 Region
This catalogue gives the seven-color photometry in the Vilnius system stars and two-dimensional classification of 752 stars. Photographically determined magnitudes obtained by... -
PitVis-2023 Challenge: Endoscopic Pituitary Surgery videos
The first public dataset containing both step and instrument annotations of the endoscopic TransSphenoidal Approach (eTSA). The dataset includes 25-videos... -
Classification Endmember Selection with Multi-Temporal Hyperspectral Data
In hyperspectral image classification, so-called spectral endmembers are used as reference data. These endmembers are either extracted from an image or taken from another... -
Developing a rule-based method for identifying researchers on Twitter: The ca...
This study seeks to develop a method for identifying the occurrences and proportions of researchers, media and other professionals active in Twitter discussions. As a case... -
Developing a rule-based method for identifying researchers on Twitter: The ca...
This study seeks to develop a method for identifying the occurrences and proportions of researchers, media and other professionals active in Twitter discussions. As a case... -
Genre-sensitive Neural Situation Entity classifier (DE, EN)
This is a Classifier for situation entity types as described in Becker et al., 2017. These clause types depend on a combination of syntactic-semantic and contextual features. We... -
EmbryoNet_Mutant-Inhibitor-Antagonist-Comparison
This file contains microscopy data for an experiment that compares Nodal and BMP phenotypes, achieved by either chemical pathway inhibition, overexpression of pathway... -
Cinderella - tool for Clustering and Classifications of Texts in Polish
System for clustering and classifications of Texts in Polish. Source code. -
piSVM1.2.1 Analytics Training (10x-CV optimized) Indian Pines Images Processe...
piSVM version 1.2.1 Deployment JUDGE cluster of the Juelich Supercomputing Centre in Germany Parallel Support Vector Machine (SVM) classification runs to analyse remote sensing... -
piSVM1.2.1 Analytics Training Indian Pines Images Raw 200 Features 52 Classes
piSVM version 1.2.1 Deployment JUDGE cluster of the Juelich Supercomputing Centre in Germany Parallel Support Vector Machine (SVM) classification runs to analyse remote... -
piSVM1.2.1 Analytics Training Indian Pines Images Processed 30 Features 52 Cl...
piSVM version 1.2.1 Deployment JUDGE cluster of the Juelich Supercomputing Centre in Germany Parallel Support Vector Machine (SVM) classification runs to analyse remote sensing... -
piSVM1.2.1 Analytics Training (10x-CV optimized) Indian Pines Images Raw 200 ...
piSVM version 1.2.1 Deployment JUDGE cluster of the Juelich Supercomputing Centre in Germany Parallel Support Vector Machine (SVM) classification runs to analyse remote sensing... -
Berlin-Urban-Gradient dataset 2009 - An EnMAP Preparatory Flight Campaign (Da...
Berlin-Urban-Gradient is a ready-to-use imaging spectrometry dataset for multi-scale unmixing and hard classification analyses in urban environments. The dataset comprises two... -
Berlin-Urban-Gradient dataset 2009 - An EnMAP Preparatory Flight Campaign (Da...
Berlin-Urban-Gradient is a ready-to-use imaging spectrometry dataset for multi-scale unmixing and hard classification analyses in urban environments. The dataset comprises two...