239 datasets found

The data set contains the supplementary material to support the paper: Machine learning based classification of vector field configurations. The dataset contains simulation...

This data set contains implementation code and examples for the methodology described in the research article with the title "A Fuzzy Classification Framework to Identify...

Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset. For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC

Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the Cambridge Landmarks dataset. We also provide...

Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also...

In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference...

Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes...

Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate...

Hydrogen atom transfer (HAT) reactions are important in many biological systems. As these reactions are hard to observe experimentally, it is of high interest to shed light on...

Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth...

Introduction. Since its introduction in the DSM-5 and the ICD-11, the construct of personality functioning has received increased research interest. Recent studies have shown...

Below you will find the codes and the trained model weights of the paper "Smart Active Particles Learn and Transcend Bacterial Foraging Strategies".

This work proposes a novel method to generate C-Tests; a deviated form of cloze tests (a gap filling exercise) where only the last part of a word is turned into a gap. In...

Der vorliegende Datensatz soll als Grundlage für die Entwicklung von Modellen zur Vorhersage von Zeitreihen für Fräsprozesse dienen. Dazu wurden Fräsprozesse mit einer...

Anonymized models from the expert and lay-user studies conducted in the project Evidence. Each model was train for 50-60 iterations on a specific word class (adjective, verb,...

Agricultural field polygons within smallholder farming systems are essential to facilitate the collection of geo-spatial data useful for farmers, managers, and policymakers....

This directory features data that is discussed in the paper: F. Kunneman, A. Hürriyetoglu, N. Oostdijk and A. Van den Bosch (2014), Timely identification of event start dates...

This dataset features all the tweetids and labels that were used to model the language of 24 hashtags, and test the performance on predicting the hashtags in unseen tweets. This...

This dataset features training and test tweets as well as insights into the classifier model related to the paper: Kunneman, F.A., Liebrecht, C.C., Mulken, M.J.P. van & Bosch,...

NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated...