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07/18/2023
End-to-End Neural Network Training for Hyperbox-Based Classification
Hyperbox-based classification has been seen as a promising technique in ...
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06/05/2023
Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests
The vast amounts of data collected in various domains pose great challen...
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01/15/2023
BuildSeg: A General Framework for the Segmentation of Buildings
Building segmentation from aerial images and 3D laser scanning (LiDAR) i...
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12/18/2022
Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion and UV GAN
Fine-grained semantic segmentation of a person's face and head, includin...
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12/18/2022
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing
Deep unfolding networks (DUNs) have proven to be a viable approach to co...
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12/21/2021
Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass
Knowledge of forest biomass stocks and their development is important fo...
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09/29/2020
Attentional Feature Fusion
Feature fusion, the combination of features from different layers or bra...
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05/16/2020
Inferring astrophysical X-ray polarization with deep learning
We investigate the use of deep learning in the context of X-ray polariza...
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12/10/2019
Magnitude and Uncertainty Pruning Criterion for Neural Networks
Neural networks have achieved dramatic improvements in recent years and ...
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12/04/2019
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data
Massive amounts of satellite data have been gathered over time, holding ...
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06/11/2019
Learning Selection Masks for Deep Neural Networks
Data have often to be moved between servers and clients during the infer...
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07/04/2018
Massively-Parallel Break Detection for Satellite Data
The field of remote sensing is nowadays faced with huge amounts of data....
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02/18/2018
Training Big Random Forests with Little Resources
Without access to large compute clusters, building random forests on lar...
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09/19/2017
Deep-Learnt Classification of Light Curves
Astronomy light curves are sparse, gappy, and heteroscedastic. As a resu...
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04/15/2017
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy
Astrophysics and cosmology are rich with data. The advent of wide-area d...
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11/17/2015
