Michael Giering

According to our database1, Michael Giering authored at least 14 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Unsupervised PulseNet: Automated Pruning of Convolutional Neural Networks by K-Means Clustering.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020
PulseNetOne: Fast Unsupervised Pruning of Convolutional Neural Networks for Remote Sensing.
Remote. Sens., 2020

2019
Structural Material Property Tailoring Using Deep Neural Networks.
CoRR, 2019

Pulse-Net: Dynamic Compression of Convolutional Neural Networks.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Deep Learning Human Activity Recognition.
Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019

2018
Generative Adversarial Networks for Depth Map Estimation From RGB Video.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames.
J. Signal Process. Syst., 2017

2015
Multi-modal sensor registration for vehicle perception via deep neural networks.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

2014
Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks.
CoRR, 2014

2012
Simplex Decompositions using SVD and PLSA.
Proceedings of the ICPRAM 2012, 2012

2011
Parametric Characterization of Multimodal Distributions with Non-gaussian Modes.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2009
Mining Retail Transaction Data for Targeting Customers with Headroom - A Case Study.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

2008
Retail sales prediction and item recommendations using customer demographics at store level.
SIGKDD Explor., 2008


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