Subject
Creator
- Baichuan Zhang 1
- Bartlomiej P. Rajwa 1
- Douglas R Schmitt, 0000-0001-6920-0658 1
- Murat Dundar 1
- Oumeng Zhang, 0000-0003-3051-2325 1
- Qiang Kou 1
- Yicheng He 1
Type
- Dataset 2
Date
subject: deep learning subject: Machine Learning type: dataset
Total is 2 Results
Simplicity of K-means versus deepness of Deep Learning. A Case of Unsupervised Feature Learning with Limited Data
10.4231/R7N58J9Z
Baichuan Zhang , Bartlomiej P. Rajwa , Murat Dundar , Qiang Kou , Yicheng He
10/01/2015
A study contrasting K-means-based unsupervised feature learning and deep learning techniques for small data sets with limited intra- as well as inter-class diversity
bacterial colonies BARDOT Biomedical Engineering Computer Science deep learning Elastic light scattering Interdisciplinary Research K-Means Clustering Life Sciences Machine Learning representation learning
A deep learning neural network to extract of P- and S-wave transit times from Vertical Seismic Profile (VSP)
10.4231/TT0F-KH40
Douglas R Schmitt
,
Oumeng Zhang
07/23/2024
This archive contains the training dataset and the Python code to train a deep learning neural net that aims to extract separately P and S wave arrival transit times from synthetic common shot gathers (CSG) in a deviated borehole geometry.
deep learning Machine Learning Machine Learning and Geophysical Signals seismic behavior
Display #
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