Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data

16 July 2020

Papers citing "Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data"

8 / 8 papers shown

Title
Overview: Computer vision and machine learning for microstructural characterization and analysis Elizabeth A. Holm R. Cohn Nan Gao Andrew R. Kitahara Thomas P. Matson Bo Lei Srujana Rao Yarasi 57 163 0 28 May 2020
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel Brian L. DeCost Bo Lei T. Francis Elizabeth A. Holm AI4CE 42 143 0 04 May 2018
Building Data-driven Models with Microstructural Images: Generalization and Interpretability Julia Ling Maxwell Hutchinson Erin Antono Brian L. DeCost Elizabeth A. Holm B. Meredig AI4CE OOD 43 67 0 01 Nov 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 329 18,647 0 06 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,590 0 01 Sep 2014
scikit-image: Image processing in Python Stéfan van der Walt Johannes L. Schonberger Juan Nunez-Iglesias François Boulogne Joshua D. Warner Neil Yager Emmanuelle Gouillart Tony Yu the scikit-image contributors SSeg GP VLM 190 4,351 0 23 Jul 2014