UHCSDB: UltraHigh Carbon Steel Micrograph DataBase

[1]  B. Webler,et al.  Coarsening of Inter- and Intra-granular Proeutectoid Cementite in an Initially Pearlitic 2C-4Cr Ultrahigh Carbon Steel , 2017, Metallurgical and Materials Transactions A.

[2]  Brian L. DeCost,et al.  Exploring the microstructure manifold: Image texture representations applied to ultrahigh carbon steel microstructures , 2017, 1702.01117.

[3]  Bryce Meredig,et al.  Beyond bulk single crystals: A data format for all materials structure–property–processing relationships , 2016 .

[4]  H. V. Jagadish,et al.  The Materials Commons: A Collaboration Platform and Information Repository for the Global Materials Community , 2016 .

[5]  B. Webler,et al.  Digital image analysis to quantify carbide networks in ultrahigh carbon steels , 2016 .

[6]  Bryce Meredig,et al.  Materials Data Infrastructure: A Case Study of the Citrination Platform to Examine Data Import, Storage, and Access , 2016 .

[7]  B. Meredig,et al.  Materials science with large-scale data and informatics: Unlocking new opportunities , 2016 .

[8]  Ram Seshadri,et al.  Perspective: Interactive material property databases through aggregation of literature data , 2016 .

[9]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[10]  R. Smith,et al.  An Overview of the Tesseract OCR Engine , 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

[11]  Mikhail Belkin,et al.  Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.

[12]  I. Jolliffe.  Principal Component Analysis , 2002 .

[13]  L. Saul,et al.  Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.

[14]  J. Tenenbaum,et al.  A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.

[15]  J. Kruskal.  Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis , 1964 .

[16]  Geoffrey E. Hinton,et al.  Deep Learning , 2015 .

[17]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[18]  Eric O. Postma,et al.  Dimensionality Reduction: A Comparative Review , 2008 .

[19]  Joshua D. Warner,et al.  Distributed under Creative Commons Cc-by 4.0 Scikit-image: Image Processing in Python , 2022 .