CrossRef Text and Data Mining

Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining.

Ultrasonography of ovarian masses using a pattern recognition approach

Sung Il Jung

Ultrasonography. 2015;34(3):173-182. Published online 2015 February 7 DOI: https://doi.org/10.14366/usg.15003

On the knowledge-based pattern recognition using syntactic approach

Guangzheng Yang

Pattern Recognition. 1991;24(3):185-193

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Computer-aided diagnosis of mammographic masses based on a supervised content-based image retrieval approach

Lazaros Tsochatzidis, Konstantinos Zagoris, Nikolaos Arikidis, Anna Karahaliou, Lena Costaridou, Ioannis Pratikakis

Pattern Recognition. 2017;71:106-117

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Pattern classification using the phase velocity field approach

Nikzad Toomarian

Pattern Recognition Letters. 1992;13(1):13-17

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A windowing approach to detecting line segments using Hough transform

Yuefeng Zhang, Robert Webber

Pattern Recognition. 1996;29(2):255-265

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Neural network approach for classification using features extracted by a mapping

Yi Sun

Pattern Recognition Letters. 1993;14(10):749-752

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Tracking feature points in time-varying images using an opportunistic selection approach

Vincent S.S. Hwang

Pattern Recognition. 1989;22(3):247-256

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Optimal thresholding using multi-state stochastic connectionist approach

G. Phanendra Babu, M.Narasimha Murty

Pattern Recognition Letters. 1995;16(1):11-18

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An aggregated clustering approach using multi-ant colonies algorithms

Yan Yang, Mohamed S. Kamel

Pattern Recognition. 2006;39(7):1278-1289

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Bidimensional shape detection using an invariant approach

N. Guil, J.M. Gonzalez-Linares, E.L. Zapata

Pattern Recognition. 1999;32(6):1025-1038

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A density-based cluster validity approach using multi-representatives

Maria Halkidi, Michalis Vazirgiannis

Pattern Recognition Letters. 2008;29(6):773-786

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