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8th ICPRAM 2019: Prague, Czech Republic

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Maria De Marsico, Gabriella Sanniti di Baja, Ana L. N. Fred:
Pattern Recognition Applications and Methods - 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11996, Springer 2020, ISBN 978-3-030-40013-2

Theory and Methods

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Shengkun Xie, Anna T. Lawniczak:
Fourier Spectral Domain Functional Principal Component Analysis of EEG Signals. 3-22
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Sahar Qaadan, Abhijeet Pendyala, Merlin Schüler, Tobias Glasmachers:
Online Budgeted Stochastic Coordinate Ascent for Large-Scale Kernelized Dual Support Vector Machine Training. 23-47
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Arthur Chambon, Frédéric Lardeux, Frédéric Saubion, Tristan Boureau:
Attributes for Understanding Groups of Binary Data. 48-70
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Naoya Higuchi, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama:
Annealing by Increasing Resampling. 71-92

Applications

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Dieter De Paepe, Diego Nieves Avendano, Sofie Van Hoecke:
Implications of Z-Normalization in the Matrix Profile. 95-118
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Marcus Valtonen Örnhag, Mårten Wadenbäck:
Enforcing the General Planar Motion Model: Bundle Adjustment for Planar Scenes. 119-135
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Mirko Marras, Pedro A. Marín-Reyes, Javier Lorenzo-Navarro, Modesto Castrillón Santana, Gianni Fenu:
Deep Multi-biometric Fusion for Audio-Visual User Re-Identification and Verification. 136-157

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