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Pattreeya Tanisaro
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2010 – 2019
- 2019
- [b1]Pattreeya Tanisaro:
Time-dependent data: classification and visualization. University of Osnabrück, Germany, 2019, pp. 1-97 - [c6]Pattreeya Tanisaro, Gunther Heidemann:
A very concise feature representation for time series classification understanding. MVA 2019: 1-6 - [c5]Pattreeya Tanisaro, Gunther Heidemann:
Dimensionality Reduction for Visualization of Time Series and Trajectories. SCIA 2019: 246-257 - 2018
- [c4]Pattreeya Tanisaro, Gunther Heidemann:
An Empirical Study on Bidirectional Recurrent Neural Networks for Human Motion Recognition. TIME 2018: 21:1-21:19 - 2017
- [c3]Pattreeya Tanisaro, Constantin Lehman, Leon René Sütfeld, Gordon Pipa, Gunther Heidemann:
Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks. ICANN (1) 2017: 84-91 - [c2]Pattreeya Tanisaro, Florian Mahner, Gunther Heidemann:
Quasi View-Independent Human Motion Recognition in Subspaces. ICMLC 2017: 278-283 - 2016
- [c1]Pattreeya Tanisaro, Gunther Heidemann:
Time Series Classification Using Time Warping Invariant Echo State Networks. ICMLA 2016: 831-836 - 2015
- [j1]Pattreeya Tanisaro, Julius Schöning, Kuno Kurzhals, Gunther Heidemann, Daniel Weiskopf:
Visual analytics for video applications. it Inf. Technol. 57(1): 30-36 (2015)
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