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ORCIDPattern Recognition Letters, Volume 141
Volume 141, January 2021
- Alexandros Stergiou
, Ronald Poppe:
Learn to cycle: Time-consistent feature discovery for action recognition. 1-7 - Abhilasha Nanda, Woobin Im, Key-Sun Choi, Hyun Seung Yang:
Combined center dispersion loss function for deep facial expression recognition. 8-15 - Francisco Javier Alvarez Padilla, Barbara Romaniuk, Benoît Naegel, Stéphanie Servagi-Vernat, David Morland, Dimitri Papathanassiou, Nicolas Passat:
Random walkers on morphological trees: A segmentation paradigm. 16-22 - Alberto Amato, Alessandro Quarto, Vincenzo Di Lecce:
An application of cyber-physical system and multi-agent technology to demand-side management systems. 23-31 - Qulin Tan, Bin Guo, Jun Hu, Xiaofeng Dong, Jiping Hu:
Object-oriented remote sensing image information extraction method based on multi-classifier combination and deep learning algorithm. 32-36 - Ning Liu, Bin Guo, Xinju Li, Xiangyu Min:
Gradient clustering algorithm based on deep learning aerial image detection. 37-44 - Heng Li, Liming Zhang, Meirong Jiang, Yulong Li:
Multi-focus image fusion algorithm based on supervised learning for fully convolutional neural network. 45-53 - Magdiel Jiménez-Guarneros, Pilar Gómez-Gil:
Standardization-refinement domain adaptation method for cross-subject EEG-based classification in imagined speech recognition. 54-60 - Pin Wang, En Fan, Peng Wang:
Comparative analysis of image classification algorithms based on traditional machine learning and deep learning. 61-67 - Xianrui Li, Zhiling Ye, Zhao Zhang, Mingbo Zhao:
Clothes image caption generation with attribute detection and visual attention model. 68-74
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