Deep learning model construction for a semi-supervised classification with feature learning by Sridhar Mandapati, Seifedine Kadry, R. Lakshmana Kumar, Krongkarn Sutham, Orawit Thinnukool

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Graph Signal Smoothness Based Feature Learning of Brain Functional Networks in Schizophrenia by Xiaoying Song, Li Chai

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Adversarial Remote Sensing Scene Classification Based on Lie Group Feature Learning by Chengjun Xu, Jingqian Shu, Guobin Zhu

“…To address this problem, a novel supervised adversarial Lie Group feature learning network is proposed. In the case of limited data samples, the model can effectively generate data samples with category information. …”
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Emotion Classification Based on Transformer and CNN for EEG Spatial–Temporal Feature Learning by Xiuzhen Yao, Tianwen Li, Peng Ding, Fan Wang, Lei Zhao, Anmin Gong, Wenya Nan, Yunfa Fu

“…To address these challenges, the present study proposes a novel model based on transformer and convolutional neural networks (TCNN) for EEG spatial–temporal (EEG ST) feature learning to automatic emotion classification. Methods: The proposed EEG ST-TCNN model utilizes position encoding (PE) and multi-head attention to perceive channel positions and timing information in EEG signals. …”
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Unsupervised SAR Imagery Feature Learning with Median Filter-Based Loss Value by Krzysztof Gromada

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Privacy-Preserving Face Recognition Method Based on Randomization and Local Feature Learning by Yanhua Huang, Zhendong Wu, Juan Chen, Hui Xiang

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Structured Cluster Detection from Local Feature Learning for Text Region Extraction by Huei-Yung Lin, Chin-Yu Hsu

“…Different from the existing methods, our approach takes the application-specific reference images for feature learning and extraction. It is able to identify text clusters under the sparsity of feature points derived from the characters. …”
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Feature Learning for SAR Target Recognition with Unknown Classes by Using CVAE-GAN by Xiaowei Hu, Weike Feng, Yiduo Guo, Qiang Wang

Subjects: “…feature learning…”
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Tuning the Weights: The Impact of Initial Matrix Configurations on Successor Features’ Learning Efficacy by Hyunsu Lee

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Semi-Supervised Ground-to-Aerial Adaptation with Heterogeneous Features Learning for Scene Classification by Zhipeng Deng, Hao Sun, Shilin Zhou

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End-to-End Light Field Image Compression with Multi-Domain Feature Learning by Kangsheng Ye, Yi Li, Ge Li, Dengchao Jin, Bo Zhao

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Discriminative feature learning‐based pixel difference representation for facial expression recognition by Zhe Sun, Zheng‐Ping Hu, Meng Wang, Shu‐Huan Zhao

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Music recommendation algorithms based on knowledge graph and multi-task feature learning by Xinqiao Liu, Zhisheng Yang, Jinyong Cheng

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Low‐rank constrained weighted discriminative regression for multi‐view feature learning by Chao Zhang, Huaxiong Li

“…A new supervised feature learning method for multi‐view data, called low‐rank constrained weighted discriminative regression (LWDR), is proposed. …”
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Simultaneous local binary feature learning and encoding for homogeneous and heterogeneous face recognition by Lu, Jiwen, Liong, Venice Erin, Zhou, Jie

“…In this paper, we propose a simultaneous local binary feature learning and encoding (SLBFLE) approach for both homogeneous and heterogeneous face recognition. …”
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Exemplar based deep discriminative and shareable feature learning for scene image classification by Zuo, Zhen, Wang, Gang, Shuai, Bing, Zhao, Lifan, Yang, Qingxiong

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Optimized Feature Learning for Anti-Inflammatory Peptide Prediction Using Parallel Distributed Computing by Salman Khan, Muhammad Abbas Khan, Mukhtaj Khan, Nadeem Iqbal, Salman A. AlQahtani, Mabrook S. Al-Rakhami, Dost Muhammad Khan

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Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine by Xiaoping Fang, Yaoming Cai, Zhihua Cai, Xinwei Jiang, Zhikun Chen

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Dim and Small Space-Target Detection and Centroid Positioning Based on Motion Feature Learning by Shengping Su, Wenlong Niu, Yanzhao Li, Chunxu Ren, Xiaodong Peng, Wei Zheng, Zhen Yang

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Semantic Multigranularity Feature Learning for High-Resolution Remote Sensing Image Scene Classification by Xinyi Ma, Zhifeng Xiao, Hong-sik Yun, Seung-Jun Lee

“…In this study, we propose a novel method named Semantic Multigranularity Feature Learning Network (SMGFL-Net) for remote sensing image scene classification. …”
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