Cross-View Feature Learning via Structures Unlocking Based on Robust Low-Rank Constraint by Ao Li, Yu Ding, Deyun Chen, Guanglu Sun, Hailong Jiang, Qidi Wu

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Hybrid Feature-Learning-Based PSO-PCA Feature Engineering Approach for Blood Cancer Classification by Ghada Atteia, Rana Alnashwan, Malak Hassan

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Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings by Juan Jose Saucedo-Dorantes, Francisco Arellano-Espitia, Miguel Delgado-Prieto, Roque Alfredo Osornio-Rios

“…In this regard, in this work a novel data-driven diagnosis methodology is proposed based on deep feature learning applied to the diagnosis and identification of bearing faults for different bearing technologies, such as metallic, hybrid and ceramic bearings, in electromechanical systems. …”
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SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model by Yikang Zhang, Xiaomin Chu, Yelu Jiang, Hongjie Wu, Lijun Quan

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Dense Multiscale Feature Learning Transformer Embedding Cross-Shaped Attention for Road Damage Detection by Chuan Xu, Qi Zhang, Liye Mei, Sen Shen, Zhaoyi Ye, Di Li, Wei Yang, Xiangyang Zhou

Subjects: “…dense multi-scale feature learning…”
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AFL-Net: Attentional Feature Learning Network for Building Extraction from Remote Sensing Images by Yue Qiu, Fang Wu, Haizhong Qian, Renjian Zhai, Xianyong Gong, Jichong Yin, Chengyi Liu, Andong Wang

“…To overcome this challenge, we propose an Attentional Feature Learning Network (AFL-Net) that can accurately extract buildings from remote sensing images. …”
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Multi-Scale LBP Texture Feature Learning Network for Remote Sensing Interpretation of Land Desertification by Wuli Wang, Yumeng Jiang, Ge Wang, Fangming Guo, Zhongwei Li, Baodi Liu

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Audio-visual multi-modality driven hybrid feature learning model for crowd analysis and classification by H. Y. Swathi, G. Shivakumar

“…However, complex and inferior feature learning over visual artefacts or video streams, especially under extreme conditions confine majority of the at-hand vision-based crowd analysis and classification systems. …”
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MSF-Net: Multi-Scale Feature Learning Network for Classification of Surface Defects of Multifarious Sizes by Pengcheng Xu, Zhongyuan Guo, Lei Liang, Xiaohang Xu

“…In this paper, a Multi-Scale Feature Learning Network (MSF-Net) based on Dual Module Feature (DMF) extractor is proposed. …”
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Recognition of EEG Signal Motor Imagery Intention Based on Deep Multi-View Feature Learning by Jiacan Xu, Hao Zheng, Jianhui Wang, Donglin Li, Xiaoke Fang

“…This paper proposes a new deep multi-view feature learning method for the classification task of motor imagery electroencephalogram (EEG) signals. …”
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Fine-Grained Ship Detection in High-Resolution Satellite Images With Shape-Aware Feature Learning by Bo Guo, Ruixiang Zhang, Haowen Guo, Wen Yang, Huai Yu, Peng Zhang, Tongyuan Zou

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GCN-Based Heterogeneous Complex Feature Learning to Enhance Predictability for LncRNA–Disease Associations by Yi Zhang, Gangsheng Cai, Xin Li, Min Chen

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Scattered Train Bolt Point Cloud Segmentation Based on Hierarchical Multi-Scale Feature Learning by Ni Zeng, Jinlong Li, Yu Zhang, Xiaorong Gao, Lin Luo

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S-KMN: Integrating semantic features learning and knowledge mapping network for automatic quiz question annotation by Jing Wang, Hao Li, Xu Du, Jui-Long Hung, Shuoqiu Yang

“…It integrates semantic features learning and knowledge mapping network (KMN) to extract explicit semantic features and implicit knowledge features of questions,respectively. …”
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DIFLD: domain invariant feature learning to detect low-quality compressed face forgery images by Yan Zou, Chaoyang Luo, Jianxun Zhang

“…The model has the following components: (1) a high-frequency invariant feature learning module(hf-IFLM), which effectively retrieves the blurred artifacts in low-quality compressed images; and (2) a high-dimensional feature distribution learning module(hd-FDLM), that guides the network to learn more about the consistent features of distribution. …”
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Quality Feature Learning via Multi-Channel CNN and GRU for No-Reference Video Quality Assessment by Ngai-Wing Kwong, Yui-Lam Chan, Sik-Ho Tsang, Daniel Pak-Kong Lun

“…Therefore, in the paper, we propose quality feature learning via a multi-channel convolutional neural network (CNN) with a gated recurrent unit (GRU), taking into account both the motion-aware information and human visual perception (HVP) characteristics to solve the above issue for no-reference VQA. …”
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Single Sample Face Recognition and Verification via Feature Learning with Gabor Filter and Kernel Pooling by Daoxiang ZHOU, Shu FENG

“…The results demonstrate that the face features learned by our method have excellent discriminative power and strong robustness to the factors such as illumination, occlusion, and age.…”
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Subpixel Multilevel Scale Feature Learning and Adaptive Attention Constraint Fusion for Hyperspectral Image Classification by Zixian Ge, Guo Cao, Youqiang Zhang, Hao Shi, Yanbo Liu, Ayesha Shafique, Peng Fu

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Anti-Software Attack Ear Identification System Using Deep Feature Learning and Blockchain Protection by Xuebin Xu, Yibiao Liu, Chenguang Liu, Longbin Lu

“…This paper proposes a software-attack-proof ear recognition system using deep feature learning and blockchain protection to address the problem that the recognition performance of existing systems is generally poor in the face of unconstrained ear databases in realistic scenarios. …”
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MLGN: multi-scale local-global feature learning network for long-term series forecasting by Maowei Jiang, Kai Wang, Yue Sun, Wenbo Chen, Bingjie Xia, Ruiqi Li

“…Furthermore, our proposed method,multi-scale local-global feature learning network (MLGN), achieves a time and memory complexity of O ( L ) and consistently achieve state-of-the-art results on six benchmark datasets. …”
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