Learning to Track Aircraft in Infrared Imagery by Sijie Wu, Kai Zhang, Shaoyi Li, Jie Yan

Subjects: “…feature learning…”
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Sparse, Robust and Discriminative Representation by Supervised Regularized Auto-encoder by Nima Farajian

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Image Fundus Classification System for Diabetic Retinopathy Stage Detection Using Hybrid CNN-DELM by Dian Candra Rini Novitasari, Fatmawati Fatmawati, Rimuljo Hendradi, Hetty Rohayani, Rinda Nariswari, Arnita Arnita, Moch Irfan Hadi, Rizal Amegia Saputra, Ardhin Primadewi

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GraRep++: Flexible Learning Graph Representations With Weighted Global Structural Information by Mengcen Ouyang, Yinglong Zhang, Xuewen Xia, Xing Xu

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Scene Complexity: A New Perspective on Understanding the Scene Semantics of Remote Sensing and Designing Image-Adaptive Convolutional Neural Networks by Jian Peng, Xiaoming Mei, Wenbo Li, Liang Hong, Bingyu Sun, Haifeng Li

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A Data Driven RUL Estimation Framework of Electric Motor Using Deep Electrical Feature Learning from Current Harmonics and Apparent Power by Tanvir Alam Shifat, Rubiya Yasmin, Jang-Wook Hur

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Improving the Accuracy of Two-Color Multiview (2CMV) Advanced Geospatial Information (AGI) Products Using Unsupervised Feature Learning and Optical Flow by Berkay Kanberoglu, David Frakes

“…To detect temporal changes, we propose using unsupervised feature learning algorithms in conjunction with optical flow algorithms that track the motion of objects across time in small regions of interest. …”
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Graph generative and adversarial strategy-enhanced node feature learning and self-calibrated pairwise attribute encoding for prediction of drug-related side effects by Ping Xuan, Kai Xu, Hui Cui, Toshiya Nakaguchi, Tiangang Zhang, Tiangang Zhang

“…Since each heterogeneous graph has its specific topology and node attributes, a node feature learning strategy was designed and the learning for each graph was enhanced from a graph generative and adversarial perspective. …”
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Using self-supervised feature learning to improve the use of pulse oximeter signals to predict paediatric hospitalization [version 2; peer review: 2 approved] by Samuel Akech, Paul Mwaniki, Dustin Dunsmuir, Timothy Kamanu, M.J.C Eijkemans, J. Mark Ansermino

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An evolutionary approach for depression detection from Twitter big data using a novel deep learning model with attention based feature learning mechanism by Prabhakar K, Kavitha V

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Implicit Semantic Data Augmentation for Hand Pose Estimation by Kyeongeun Seo, Hyeonjoong Cho, Daewoong Choi, Ju-Derk Park

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Deep Learning on Point Clouds and Its Application: A Survey by Weiping Liu, Jia Sun, Wanyi Li, Ting Hu, Peng Wang

Subjects: “…feature learning…”
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Weighted Hybrid Feature Reduction Embedded with Ensemble Learning for Speech Data of Parkinson’s Disease by Zeeshan Hameed, Waheed Ur Rehman, Wakeel Khan, Nasim Ullah, Fahad R. Albogamy

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Total Variation PCA-Based Descriptors for Electrocardiography Identity Recognition by Haiying Liu, Haiyan Lin, Xianhui Wang

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Contextual Patch-NetVLAD: Context-Aware Patch Feature Descriptor and Patch Matching Mechanism for Visual Place Recognition by Wenyuan Sun, Wentang Chen, Runxiang Huang, Jing Tian

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Accurate Landmark Localization for Medical Images Using Perturbations by Junhyeok Kang, Kanghan Oh, Il-Seok Oh

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Enhancing Robustness of Viewpoint Changes in 3D Skeleton-Based Human Action Recognition by Jinyoon Park, Chulwoong Kim, Seung-Chan Kim

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The Optimally Designed Variational Autoencoder Networks for Clustering and Recovery of Incomplete Multimedia Data by Xiulan Yu, Hongyu Li, Zufan Zhang, Chenquan Gan

Subjects: “…feature learning…”
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A novel epilepsy seizure prediction model using deep learning and classification by B. Jaishankar, Ashwini A.M., Vidyabharathi D., L. Raja

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Context-Aware Multi-Scale Aggregation Network for Congested Crowd Counting by Liangjun Huang, Shihui Shen, Luning Zhu, Qingxuan Shi, Jianwei Zhang

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