Unsupervised Feature Learning for Speech Emotion Recognition Based on Autoencoder by Yangwei Ying, Yuanwu Tu, Hong Zhou

“…Currently, the most effective approach is to make use of unsupervised feature learning techniques to extract speech features from available speech data and generate emotion classifiers with these features. …”
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Consecutive multiscale feature learning-based image classification model by Bekhzod Olimov, Barathi Subramanian, Rakhmonov Akhrorjon Akhmadjon Ugli, Jea-Soo Kim, Jeonghong Kim

“…Specifically, we present a consecutive multiscale feature-learning network (CMSFL-Net) that employs a consecutive feature-learning approach based on the usage of various feature maps with different receptive fields to achieve faster training/inference and higher accuracy. …”
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Temporal Feature Learning and Pulse Prediction for Radars with Variable Parameters by Shuo Yuan, Zhang-Meng Liu

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Multi-Scale Feature Learning for Language Identification of Overlapped Speech by Zuhragvl Aysa, Mijit Ablimit, Askar Hamdulla

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Effective Transfer Learning with Label-Based Discriminative Feature Learning by Gyunyeop Kim, Sangwoo Kang

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Deep Feature Learning for Intrinsic Signature Based Camera Discrimination by Chaity Banerjee, Tharun Kumar Doppalapudi, Eduardo Pasiliao, Tathagata Mukherjee

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QoS prediction in intelligent edge computing based on feature learning by Hongxia Zhang, Dengyue Wang, Wei Zhang, Lizhuang Tan, Godfrey Kibalya, Peiying Zhang, Kostromitin Konstantin Igorevich

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Adversarial Multiscale Feature Learning Framework for Overlapping Chromosome Segmentation by Liye Mei, Yalan Yu, Hui Shen, Yueyun Weng, Yan Liu, Du Wang, Sheng Liu, Fuling Zhou, Cheng Lei

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Genetic Programming for High-Level Feature Learning in Crop Classification by Miao Lu, Ying Bi, Bing Xue, Qiong Hu, Mengjie Zhang, Yanbing Wei, Peng Yang, Wenbin Wu

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Dense Point Cloud Reconstruction by Shape and Pose Features Learning by YANG Yongzhao, ZHANG Yujin, ZHANG Lijun

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Multiple deep features learning for object retrieval in surveillance videos by Haiyun Guo, Jinqiao Wang, Hanqing Lu

Subjects: “…multiple deep features learning…”
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Deep Feature Learning with Manifold Embedding for Robust Image Retrieval by Xin Chen, Ying Li

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Feature learning in deep classifiers through Intermediate Neural Collapse by Rangamani, Akshay, Lindegaard, Marius, Galanti, Tomer, Poggio, Tomaso

“…In this paper, we conduct an empirical study of the feature learning process in deep classifiers. Recent research has identified a training phenomenon called Neural Collapse (NC), in which the top-layer feature embeddings of samples from the same class tend to concentrate around their means, and the top layer’s weights align with those features. …”
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Discriminative Ocular Artifact Correction for Feature Learning in EEG Analysis by Li, Xinyang, Guan, Cuntai, Zhang, Haihong, Ang, Kai Keng

“…To address these issues, we propose a novel discriminative ocular artifact correction approach for feature learning in EEG analysis. Without extra ocular movement measurements, the artifact is extracted from raw EEG data, which is totally automatic and requires no visual inspection of artifacts. …”
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Multilayer vectorization to develop a deeper image feature learning model by D. Hemanand, N. P. G. Bhavani, Shahanaz Ayub, Mohd Wazih Ahmad, S. Narayanan, Anandakumar Haldorai

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Multi-Scale Feature Learning Convolutional Neural Network for Image Denoising by Shuo Zhang, Chunyu Liu, Yuxin Zhang, Shuai Liu, Xun Wang

Subjects: “…multi-scale feature learning…”
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A Tooth Segmentation Method Based on Multiple Geometric Feature Learning by Tian Ma, Yizhou Yang, Jiechen Zhai, Jiayi Yang, Jiehui Zhang

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Person Re‐identification Based on Feature Erasure and Diverse Feature Learning by Lu Peng, Zhang Jidong, Zhang Zhen, Wang Wei, Dou Yamei

“…Finally, diverse feature learning is achieved through the branch network structure. …”
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Multiscale Feature-Learning with a Unified Model for Hyperspectral Image Classification by Tahir Arshad, Junping Zhang, Inam Ullah, Yazeed Yasin Ghadi, Osama Alfarraj, Amr Gafar

“…The main objective was to facilitate multiscale feature learning, a pivotal facet in hyperspectral image classification, with each branch specializing in unique facets of multiscale feature extraction. …”
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Discriminative Angle Feature Learning for Open-Set Deep Fault Classification by Jie Mei, Wei Liu, Ming Zhu, Yongka Qi, Ming Fu, Yushi Li, Quan Yuan

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