Unsupervised feature learning improves prediction of human brain activity in response to natural images. by Umut Güçlü, Marcel A J van Gerven

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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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Unsupervised Domain Adaptation via Weighted Sequential Discriminative Feature Learning for Sentiment Analysis by Haidi Badr, Nayer Wanas, Magda Fayek

“…This potentially leads to instability during shared-feature learning. To tackle this issue, WS-UDA employs a two-stage transfer process concurrently, significantly enhancing model stability and adaptability. …”
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An Intelligent Deep Feature Learning Method With Improved Activation Functions for Machine Fault Diagnosis by Wei You, Changqing Shen, Dong Wang, Liang Chen, Xingxing Jiang, Zhongkui Zhu

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An Improved Heuristic Optimization Algorithm for Feature Learning Based on Morphological Filtering and its Application by Lishuan Hu, Chengming Qi, Shengjun Chen, Qun Wang

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Multi-Labeled Recognition of Distribution System Conditions by a Waveform Feature Learning Model by Sang-Keun Moon, Jin-O Kim, Charles Kim

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Marginal Deep Architecture: Stacking Feature Learning Modules to Build Deep Learning Models by Guoqiang Zhong, Kang Zhang, Hongxu Wei, Yuchen Zheng, Junyu Dong

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Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating by Jaideep Singh, Matloob Khushi

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Cable Incipient Fault Identification Method Using Power Disturbance Waveform Feature Learning by Hong Lu, Wen-Hai Zhang, Ying Wang, Xian-Yong Xiao

“…This paper fully considers the randomness and uncertainty of CIF waveforms, and proposes a CIF identification method using power disturbance waveform feature learning. Firstly, the shallow features are extracted to characterize the transient components of different disturbance current waveforms, by conducting a stationary wavelet transform. …”
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Vehicle Re-Identification Based on Global Relational Attention and Multi-Granularity Feature Learning by Xin Tian, Xiyu Pang, Gangwu Jiang, Qinglan Meng, Yanli Zheng

“…To better extract such features from the vehicle image to improve the recognition accuracy, we propose a three-branch adaptive attention network—Global Relational Attention and Multi-granularity Feature Learning (GRMF) to improve feature representation and discrimination. …”
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Incremental multi‐view correlated feature learning based on non‐negative matrix factorisation by Liang Zhao, Tao Yang, Jie Zhang, Zhikui Chen

“…This makes multi‐view feature learning cost much time when new instances rise incrementally. …”
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Discriminative Feature Learning Constrained Unsupervised Network for Cloud Detection in Remote Sensing Imagery by Weiying Xie, Jian Yang, Yunsong Li, Jie Lei, Jiaping Zhong, Jiaojiao Li

“…The UNCD method enforces discriminative feature learning to obtain the residual error between the original input and the background in deep latent space, which is based on the observation that clouds are sparse and modeled as sparse outliers in remote sensing imagery. …”
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Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning by Chuan Li, René-Vinicio Sánchez, Grover Zurita, Mariela Cerrada, Diego Cabrera

“…To tackle this problem, a model for deep statistical feature learning from vibration measurements of rotating machinery is presented in this paper. …”
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EFFICIENT DEEP FEATURES LEARNING FOR VULNERABILITY DETECTION USING CHARACTER N- GRAM EMBEDDING by Mamdouh Alenezi, Mohammed Zagane, Yasir Javed

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Multi-branch feature learning based speech emotion recognition using SCAR-NET by Keji Mao, Yuxiang Wang, Ligang Ren, Jinhong Zhang, Jiefan Qiu, Guanglin Dai

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Unsupervised Mechanical Fault Feature Learning Based on Consistency Inference-Constrained Sparse Filtering by Ran Wang, Fengkai Liu, Xiong Hu, Jin Chen

Subjects: “…Unsupervised feature learning…”
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Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning by Feng Yang, Xiangyue Yuan, Jie Ran, Wenqiang Shu, Yue Zhao, Anyong Qin, Chenqiang Gao

“…These three modules enable a better feature learning of the instance segmentation network. …”
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A conditional random field based feature learning framework for battery capacity prediction by Hai-Kun Wang, Yang Zhang, Mohong Huang

“…The model uses LSTM to extract temporal features from the data and CRF to build a transfer matrix to enhance temporal feature learning for long serialization prediction of lithium battery feature sequence data. …”
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Predicting Cardiovascular Rehabilitation of Patients with Coronary Artery Disease Using Transfer Feature Learning by Romina Torres, Christopher Zurita, Diego Mellado, Orietta Nicolis, Carolina Saavedra, Marcelo Tuesta, Matías Salinas, Ayleen Bertini, Oneglio Pedemonte, Marvin Querales, Rodrigo Salas

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