Multi-Channel Deep Feature Learning for Intrusion Detection by Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba

“…In this paper a novel deep neural network architecture is defined, in order to learn flexible and effective intrusion detection models, by combining an unsupervised stage for multi-channel feature learning with a supervised one exploiting feature dependencies on cross channels. …”
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Evolutionary Feature Learning for 3-D Object Recognition by Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaid, Lyndon While

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Feature Learning for Fingerprint-Based Positioning in Indoor Environment by Zengwei Zheng, Yuanyi Chen, Tao He, Lin Sun, Dan Chen

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Foundations of Machine Learning: Over-parameterization and Feature Learning by Radhakrishnan, Adityanarayanan

“…Moreover, the mechanism identified in our work provides a backpropagation-free method for feature learning with any machine learning model. To demonstrate the effectiveness of this feature learning mechanism, we use it to enable feature learning in kernel machines. …”
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A biological model of object recognition with feature learning by Louie, Jennifer, 1980-

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A Biological Model of Object Recognition with Feature Learning by Louie, Jennifer

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Triple-view feature learning for medical image segmentation by Wang, Z, Voiculescu, ID

“…It uses triple-view feature learning on a limited amount of labelled data and a large amount of unlabeled data. …”

Multi-Level Joint Feature Learning for Person Re-Identification by Shaojun Wu, Ling Gao

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Semantic Feature Learning via Dual Sequences for Defect Prediction by Junhao Lin, Lu Lu

“…To solve this problem, this paper proposes a framework called Semantic Feature Learning via Dual Sequences (SFLDS), which can capture the semantic and structural information in the AST for feature generation. …”
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Adaptive Spatial-Spectral Feature Learning for Hyperspectral Image Classification by Simin Li, Xueyu Zhu, Yang Liu, Jie Bao

“…To address this issue, a novel adaptive spatial-spectral feature learning network (ASSFL) has been proposed to reflect spatial contexture changes and learn robust adaptive features in this paper. …”
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Enhanced HMAX model with feedforward feature learning for multiclass categorization by Yinlin eLi, Wei eWu, Bo eZhang, Fengfu eLi

“…By adding a softmax layer at the top of the model, multiclass categorization experiments can be conducted, and the results on Caltech101 show that the enhanced model with a smaller memory size exhibits higher accuracy than the original HMAX model, and could also achieve better accuracy than other unsupervised feature learning methods in multiclass categorization task.…”
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Multi-task feature learning by using trace norm regularization by Jiangmei Zhang, Binfeng Yu, Haibo Ji, Wang Kunpeng

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Hybrid feature learning framework for the classification of encrypted network traffic by S. Ramraj, G. Usha

“…Additionally, various feature learning frameworks based on deep learning, such as DNN, Autoencoder and PCA, are compared. …”
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Feature Learning Improved by Location Guidance and Supervision for Object Detection by Bingying Li, Jiale Xiong, Xiang Fu, Jiexian Zeng, Lu Leng

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A novel method for feature learning and network intrusion classification by Ahmed S. Alzahrani, Reehan Ali Shah, Yuntao Qian, Munwar Ali

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Unsupervised Feature Learning to Improve Transferability of Landslide Susceptibility Representations by Qing Zhu, Li Chen, Han Hu, Saeid Pirasteh, Haifeng Li, Xiao Xie

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Robust Multi-Feature Learning for Skeleton-Based Action Recognition by Yingfu Wang, Zheyuan Xu, Li Li, Jian Yao

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Deep feature learning for gender classification with covered/camouflaged faces by Mohammed Alghaili, Zhiyong Li, Hamdi A.R. Ali

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SPWalk: Similar Property Oriented Feature Learning for Phishing Detection by Xiuwen Liu, Jianming Fu

Subjects: “…Feature learning…”
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Attention-Based Neural Bag-of-Features Learning for Sequence Data by Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis

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