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TSFEL: Time Series Feature Extraction Library
SoftwareX, 2020 Time series feature extraction is one of the preliminary steps of conventional machine learning pipelines. Quite often, this process ends being a time consuming and complex task as data scientists must consider a combination between a multitude of domain
Marília Barandas +8 more
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A Novel Illumination-Insensitive Feature Extraction Method
IEEE Access, 2020 Image description is a great challenge in the field of computer vision under complex illumination condition. The complex illumination condition is usually unavoidable and unpredictable in real application.
Gao Tao +5 more
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International Journal of Information and Communication Technology Research, 2018 A fusion method for spectral-spatial classification of hyperspectral images is proposed in this paper. In the proposed framework, at first, the dimension of hyperspectral image is reduced by several state-of-the-art spectral feature extraction methods, i.
Maryam imani, Hassan Ghassemian
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Aspect-level multimodal sentiment analysis model based on multi-scale feature extraction
Scientific ReportsIn existing multimodal sentiment analysis methods, only the last layer output of BERT is typically used for feature extraction, neglecting abundant information from intermediate layers.
Bocheng Miao, Changbo Xu
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Nonparametric Feature Extraction from Dendrograms
, 2019 We propose feature extraction from dendrograms in a nonparametric way. The Minimax distance measures correspond to building a dendrogram with single linkage criterion, with defining specific forms of a level function and a distance function over that ...
Chehreghani, Morteza Haghir +1 more
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On a shape adaptive image ray transform
, 2013 A conventional approach to image analysis is to perform separately feature extraction at a low level (such as edge detection) and follow this with high level feature extraction to determine structure (e.g.
Ah Reum, Oh, Nixon, Mark S.
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A method for identifying gully-type debris flows based on adaptive multi-scale feature extraction
Geomatics, Natural Hazards & RiskRapid and accurate identification of gully-type debris flows is vital for safeguarding lives and property in mountainous regions. To address the issues of inaccurate and insufficient gully feature extraction, we propose a dual-branch feature extraction ...
Qiuyu Liu +3 more
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Biometric Feature Extraction for Iris Scans
Journal of Information Security and Cybercrimes Research, 2019 This paper generally seeks to demonstrate understanding and use of iris scans for biometric identification. Salient features of iris are identified, their extracts analyzed critically by use of a software.
Muhanned AL-Rawi
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Dublin City University video track experiments for TREC 2002 [PDF]
, 2002 Dublin City University participated in the Feature Extraction task and the Search task of the TREC-2002 Video Track. In the Feature Extraction task, we submitted 3 features: Face, Speech, and Music. In the Search task, we developed an interactive video
Browne, Paul +10 more
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Application of Improved DNN Algorithm Based on Feature Fusion in Fine-Grained Image Recognition
IEEE AccessFine-grained image recognition is a research highlight in the computer vision. Compared with traditional image classification tasks, it places more emphasis on distinguishing objects with similar appearance features but belonging to different categories.
Jiongguang Zhu, Wei Zhang
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