Results 21 to 30 of about 500,210 (263)
Plant leaf tooth feature extraction.
PLoS ONE, 2019 Leaf tooth can indicate several systematically informative features and is extremely useful for circumscribing fossil leaf taxa. Moreover, it can help discriminate species or even higher taxa accurately.
Hu Wang +4 more
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Journal of Robotics and Mechatronics, 1997 We take various information from the outside world into our brain by moving our eyes in every direction and sounds EEG contain basic rhythms of the brain, such as alpha waves, and components, such as myoelectric potentials. The results of the simulation indicated that the use of multiple windows would raise the accuracy in the detection of time delays ...
Ichiro Hamamoto +3 more
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Advancements in Research on Micro-motion Feature Extraction in the Terahertz Region
Leida xuebao, 2018 With years of development and accumulation, a considerable amount of research has focused on micro-motion, an important auxiliary feature in radar target detection and recognition. With the recent rise of terahertz, micro-motion feature extraction in the
Yang Qi +3 more
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Feature Extraction for Finger-Vein-Based Identity Recognition
Journal of Imaging, 2021 This paper aims to provide a brief review of the feature extraction methods applied for finger vein recognition. The presented study is designed in a systematic way in order to bring light to the scientific interest for biometric systems based on finger ...
George K. Sidiropoulos +3 more
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Feature Extraction in Speechreading
Journal of Software, 2010 To solve the problem of feature extraction in speechreading, several appearance-based feature extraction method are compared and a new improved LDA algorithm is proposed in this paper. I n speech or speechreading recognition application, Linear Discriminant Analysis (LDA) usually choose syllable 、 HMM state or other units as class ...
Jun He, Hua Zhang
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An Algebra for Feature Extraction [PDF]
Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 1: Long Papers), 2017 Though feature extraction is a necessary first step in statistical NLP, it is often seen as a mere preprocessing step. Yet, it can dominate computation time, both during training, and especially at deployment. In this paper, we formalize feature extraction from an algebraic perspective.
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Text feature extraction based on deep learning: a review
EURASIP Journal on Wireless Communications and Networking, 2017 Selection of text feature item is a basic and important matter for text mining and information retrieval. Traditional methods of feature extraction require handcrafted features. To hand-design, an effective feature is a lengthy process, but aiming at new
Hong Liang +3 more
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UAT: Universal Attention Transformer for Video Captioning
Sensors, 2022 Video captioning via encoder–decoder structures is a successful sentence generation method. In addition, using various feature extraction networks for extracting multiple features to obtain multiple kinds of visual features in the encoding process is a ...
Heeju Im, Yong-Suk Choi
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Triple-Type Feature Extraction for Palmprint Recognition
Sensors, 2021 Palmprint recognition has received tremendous research interests due to its outstanding user-friendliness such as non-invasive and good hygiene properties.
Lian Wu +5 more
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Coloring Local Feature Extraction [PDF]
, 2006 Although color is commonly experienced as an indispensable quality in describing the world around us, state-of-the art local feature-based representations are mostly based on shape description, and ignore color information. The description of color is hampered by the large amount of variations which causes the measured color values to vary ...
Joost van de Weijer 0001 +1 more
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