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UNLABELED SELECTED SAMPLES IN FEATURE EXTRACTION FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES WITH LIMITED TRAINING SAMPLES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Feature extraction plays a key role in hyperspectral images classification. Using unlabeled samples, often unlimitedly available, unsupervised and semisupervised feature extraction methods show better performance when limited number of training samples ...
A. Kianisarkaleh +2 more
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Face Detection with Effective Feature Extraction [PDF]
, 2010 There is an abundant literature on face detection due to its important role in many vision applications. Since Viola and Jones proposed the first real-time AdaBoost based face detector, Haar-like features have been adopted as the method of choice for ...
C. Huang +10 more
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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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A generic optimising feature extraction method using multiobjective genetic programming [PDF]
, 2011 In this paper, we present a generic, optimising feature extraction method using multiobjective genetic programming. We re-examine the feature extraction problem and show that effective feature extraction can significantly enhance the performance of ...
Rockett, P.I, Zhang, Y.
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Fingerprint Feature Extraction for Indoor Localization
Sensors, 2021 This paper proposes a fingerprint-based indoor localization method, named FPFE (fingerprint feature extraction), to locate a target device (TD) whose location is unknown. Bluetooth low energy (BLE) beacon nodes (BNs) are deployed in the localization area
Jehn-Ruey Jiang +2 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 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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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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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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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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