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Developing a comprehensive framework for multimodal feature extraction
, 2017 Feature extraction is a critical component of many applied data science workflows. In recent years, rapid advances in artificial intelligence and machine learning have led to an explosion of feature extraction tools and services that allow data ...
de la Vega, Alejandro +2 more
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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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Multi-Label Feature Extraction Method Relied on Feature-Label Dependence Auto-encoder
Jisuanji kexue yu tansuo, 2020 In multi-label learning, how to deal with high-dimensional features has always been one of the research difficulties. The feature extraction algorithm can effectively solve the problem of classification performance degra-dation caused by high ...
CHENG Yusheng, LI Zhiwei, PANG Shufang
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An analysis of Feature extraction and Classification Algorithms for Dangerous Object Detection [PDF]
, 2017 One of the important practical applications of object detection and image classification can be for security enhancement. If dangerous objects e.g. knives can be identified automatically, then a lot of violence can be prevented. For this purpose, various
HASAN, Mohammad, Kibria, Sakib B.
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Meitan xuebaoThe SURF (Speed Up Robust Features) feature extraction algorithm and FLANN (Fast Library or Approximate Nearest Neighbors) feature matching algorithm in current video stitching technology have the problems of feature point extraction errors and low ...
Qinghua MAO +3 more
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Jurnal Ilmiah SINERGI, 2020 This research discusses the detection of embryonic eggs using the k-means clustering method based on statistical feature extraction. The processes that occur in detection are image acquisition, image enhancement, feature extraction, and identification ...
Shoffan Saifullah
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Efficient Deep Feature Learning and Extraction via StochasticNets
, 2015 Deep neural networks are a powerful tool for feature learning and extraction given their ability to model high-level abstractions in highly complex data.
Fieguth, Paul +3 more
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Transport Model for Feature Extraction
SIAM Journal on Mathematics of Data Science, 2021 We present a new feature extraction method for complex and large datasets, based on the concept of transport operators on graphs. The proposed approach generalizes and extends the many existing data representation methodologies built upon diffusion processes, to a new domain where dynamical systems play a key role.
Wojciech Czaja +3 more
openaire +2 more sources
LV-FeatEx: Large Viewpoint-Image Feature Extraction
MathematicsMaintaining stable image feature extraction under viewpoint changes is challenging, particularly when the angle between the camera’s reverse direction and the object’s surface normal exceeds 40 degrees.
Yukai Wang +5 more
doaj +1 more source
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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