Results 1 to 10 of about 530,080 (274)
Spatio-Temporal Scale Coded Bag-of-Words [PDF]
Sensors, 2020 The Bag-of-Words (BoW) framework has been widely used in action recognition tasks due to its compact and efficient feature representation. Various modifications have been made to this framework to increase its classification power.
Divina Govender, Jules-Raymond Tapamo
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COVID-19 Detection from Cough Recordings Using Bag-of-Words Classifiers [PDF]
Sensors, 2023 Reliable detection of COVID-19 from cough recordings is evaluated using bag-of-words classifiers. The effect of using four distinct feature extraction procedures and four different encoding strategies is evaluated in terms of the Area Under Curve (AUC ...
Irina Pavel, Iulian B. Ciocoiu
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Semantic Retrieval of Remote Sensing Images Based on the Bag-of-Words Association Mapping Method [PDF]
Sensors, 2023 With the increasing demand for remote sensing image applications, extracting the required images from a huge set of remote sensing images has become a hot topic.
Jingwen Li +6 more
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Tuberculosis Detection from Cough Recordings Using Bag-of-Words Classifiers [PDF]
SensorsThe paper proposes the use of Bag-of-Words classifiers for the reliable detection of tuberculosis infection from cough recordings. The effect of using both independent and combined distinct feature extraction procedures and encoding strategies is ...
Irina Pavel, Iulian B. Ciocoiu
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Persistence Bag-of-Words for Topological Data Analysis [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Persistent homology (PH) is a rigorous mathematical theory that provides a robust descriptor of data in the form of persistence diagrams (PDs). PDs exhibit, however, complex structure and are difficult to integrate in today's machine learning workflows ...
Dłotko, Paweł +4 more
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Log‐Euclidean bag of words for human action recognition
IET Computer Vision, 2015 Representing videos by densely extracted local space–time features has recently become a popular approach for analysing actions. In this study, the authors tackle the problem of categorising human actions by devising bag of words (BoWs) models based on ...
Masoud Faraki +2 more
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Image Reconstruction from Bag-of-Visual-Words [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2015 The objective of this work is to reconstruct an original image from Bag-of-Visual-Words (BoVW). Image reconstruction from features can be a means of identifying the characteristics of features.
Harada, Tatsuya, Kato, Hiroharu
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Classification of Non-Conventional Ships Using a Neural Bag-Of-Words Mechanism [PDF]
Sensors, 2020 The existing methods for monitoring vessels are mainly based on radar and automatic identification systems. Additional sensors that are used include video cameras.
Dawid Polap, Marta Wlodarczyk-Sielicka
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Albanian Text Classification: Bag of Words Model and Word Analogies [PDF]
Business Systems Research, 2019 Background: Text classification is a very important task in information retrieval. Its objective is to classify new text documents in a set of predefined classes, using different supervised algorithms.
Kadriu Arbana, Abazi Lejla, Abazi Hyrije
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Online Social Spammer Detection Based on Deep Learning [PDF]
Nongye tushu qingbao xuebao, 2023 [Purpose/Significance] The development of the Internet has led to the rapid development of social networks, providing users with a convenient channel for the release, dissemination and acceptance of information. However, its low-threshold characteristics
ZHANG Jiyang, ZHANG Peng, GONG Siyu, SONG Naipeng
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