Results 1 to 10 of about 528,886 (272)
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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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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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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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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Bayesian Sentiment Analytics for Emerging Trends in Unstructured Data Streams [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2019 Today the computational study of people’s opinion expressed in free form written text is called the field of sentiment analysis and opinion mining. Various research areas such as Natural Language Processing, Data Mining, Text Mining lie in field of ...
Najam Sahar +2 more
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Balinese Mask Characters Classification using Bag of Visual Words Model
Journal of Electrical, Electronics and Informatics, 2021 Mask, often known by Balinese as “Tapel”, is made of pule wood. It depicts the representation of characters in the “badbad” or legend. Bali has many types of mask dances that are often performed, which makes tourists interested in visiting Bali ...
Komang Budiarta +2 more
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Tolerance Rough Set-Based Bag-of-Words Model for Document Representation
International Journal of Computational Intelligence Systems, 2020 Document representation is one of the foundations of natural language processing. The bag-of-words (BoW) model, as the representative of document representation models, is a method with the properties of simplicity and validity.
Dong Qiu, Haihuan Jiang, Ruiteng Yan
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