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Bag-of-Words for Transfer Learning [PDF]
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021 Although the number of labeled datasets in Earth Observation (EO) is increasing, there is still a major gap between the Deep Learning (DL) classifiers designed in this field versus the models in Computer Vision. This gap is produced mainly by the number of datasets available, but also by the diversity of data.
Iulia Calota, Daniela Faur, Mihai Datcu
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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 ...
Iulian B Ciocoiu
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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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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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Bag of ARSRG Words (BoAW) [PDF]
Machine Learning and Knowledge Extraction, 2019 In recent years researchers have worked to understand image contents in computer vision. In particular, the bag of visual words (BoVW) model, which describes images in terms of a frequency histogram of visual words, is the most adopted paradigm. The main drawback is the lack of information about location and the relationships between features. For this
Mario Manzo, Simone Pellino
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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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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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Decomposing Bag of Words Histograms [PDF]
2013 IEEE International Conference on Computer Vision, 2013 We aim to decompose a global histogram representation of an image into histograms of its associated objects and regions. This task is formulated as an optimization problem, given a set of linear classifiers, which can effectively discriminate the object categories present in the image.
Ankit Gandhi +2 more
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