Results 1 to 10 of about 43,536 (152)
Spatio-Temporal Scale Coded Bag-of-Words. [PDF]
Sensors (Basel), 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. This often results in an increased complexity and reduced efficiency.
Govender D, Tapamo JR.
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The influence of preprocessing on text classification using a bag-of-words representation. [PDF]
PLoS One, 2020 Text classification (TC) is the task of automatically assigning documents to a fixed number of categories. TC is an important component in many text applications. Many of these applications perform preprocessing.
HaCohen-Kerner Y, Miller D, Yigal Y.
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Classification of Non-Conventional Ships Using a Neural Bag-Of-Words Mechanism. [PDF]
Sensors (Basel), 2020 The existing methods for monitoring vessels are mainly based on radar and automatic identification systems. Additional sensors that are used include video cameras.
Polap D, Wlodarczyk-Sielicka M.
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Bag-of-Words for Transfer Learning
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.
Iulian, Calota +2 more
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Bag-of-Words Technique in Natural Language Processing: A Primer for Radiologists. [PDF]
Radiographics, 2021 Juluru K +3 more
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Political Analysis, 2018 Automated text analysis allows researchers to analyze large quantities of text. Yet, comparative researchers are presented with a big challenge: across countries people speak different languages.
Erik de Vries +2 more
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Bag-of-words representation for biomedical time series classification [PDF]
Biomedical Signal Processing and Control, 2013 Automatic analysis of biomedical time series such as electroencephalogram (EEG) and electrocardiographic (ECG) signals has attracted great interest in the community of biomedical engineering due to its important applications in medicine. In this work, a simple yet effective bag-of-words representation that is able to capture both local and global ...
Jin Wang, Saeid Nahavandi, Abbas Kouzani
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Fuzzy Bag-of-Words Model for Document Representation
IEEE Transactions on Fuzzy Systems, 2018 One key issue in text mining and natural language processing is how to effectively represent documents using numerical vectors. One classical model is the Bag-of-Words (BoW). In a BoW-based vector representation of a document, each element denotes the normalized number of occurrence of a basis term in the document.
Rui Zhao, Kezhi Mao
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Semantics-Preserving Bag-of-Words Models and Applications
IEEE Transactions on Image Processing, 2010 The Bag-of-Words (BoW) model is a promising image representation technique for image categorization and annotation tasks. One critical limitation of existing BoW models is that much semantic information is lost during the codebook generation process, an important step of BoW.
Steven C H Hoi
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Multimodal Bag-of-Words for Cross Domains Sentiment Analysis [PDF]
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 The advantages of using cross domain data when performing text-based sentiment analysis have been established; however, similar findings have yet to be observed when performing multimodal sentiment analysis. A potential reason for this is that systems based on feature extracted from speech and facial features are susceptible to confounding effecting ...
Cummins, Nicholas +5 more
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