Results 11 to 20 of about 52,386 (322)
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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Softening quantization in bag-of-audio-words [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 The audio component of multimedia data can be crucial for multimedia content analysis. Bag-of-audio-words (BoAW) approach is one of the most frequently used methods to represent audio content in multimedia event detection and related tasks. The method, however, has numerous criticisms, amongst which is the loss of information in the “vector ...
Pancoast, Stephanie, Akbacak, Murat
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Network-Based Bag-of-Words Model for Text Classification
IEEE Access, 2020 The rapidly developing internet and other media have produced a tremendous amount of text data, making it a challenging and valuable task to find a more effective way to analyze text data by machine. Text representation is the first step for a machine to
Dongyang Yan +3 more
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Bag of Words and Embedding Text Representation Methods for Medical Article Classification
International Journal of Applied Mathematics and Computer Science, 2023 Text classification has become a standard component of automated systematic literature review (SLR) solutions, where articles are classified as relevant or irrelevant to a particular literature study topic.
Cichosz Paweł
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Curvature Bag of Words Model for Shape Recognition
IEEE Access, 2019 The object shape recognition of nonrigid transformations and local deformations is a difficult problem. In this paper, a shape recognition algorithm based on the curvature bag of words (CBoW) model is proposed to solve that problem. First, an approximate
Jiexian Zeng +4 more
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Active Learning for Medical Article Classification with Bag of Words and Bag of Concepts Embeddings
Applied SciencesSystems supporting systematic literature reviews often use machine learning algorithms to create classification models to assess the relevance of articles to study topics.
Radosław Pytlak +3 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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Video matching method based on "bag of words"
Tongxin xuebao, 2007 A "bag of words" was presented based method for video representation and matching.First,all local features of all video frames were quantized into a dictionary of visual words.Then each sub-shot of the video was represented by a set of visual words ...
LI Yuan-ning1 +3 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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Albanian Text Classification: Bag of Words Model and Word Analogies
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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