Results 1 to 10 of about 15,707 (245)
Curvature Bag of Words Model for Shape Recognition [PDF]
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
J. Zeng +4 more
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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.
I. Calota, D. Faur, M. Datcu
semanticscholar +2 more sources
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.
Paweł Cichosz
semanticscholar +2 more sources
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. This often results in an increased complexity and reduced efficiency.
Divina Govender, Jules-Raymond Tapamo
openaire +4 more sources
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
semanticscholar +3 more sources
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
semanticscholar +3 more sources
COVID-19 Detection from Cough Recordings Using Bag-of-Words Classifiers
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
exaly +3 more sources
Fuzzy Information Retrieval Based on Continuous Bag-of-Words Model
Symmetry, 2020 In this paper, we study the feasibility of performing fuzzy information retrieval by word embedding. We propose a fuzzy information retrieval approach to capture the relationships between words and query language, which combines some techniques of deep ...
Dong Qiu, Qiu Dong
exaly +2 more sources
Log‐Euclidean bag of words for human action recognition [PDF]
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 covariance matrices of spatiotemporal features, with the features formed from histograms of optical ...
Masoud Faraki +2 more
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Bag-of-Words as Target for Neural Machine Translation [PDF]
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2018 A sentence can be translated into more than one correct sentences. However, most of the existing neural machine translation models only use one of the correct translations as the targets, and the other correct sentences are punished as the incorrect ...
Shuming Ma +3 more
semanticscholar +4 more sources