Results 11 to 20 of about 80,037 (309)
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 ...
Faraki, Masoud +2 more
doaj +6 more sources
Persistence Bag-of-Words for Topological Data Analysis [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Persistent homology (PH) is a rigorous mathematical theory that provides a robust descriptor of data in the form of persistence diagrams (PDs). PDs exhibit, however, complex structure and are difficult to integrate in today's machine learning workflows.
Zieliński, Bartosz +4 more
openaire +3 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
Multi-Document Summarization Using Distributed Bag-of-Words Model [PDF]
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2018 As the number of documents on the web is growing exponentially, multi-document summarization is becoming more and more important since it can provide the main ideas in a document set in short time. In this paper, we present an unsupervised centroid-based document-level reconstruction framework using distributed bag of words model.
Mani, Kaustubh +3 more
openaire +3 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
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
J. Zeng +4 more
semanticscholar +3 more sources
COVID-19 Detection from Cough Recordings Using Bag-of-Words Classifiers. [PDF]
Sensors (Basel), 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 ...
Pavel I, Ciocoiu IB.
europepmc +2 more sources
Semantic Retrieval of Remote Sensing Images Based on the Bag-of-Words Association Mapping Method. [PDF]
Sensors (Basel), 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.
Li J +6 more
europepmc +2 more sources
Human Action Recognition Based on Bag-of-Words
Iraqi Journal of Science, 2020 Human action recognition has gained popularity because of its wide applicability, such as in patient monitoring systems, surveillance systems, and a wide diversity of systems that contain interactions between people and electrical devices, including human computer interfaces.
Riyadh Sahib Abdul Ameer +1 more
openaire +2 more sources
Tuberculosis Detection from Cough Recordings Using Bag-of-Words Classifiers. [PDF]
Sensors (Basel)The 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 ...
Pavel I, Ciocoiu IB.
europepmc +2 more sources