Results 1 to 10 of about 77,994 (293)
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
doaj +5 more sources
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
doaj +3 more sources
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 ...
Irina Pavel, Iulian B. Ciocoiu
doaj +2 more sources
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
doaj +2 more sources
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.
europepmc +2 more sources
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
doaj +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.
Cichosz Paweł
doaj +2 more sources
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.
I. Calota, D. Faur, M. Datcu
semanticscholar +2 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
doaj +2 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
Jiexian Zeng +4 more
doaj +2 more sources