A new approach for image detection based on refined Bag of Words algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Optik"
DOI: 10.1016/j.ijleo.2017.05.018
Abstract: Abstract This paper presents an efficient image retrieval approach based on enhanced Bag of Words (BOW). By keeping eyes on low classification efficiency and accuracy of existing image retrieval system based on traditional BOW, a… read more here.
Keywords: image; classification; image retrieval; accuracy ... See more keywords
Change detection in rotational speed of industrial machinery using Bag-of-Words based feature extraction from vibration signals
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2019.06.047
Abstract: Abstract Detection of early changes in rotational speed is highly required in on-line process monitoring of industrial manufacturing and numerical controlled machining. This paper proposes a Bag-of-Words (BoW) based feature extraction method that uses vibration… read more here.
Keywords: feature extraction; based feature; rotational speed; bag words ... See more keywords
E2BoWs: An end-to-end Bag-of-Words model via deep convolutional neural network for image retrieval
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.12.069
Abstract: Abstract Traditional Bag-of-Words (BoWs) model is commonly generated with many steps, including local feature extraction, codebook generation and feature quantization, etc. Those steps are relatively independent with each other and are hard to be jointly… read more here.
Keywords: end end; feature; deep convolutional; model ... See more keywords
Deep Image Sensing and Retrieval Using Suppression, Scale Spacing and Division, Interpolation and Spatial Color Coordinates With Bag of Words for Large and Complex Datasets
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2993721
Abstract: Intelligent and efficient image retrieval from versatile image datasets is an inevitable requirement of the current era. Primitive image signatures are vital to reflect the visual attributes for content based image retrieval (CBIR). Algorithmically descriptive… read more here.
Keywords: color; scale; image; interpolation ... See more keywords
TSO-BoW: Accurate Long-Term Loop Closure Detection With Constant Query Time via Online Bag of Words and Trajectory Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3550799
Abstract: This letter presents TSO-BoW, a lightweight trajectory segmentation-based Bag-of-Words algorithm for loop closure detection, utilizing intermittent online training for collected segments. In the online training phase, segments of collected data form sub-trajectories that are used… read more here.
Keywords: detection; long term; query time; bag words ... See more keywords
A novel method for differentiating and clustering multiple partial discharge sources using S transform and bag of words feature
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Dielectrics and Electrical Insulation"
DOI: 10.1109/tdei.2017.006758
Abstract: Transformers are known as one of the most important equipment in power system transmission and distribution networks. Partial Discharge (PD) measurement and PRPD interpretation is a powerful tool to monitor the situation and evaluating the… read more here.
Keywords: discharge sources; discharge; bag words; partial discharge ... See more keywords
COVID-19 Detection from Cough Recordings Using Bag-of-Words Classifiers
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DOI: 10.3390/s23114996
Abstract: 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… read more here.
Keywords: bag words; detection; using bag; cough recordings ... See more keywords