Global and local exploitation for saliency using bag‐of‐words
IET Computer Vision, 2014 The guidance of attention helps human vision system to detect objects rapidly. In this study, the authors present a new saliency detection algorithm by using bag‐of‐words (BOW) representation.
Zhenzhu Zheng, Yun Zhang, Luxin Yan
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
BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM [PDF]
IEEE Robotics and Automation Letters, 2022 Loop closing is a fundamental part of simultaneous localization and mapping (SLAM) for autonomous mobile systems. In the field of visual SLAM, bag of words (BoW) has achieved great success in loop closure.
Yunge Cui +5 more
semanticscholar +1 more source
Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Graph neural networks have triggered a resurgence of graph-based text classification methods, defining today’s state of the art. We show that a wide multi-layer perceptron (MLP) using a Bag-of-Words (BoW) outperforms the recent graph-based models TextGCN
Lukas Galke Poech, A. Scherp
semanticscholar +1 more source
Continuous-bag-of-words and Skip-gram for word vector training and text classification
Journal of Physics: Conference Series, 2023 Natural language processing is one of the most challenging parts in the study of artificial intelligence and is widely used in real-life applications. One of the basic questions is how to calculate the probability of a particular text sequence appearing ...
Haowen Xia
semanticscholar +1 more source
Machine Learning Model for Language Classification: Bag-of-words and Multilayer Perceptron
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING, 2023 The availability of data today has become a great asset for research that is used for various purposes such as for machine learning. One of the basic machine learning methods for natural language processing is bag-of-words.
Devi Hawana Lubis +2 more
semanticscholar +1 more source
International Journal of Network Management, 2023 In terms of cyber security, log files represent a rich source of information regarding the state of a computer service/system. Automating the process of summarizing log file content represents an important aid for decision‐making, especially given the 24/
Ziyu Qiu +6 more
semanticscholar +1 more source
Lexical Ambiguity in Political Rhetoric: Why Morality Doesn't Fit in a Bag of Words
British Journal of Political Science, 2023 How do politicians use moral appeals in their rhetoric? Previous research suggests that morality plays an important role in elite communication and that the endorsement of specific values varies systematically across the ideological spectrum.
Patrick W. Kraft, Robert Klemmensen
semanticscholar +1 more source
A Novel Evolving Sentimental Bag-of-Words Approach for Feature Extraction to Detect Misinformation
International Journal of Advanced Computer Science and Applications, 2022 —The state-of-the-art misinformation detection techniques mainly focus on static datasets. However, a massive amount of information is generated online and the websites are flooded with this legitimate information and misinformation.
Y. Barve +3 more
semanticscholar +1 more source
VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Text-to-image retrieval is an essential task in cross-modal information retrieval, i.e., retrieving relevant images from a large and unlabelled dataset given textual queries. In this paper, we propose VisualSparta, a novel (Visual-text Sparse Transformer
Xiaopeng Lu, Tiancheng Zhao, Kyusong Lee
semanticscholar +1 more source