Results 31 to 40 of about 77,994 (293)
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
Balinese Mask Characters Classification using Bag of Visual Words Model
Journal of Electrical, Electronics and Informatics, 2021 Mask, often known by Balinese as “Tapel”, is made of pule wood. It depicts the representation of characters in the “badbad” or legend. Bali has many types of mask dances that are often performed, which makes tourists interested in visiting Bali ...
Komang Budiarta +2 more
doaj +1 more source
Improving Bag-of-Words model with spatial information [PDF]
, 2010 Bag-of-Words (BOW) models have recently become popular for the task of object recognition, owing to their good performance and simplicity. Much work has been proposed over the years to improve the BOW model, where the Spatial Pyramid Matching technique ...
Mayo, Michael, Zhang, Edmond Yiwen
core +2 more sources
Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study
North American Chapter of the Association for Computational Linguistics, 2021 Sequential information, a.k.a., orders, is assumed to be essential for processing a sequence with recurrent neural network or convolutional neural network based encoders. However, is it possible to encode natural languages without orders?
Chongyang Tao +5 more
semanticscholar +1 more source
Feature Selection for Location Metonymy Using Augmented Bag-of-Words
IEEE Access, 2022 Location metonymy resolution is a study that deals with locations being used in a non-literal way that create problems in several natural language processing tasks such as Named entity recognition and Geographical parsing.
Muhammad Elyas Meguellati +4 more
doaj +1 more source
Defect Recognition in Radioscopic Image Sequences based on Bag-of-Words
Journal of Physics: Conference Series, 2021 Digital X-ray real-time imaging is a new technology in non-destructive detection using image sequences. At present, manual identification of defects is mainly used in practice, which is expertise-dependent and prone to errors.
Fan Chang, Fumin Chen, Kaixuan Tang
semanticscholar +1 more source
Emotion Recognition from Speech Using the Bag-of-Visual Words on Audio Segment Spectrograms
Technologies, 2019 It is noteworthy nowadays that monitoring and understanding a human’s emotional state plays a key role in the current and forthcoming computational technologies.
Evaggelos Spyrou +3 more
doaj +1 more source
An enhanced method for human action recognition
Journal of Advanced Research, 2015 This paper presents a fast and simple method for human action recognition. The proposed technique relies on detecting interest points using SIFT (scale invariant feature transform) from each frame of the video.
Mona M. Moussa +3 more
doaj +1 more source
Efficient Decentralized Visual Place Recognition From Full-Image Descriptors [PDF]
, 2017 In this paper, we discuss the adaptation of our decentralized place recognition method described in [1] to full image descriptors. As we had shown, the key to making a scalable decentralized visual place recognition lies in exploting deterministic key ...
Cieslewski, Titus, Scaramuzza, Davide
core +2 more sources