Results 31 to 40 of about 15,707 (245)
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
Instant Bag-of-Words served on a laptop
Proceedings of the 1st ACM International Conference on Multimedia Retrieval, 2011 This demo showcases our realtime implementation of conceptclassification using the Bag-of-Words method embeddedwithin MediaTable, our interactive categorization toolfor large multimedia collections. MediaTable allows the usersto open images from disk or download these directly fromthe internet. Each image is then processed using the Bagof-Words method,
J.R.R. Uijlings +4 more
openaire +3 more sources
Agglomerative Clustering and Residual-VLAD Encoding for Human Action Recognition
Applied Sciences, 2020 Human action recognition has gathered significant attention in recent years due to its high demand in various application domains. In this work, we propose a novel codebook generation and hybrid encoding scheme for classification of action videos.
Ammar Mohsin Butt +5 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
The influence of preprocessing on text classification using a bag-of-words representation
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.
Yaakov HaCohen-Kerner +2 more
semanticscholar +1 more source
Real-time bag of words, approximately
Proceedings of the ACM International Conference on Image and Video Retrieval, 2009 We start from the state-of-the-art Bag of Words pipeline that in the 2008 benchmarks of TRECvid and PASCAL yielded the best performance scores. We have contributed to that pipeline, which now forms the basis to compare various fast alternatives for all of its components: (i) For descriptor extraction we propose a fast algorithm to densely sample SIFT ...
Uijlings, J.R.R. +2 more
openaire +4 more sources
The Influence of Feature Representation of Text on the Performance of Document Classification
Applied Sciences, 2019 In this paper we perform a comparative analysis of three models for a feature representation of text documents in the context of document classification.
Sanda Martinčić-Ipšić +2 more
doaj +1 more source
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.
Bartosz Zielinski 0001 +4 more
openaire +2 more sources
Semantic Retrieval of Remote Sensing Images Based on the Bag-of-Words Association Mapping Method
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 +1 more source