Results 211 to 220 of about 15,707 (245)
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Two improved continuous bag-of-word models
2017 International Joint Conference on Neural Networks (IJCNN), 2017Data representation is a fundamental task in machine learning, which affects the performance of the whole machine learning system. In the past few years, with the rapid development of deep learning, the models for word embedding based on neural networks have brought new inspiration to the research of natural language processing.
Qi Wang, Jungang Xu, Hong Chen, Ben He
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Comparing Bag of Words and TF-IDF with different models for hate speech detection from live tweets
International journal of information technology, 2022S. Akuma, Tyosar Lubem, Isaac Adom
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Journal of information science, 2018
The advancements in the multimedia technologies result in the growth of the image databases. To retrieve images from such image databases using visual attributes of the images is a challenging task due to the close visual appearance among the visual ...
A. Sarwar +5 more
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The advancements in the multimedia technologies result in the growth of the image databases. To retrieve images from such image databases using visual attributes of the images is a challenging task due to the close visual appearance among the visual ...
A. Sarwar +5 more
semanticscholar +1 more source
Expanded bag of words representation for object classification
2009 16th IEEE International Conference on Image Processing (ICIP), 2009Currently, the bag of visual words (BOW) representation has received wide applications in object categorization. However, the BOW representation ignores the dependency relationship among visual words, which could provide informative knowledge to understand an image.
Tinglin Liu +3 more
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Robust Vehicle Detection in Aerial Images Using Bag-of-Words and Orientation Aware Scanning
IEEE Transactions on Geoscience and Remote Sensing, 2018This paper presents a novel approach to automatically detect and count cars in different aerial images, which can be satellite or unmanned aerial vehicle (UAV) images.
Hailing Zhou +4 more
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Vehicle logo recognition based on Bag-of-Words
2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013The recognition of vehicle manufacturer logo is a crucial and very challenging problem, which is still an area with few published effective methods. This paper proposes a new fast and reliable system for Vehicle Logo Recognition (VLR) based on Bag-of-Words (BoW).
Shuyuan Yu +3 more
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ACM SIGIR Forum, 2008
Current state of the art information retrieval models treat documents and queries as bags of words. There have been many attempts to go beyond this simple representation. Unfortunately, few have shown consistent improvements in retrieval effectiveness across a wide range of tasks and data sets.
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Current state of the art information retrieval models treat documents and queries as bags of words. There have been many attempts to go beyond this simple representation. Unfortunately, few have shown consistent improvements in retrieval effectiveness across a wide range of tasks and data sets.
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Local Deep Descriptors in Bag-of-Words for Image Retrieval
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, 2017The Bag-of-Words (BoW) models using the SIFT descriptors have achieved great success in content-based image retrieval over the past decade. Recent studies show that the neuron activations of the convolutional neural networks (CNN) can be viewed as local descriptors, which can be aggregated into effective global descriptors for image retrieval. However,
Jiewei Cao, Zi Huang, Heng Tao Shen
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The Impact of Color on Bag-of-Words Based Object Recognition
2010 20th International Conference on Pattern Recognition, 2010In recent years several works have aimed at exploiting color information in order to improve the bag-of-words based image representation. There are two stages in which color information can be applied in the bag-of-words framework. Firstly, feature detection can be improved by choosing highly informative color-based regions.
David Augusto Rojas Vigo +3 more
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Saliency-based fabric defect detection via bag-of-words model
Signal, Image and Video Processing, 2022Maria Kanwal +3 more
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