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ECG biometrics using bag-of-words models
2015 International Symposium on Signals, Circuits and Systems (ISSCS), 2015The paper identifies the effects of key design elements of bag-of-words models on the classification accuracy of ECG time series. Combinations of distinct encoding procedures, pooling methods, and classification strategies are tested in order to find best scenarios under which performances may be optimized.
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Class-Based Color Bag of Words for Fashion Retrieval
2012 IEEE International Conference on Multimedia and Expo, 2012Color signatures, histograms and bag of colors are basic and effective strategies for describing the color content of images, for retrieving images by their color appearance or providing color annotation. In some domains, colors assume a specific meaning for users and the color-based classification and retrieval should mirror the initial suggestions ...
GRANA, Costantino +2 more
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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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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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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 ...
Amna 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 ...
Amna Sarwar +5 more
semanticscholar +1 more source
Clinical Text Classification with Word Embedding Features vs. Bag-of-Words Features
2018 IEEE International Conference on Big Data (Big Data), 2018Word embedding motivated by deep learning have shown promising results over traditional bag-of-words features for natural language processing. When trained on large text corpora, word embedding methods such as word2vec and doc2vec methods have the ...
Y. Shao +4 more
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Improved bags-of-words algorithm for scene recognition
2010 2nd International Conference on Signal Processing Systems, 2010This paper proposes an effective method to scene recognition based on bags-of-words (BoW) algorithm. Current scene classification methods usually treat all the codewords equally important when using BoW histogram to represent an image. This assumption, however, does not comply with many real-world conditions as different codewords usually have ...
Jiang Hao, Xu Jie
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A Bag of Words Approach for 3D Object Categorization
2009In this paper we propose a novel framework for 3D object categorization. The object is modeled it in terms of its sub-parts as an histogram of 3D visual word occurrences. We introduce an effective method for hierarchical 3D object segmentation driven by the minima rule that combines spectral clustering --- for the selection of seed-regions --- with ...
Toldo, R. +2 more
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Fuzzy bag of words for social image description
Multimedia Tools and Applications, 2014Rapid growth of social media resources brings huge challenges and opportunities for image description technologies. The performance of image description method directly affects the accuracy of image retrieval, image annotation and image recognition. Bag of Words (BoW) as an efficient approach to describing the images has been attracting more and more ...
Li, Yanshan +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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