Results 11 to 20 of about 530,080 (274)
Decomposing Bag of Words Histograms [PDF]
2013 IEEE International Conference on Computer Vision, 2013 We aim to decompose a global histogram representation of an image into histograms of its associated objects and regions. This task is formulated as an optimization problem, given a set of linear classifiers, which can effectively discriminate the object categories present in the image.
Gandhi, Ankit +2 more
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Bag of ARSRG Words (BoAW) [PDF]
Machine Learning and Knowledge Extraction, 2019 In recent years researchers have worked to understand image contents in computer vision. In particular, the bag of visual words (BoVW) model, which describes images in terms of a frequency histogram of visual words, is the most adopted paradigm. The main drawback is the lack of information about location and the relationships between features. For this
Mario Manzo, Simone Pellino
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Bayesian Sentiment Analytics for Emerging Trends in Unstructured Data Streams [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2019 Today the computational study of people’s opinion expressed in free form written text is called the field of sentiment analysis and opinion mining. Various research areas such as Natural Language Processing, Data Mining, Text Mining lie in field of ...
Najam Sahar +2 more
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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
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More than Bags of Words: Sentiment Analysis with Word Embeddings [PDF]
Communication Methods and Measures, 2018 Moving beyond the dominant bag-of-words approach to sentiment analysis we introduce an alternative procedure based on distributed word embeddings. The strength of word embeddings is the ability to capture similarities in word meaning. We use word embeddings as part of a supervised machine learning procedure which estimates levels of negativity in ...
Elena Rudkowsky +5 more
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Bag-of-Words for Transfer Learning
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021 Although the number of labeled datasets in Earth Observation (EO) is increasing, there is still a major gap between the Deep Learning (DL) classifiers designed in this field versus the models in Computer Vision. This gap is produced mainly by the number of datasets available, but also by the diversity of data.
Iulian, Calota +2 more
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Tolerance Rough Set-Based Bag-of-Words Model for Document Representation
International Journal of Computational Intelligence Systems, 2020 Document representation is one of the foundations of natural language processing. The bag-of-words (BoW) model, as the representative of document representation models, is a method with the properties of simplicity and validity.
Dong Qiu, Haihuan Jiang, Ruiteng Yan
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Network-Based Bag-of-Words Model for Text Classification
IEEE Access, 2020 The rapidly developing internet and other media have produced a tremendous amount of text data, making it a challenging and valuable task to find a more effective way to analyze text data by machine. Text representation is the first step for a machine to
Dongyang Yan +3 more
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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
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Curvature Bag of Words Model for Shape Recognition
IEEE Access, 2019 The object shape recognition of nonrigid transformations and local deformations is a difficult problem. In this paper, a shape recognition algorithm based on the curvature bag of words (CBoW) model is proposed to solve that problem. First, an approximate
Jiexian Zeng +4 more
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