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Bag-of-words model

Known as: Bow, Bag-of-words, Continuous bag-of-words 
The bag-of-words model is a simplifying representation used in natural language processing and information retrieval (IR). In this model, a text… Expand
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Papers overview

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Review
2018
Review
2018
Abstract Automatic text classification is the task of organizing documents into pre-determined classes, generally using machine… Expand
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Highly Cited
2016
Highly Cited
2016
The blind application of machine learning runs the risk of amplifying biases present in data. Such a danger is facing us with… Expand
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2014
2014
Sentiment analysis on social networks has attracted ever increasing attention in recent years. To this end, most existing methods… Expand
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Highly Cited
2012
Highly Cited
2012
We introduce UCF101 which is currently the largest dataset of human actions. It consists of 101 action classes, over 13k clips… Expand
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Highly Cited
2011
Highly Cited
2011
This paper presents a novel and real-time system for interaction with an application or video game via hand gestures. Our system… Expand
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Highly Cited
2011
Highly Cited
2011
Previous work on action recognition has focused on adapting hand-designed local features, such as SIFT or HOG, from static images… Expand
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Highly Cited
2010
Highly Cited
2010
  • Yin Zhang, Rong Jin, Z. Zhou
  • Int. J. Mach. Learn. Cybern.
  • 2010
  • Corpus ID: 12255087
The bag-of-words model is one of the most popular representation methods for object categorization. The key idea is to quantize… Expand
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Highly Cited
2009
Highly Cited
2009
This paper presents and compares WordNet-based and distributional similarity approaches. The strengths and weaknesses of each… Expand
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Highly Cited
2007
Highly Cited
2007
In this paper we introduce a 3-dimensional (3D) SIFT descriptor for video or 3D imagery such as MRI data. We also show how this… Expand
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Highly Cited
2007
Highly Cited
2007
We present a novel model for human action categorization. A video sequence is represented as a collection of spatial and spatial… Expand
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