Skip to search formSkip to main contentSkip to account menu

Document-term matrix

Known as: Occurrence matrix, Occurrency matrix, Term-document matrix 
A document-term matrix or term-document matrix is a mathematical matrix that describes the frequency of terms that occur in a collection of documents… 
Wikipedia (opens in a new tab)

Related topics

Related topics

15 relations
Bag-of-words modelCollocationDocumentLatent Dirichlet allocation

Broader (1)

Natural language processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Using wavelet transform and multi-class least square support vector machine in multi-spectral imaging classification of Chinese famous tea
2011
2011
Wildlife video key-frame extraction based on novelty detection in semantic context
There is a growing evidence that visual saliency can be better modeled using top-down mechanisms that incorporate object… 
2008
2008
Directional Analysis of Texture Images Using Gray Level Co-Occurrence Matrix
Direction parameter thetas is one of the important parameters of GLCM (gray level co-occurrence matrix). A fixed angle (such as… 
Highly Cited
2007
Highly Cited
2007
Increasing the discrimination power of the co-occurrence matrix-based features
Highly Cited
2006
Highly Cited
2006
Determining Word Sense Dominance Using a Thesaurus
The degree of dominance of a sense of a word is the proportion of occurrences of that sense in text. We propose four new methods… 
2005
2005
Examining Lacunarity Approaches in Comparison with Fractal and Spatial Autocorrelation Techniques for Urban Mapping
The conventional spectral-based classification techniques have often been criticized due to the lack of consideration of images… 
Highly Cited
1998
Highly Cited
1998
An adaptive texture and shape based defect classification
  • J. IivarinenA. Visa
  • Proceedings. Fourteenth International Conference…
  • 1998
  • Corpus ID: 14682424
In this paper classification of surface defects is considered. The classification system consists of several classifiers whose… 
Highly Cited
1994
Highly Cited
1994
Classification of cervical cell nuclei using morphological segmentation and textural feature extraction
This paper presents preliminary results for the classification of Pap Smear cell nuclei, using gray level co-occurrence matrix… 
Highly Cited
1994
Highly Cited
1994
Local frequency features for texture classification
1989
1989
Robust smoothing methods for discrete hidden Markov models
Three methods for smoothing discrete probability functions in discrete hidden Markov models for large-vocabulary continuous… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)