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… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1980-2017
010020019802017

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Digital image libraries and other multimedia databases have been dramatically expanded in recent years. In order to effectively… (More)
  • figure 1
  • figure 2
  • figure 4
  • figure 3
  • figure 5
Is this relevant?
Highly Cited
2010
Highly Cited
2010
This paper presents a novel image feature representation method, called multi-texton histogram (MTH), for image retrieval. MTH… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2010
2010
This paper introduces a new description-centric algorithm for web document clustering based on Memetic Algorithms with Niching… (More)
  • figure 1
  • figure 3
  • table 1
  • table 2
  • figure 7
Is this relevant?
Highly Cited
2009
Highly Cited
2009
Given an uncharacterized protein sequence, how can we identify whether it is a G-protein-coupled receptor (GPCR) or not? If it is… (More)
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2008
Highly Cited
2008
A procedure for the calculation of a texture-derived built-up presence index (PanTex) from textural characteristics of… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2007
Highly Cited
2007
The world wide web contains rich textual contents that areinterconnected via complex hyperlinks. This huge database violates the… (More)
  • figure 1
  • figure 3
  • table 1
  • table 3
  • table 4
Is this relevant?
Highly Cited
2006
Highly Cited
2006
A wide range of computational kernels in data mining and information retrieval from text collections involve techniques from… (More)
Is this relevant?
Highly Cited
2004
Highly Cited
2004
We present an unsupervised technique for detecting unusual activity in a large video set using many simple features. No complex… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 4
Is this relevant?
Highly Cited
2003
Highly Cited
2003
In this paper, we propose a novel document clustering method based on the non-negative factorization of the term-document matrix… (More)
  • figure 1
  • figure 2
  • table 1
  • table 2
  • table 3
Is this relevant?
Highly Cited
1998
Highly Cited
1998
Computed tomography (CT) images have been widely used for liver disease diagnosis. Designing and developing computer-assisted… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 6
Is this relevant?