Similarity measure

Known as: Similarity, Similarity function, Similarity matrix 
In statistics and related fields, a similarity measure or similarity function is a real-valued function that quantifies the similarity between two… (More)
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Papers overview

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Highly Cited
2009
Highly Cited
2009
Graph-based semi-supervised learning has gained considerable interests in the past several years thanks to its effectiveness in… (More)
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Highly Cited
2007
Highly Cited
2007
Measuring the semantic similarity between words is an important component in various tasks on the web such as relation extraction… (More)
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Highly Cited
2005
Highly Cited
2005
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds… (More)
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Highly Cited
2002
Highly Cited
2002
The problem of measuring "similarity" of objects arises in many applications, and many domain-specific measures have been… (More)
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Highly Cited
2002
Highly Cited
2002
(MATH) A locality sensitive hashing scheme is a distribution on a family $\F$ of hash functions operating on a collection of… (More)
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Highly Cited
2000
Highly Cited
2000
ÐA cognitively motivated similarity measure is presented and its properties are analyzed with respect to retrieval of similar… (More)
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Highly Cited
1999
Highly Cited
1999
With complex multimedia data, we see the emergence of database systems in which the fundamental operation is similarity… (More)
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Highly Cited
1998
Highly Cited
1998
Over the last five years, new “voxel-based” approaches have allowed important progress in multimodal image registration, notably… (More)
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Highly Cited
1997
Highly Cited
1997
This paper presents a new approach for measuring semantic similarity/distance between words and concepts. It combines a lexical… (More)
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Highly Cited
1973
Highly Cited
1973
A nonparametric clustering technique incorporating the concept of similarity based on the sharing of near neighbors is presented… (More)
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