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ICMCS
2006
IEEE
145views Multimedia» more  ICMCS 2006»
15 years 3 months ago
A New Study on Distance Metrics as Similarity Measurement
Distance metric is widely used in similarity estimation. In this paper we find that the most popular Euclidean and Manhattan distance may not be suitable for all data distribution...
Jie Yu, Jaume Amores, Nicu Sebe, Qi Tian
MM
2009
ACM
199views Multimedia» more  MM 2009»
15 years 4 months ago
Signature quadratic form distances for content-based similarity
Determining similarity is a fundamental task in querying multimedia databases in a content-based way. For this challenging task, there exist numerous similarity models which measu...
Christian Beecks, Merih Seran Uysal, Thomas Seidl
SISAP
2010
IEEE
243views Data Mining» more  SISAP 2010»
14 years 7 months ago
Similarity matrix compression for efficient signature quadratic form distance computation
Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art sim...
Christian Beecks, Merih Seran Uysal, Thomas Seidl
90
Voted
RIAO
2007
14 years 11 months ago
Similarity Beyond Distance Measurement
One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and mos...
Feng Kang, Rong Jin, Steven C. H. Hoi
SIGIR
2008
ACM
14 years 9 months ago
Asymmetric distance estimation with sketches for similarity search in high-dimensional spaces
Efficient similarity search in high-dimensional spaces is important to content-based retrieval systems. Recent studies have shown that sketches can effectively approximate L1 dist...
Wei Dong, Moses Charikar, Kai Li