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» A New Study on Distance Metrics as Similarity Measurement
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VLDB
2002
ACM
113views Database» more  VLDB 2002»
14 years 8 months ago
Searching in metric spaces by spatial approximation
We propose a new data structure to search in metric spaces. A metric space is formed by a collection of objects and a distance function de ned among them, which satis es the trian...
Gonzalo Navarro
ICCV
2009
IEEE
15 years 22 days ago
A Robust Elastic and Partial Matching Metric for Face Recognition
We present a robust elastic and partial matching metric for face recognition. To handle challenges such as pose, facial expression and partial occlusion, we enable both elastic ...
Gang Hua, Amir Akbarzadeh
JIIS
2002
141views more  JIIS 2002»
13 years 7 months ago
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining application domains including multimedia, CAD, molecular biology or medica...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...
AIPR
2004
IEEE
13 years 11 months ago
Feasibility Study for the Development of a Motion Imagery Quality Metric
The motion imagery community would benefit from the availability of standard measures for assessing image interpretability. The National Imagery Interpretability Rating Scale (NII...
John M. Irvine, Charles Fenimore, David M. Cannon,...
CICLING
2007
Springer
14 years 1 months ago
Clustering Narrow-Domain Short Texts by Using the Kullback-Leibler Distance
Clustering short length texts is a difficult task itself, but adding the narrow domain characteristic poses an additional challenge for current clustering methods. We addressed thi...
David Pinto, José-Miguel Benedí, Pao...