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» A new similarity measure using hausdorff distance map
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CVPR
2004
IEEE
14 years 9 months ago
BoostMap: A Method for Efficient Approximate Similarity Rankings
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
ESWS
2006
Springer
13 years 11 months ago
An Iterative Algorithm for Ontology Mapping Capable of Using Training Data
We present a new iterative algorithm for ontology mapping where we combine standard string distance metrics with a structural similarity measure that is based on a vector represent...
Andreas Heß
CSB
2003
IEEE
14 years 23 days ago
A New Similarity Measure among Protein Sequences
Protein sequence analysis is an important tool to decode the logic of life. One of the most important similarity measures in this area is the edit distance between amino acids of ...
Kuen-Pin Wu, Hsin-Nan Lin, Ting-Yi Sung, Wen-Lian ...
IDEAL
2005
Springer
14 years 29 days ago
Bearing Similarity Measures for Self-organizing Feature Maps
The neural representation of space in rats has inspired many navigation systems for robots. In particular, Self-Organizing (Feature) Maps (SOM) are often used to give a sense of lo...
Narongdech Keeratipranon, Frédéric M...
DEXAW
2002
IEEE
101views Database» more  DEXAW 2002»
14 years 13 days ago
Robust Similarity Measures for Mobile Object Trajectories
We investigate techniques for similarity analysis of spatio-temporal trajectories for mobile objects. Such kind of data may contain a great amount of outliers, which degrades the ...
Michail Vlachos, Dimitrios Gunopulos, George Kolli...