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» On the Distance of Databases
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ICIP
2008
IEEE
16 years 5 months ago
Fast adaptive Mahalanobis distance-based search and retrieval in image databases
Motivated by the need to efficiently leverage user relevance feedback in content-based retrieval from image databases, we propose a fast, clustering-based indexing technique for e...
Sharadh Ramaswamy, Kenneth Rose
DATESO
2010
169views Database» more  DATESO 2010»
15 years 2 months ago
Parametrised Hausdorff Distance as a Non-Metric Similarity Model for Tandem Mass Spectrometry
Abstract. Tandem mass spectrometry is a widely used method for protein and peptide sequences identification. Since the mass spectra contain up to 80% of noise and many other inaccu...
Jiri Novák, David Hoksza
ICDE
1999
IEEE
139views Database» more  ICDE 1999»
16 years 5 months ago
Clustering Large Datasets in Arbitrary Metric Spaces
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehr...
ICASSP
2009
IEEE
15 years 10 months ago
Fingerprint matching based on distance metric learning
This paper considers a method for learning a distance metric in a fingerprinting system which identifies a query content by measuring the distance between the fingerprint of th...
Dalwon Jang, Chang D. Yoo
AMR
2007
Springer
154views Multimedia» more  AMR 2007»
15 years 10 months ago
Comparison of Dimension Reduction Methods for Database-Adaptive 3D Model Retrieval
Distance measures, along with shape features, are the most critical components in a shape-based 3D model retrieval system. Given a shape feature, an optimal distance measure will v...
Ryutarou Ohbuchi, Jun Kobayashi, Akihiro Yamamoto,...