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ICPR
2006
IEEE
14 years 5 months ago
Learning Wormholes for Sparsely Labelled Clustering
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Eng-Jon Ong, Richard Bowden
ICDE
1999
IEEE
139views Database» more  ICDE 1999»
14 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...
ICDE
2005
IEEE
185views Database» more  ICDE 2005»
14 years 5 months ago
A Multiresolution Symbolic Representation of Time Series
Efficiently and accurately searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem. In this paper, we introduce a...
Vasileios Megalooikonomou, Qiang Wang, Guo Li, Chr...
CVPR
2004
IEEE
14 years 6 months ago
Learning Distance Functions for Image Retrieval
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall