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» A New Study on Distance Metrics as Similarity Measurement
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PODS
2008
ACM
211views Database» more  PODS 2008»
14 years 7 months ago
The power of two min-hashes for similarity search among hierarchical data objects
In this study we propose sketching algorithms for computing similarities between hierarchical data. Specifically, we look at data objects that are represented using leaf-labeled t...
Sreenivas Gollapudi, Rina Panigrahy
SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
14 years 25 days ago
Similarity Estimation Using Bayes Ensembles
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
ISBI
2007
IEEE
14 years 2 months ago
An Effective and Efficient Technique for Searching for Similar Brain Activation Patterns
In this paper, we introduce a new approach for content-based similarity search for brain images. Based on the keyblock representation, our framework employs the Principal Componen...
Jingjing Zhang, Vasileios Megalooikonomou
SAC
2010
ACM
14 years 2 months ago
Estimating node similarity from co-citation in a spatial graph model
Co-citation (number of nodes linking to both of a given pair of nodes) is often used heuristically to judge similarity between nodes in a complex network. We investigate the relat...
Jeannette Janssen, Pawel Pralat, Rory Wilson
ICML
2010
IEEE
13 years 8 months ago
Metric Learning to Rank
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
Brian McFee, Gert R. G. Lanckriet