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Similarity Measures

by Simone Santini, Ramesh Jain , 1999
"... With complex multimedia data, we see the emergence of database systems in which the fundamental operation is similarity assessment. Before database issues can be addressed, it is necessary to give a definition of similarity as an operation. In this paper we develop a similarity measure, based on fuz ..."
Abstract - Cited by 240 (3 self) - Add to MetaCart
With complex multimedia data, we see the emergence of database systems in which the fundamental operation is similarity assessment. Before database issues can be addressed, it is necessary to give a definition of similarity as an operation. In this paper we develop a similarity measure, based

WordNet::Similarity -- Measuring the Relatedness of Concepts

by Ted Pedersen, Siddharth Patwardhan, Jason Michelizzi , 2004
"... WordNet::Similarity is a freely available software package that makes it possible to measure the semantic similarity or relatedness between a pair of concepts (or word senses). It provides six measures of similarity, and three measures of relatedness, all of which are based on the lexical databa ..."
Abstract - Cited by 388 (8 self) - Add to MetaCart
WordNet::Similarity is a freely available software package that makes it possible to measure the semantic similarity or relatedness between a pair of concepts (or word senses). It provides six measures of similarity, and three measures of relatedness, all of which are based on the lexical

Similarity measure

by unknown authors , 2013
"... transition probability toward similarity measure for semi-supervised learning ..."
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transition probability toward similarity measure for semi-supervised learning

Adaptive Duplicate Detection Using Learnable String Similarity Measures

by Mikhail Bilenko, Raymond J. Mooney - In Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2003 , 2003
"... The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied on generic or manually tuned distance metrics for estimating the similarity of potential duplicates. In this paper, we p ..."
Abstract - Cited by 344 (14 self) - Add to MetaCart
present a framework for improving duplicate detection using trainable measures of textual similarity. We propose to employ learnable text distance functions for each database field, and show that such measures are capable of adapting to the specific notion of similarity that is appropriate for the field

Similarity Measure

by Weijie Jia A, Jixian Zhang A, Jinghui Yang A
"... Image registration is concerned with the establishment of correspondence between the images of the same scene. It is a challenge problem especially when multispectral/multisensor images are registered. In general, such images have different gray level characteristics and imaging model, and simple re ..."
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, such as dilate and thin, are used for the contour extraction in both images. Affine transform model is used to correct the global rigid deformation (rotation, translation, scale) between two images. Then, we will estimate the residual deformation between the two images with similarity measure based

Automatic Retrieval and Clustering of Similar Words

by Dekang Lin , 1998
"... greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of words. The similarity measure allows us to construct a thesaurus using a parsed corpus. We then present a new evaluation methodology for the automatically constructed th ..."
Abstract - Cited by 943 (15 self) - Add to MetaCart
greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of words. The similarity measure allows us to construct a thesaurus using a parsed corpus. We then present a new evaluation methodology for the automatically constructed

Features of similarity.

by Amos Tversky - Psychological Review , 1977
"... Similarity plays a fundamental role in theories of knowledge and behavior. It serves as an organizing principle by which individuals classify objects, form concepts, and make generalizations. Indeed, the concept of similarity is ubiquitous in psychological theory. It underlies the accounts of stimu ..."
Abstract - Cited by 1455 (2 self) - Add to MetaCart
d is regarded as a measure of dissimilarity. The minimality axiom implies that the similarity between an object and itself is the same for all

SIMILARITY MEASURE

by Zhang Bo, Peng Gang, Wang William S-y
"... Under noisy conditions, due to the redundancy of speech signal, there are some spectral bands (Reliable Bands) whose local SNR’s are high enough to be used effectively by a recognizer. Based on this, a novel, phonetically motivated Reliable Bands Guided sim-ilarity measure (RBG measure) is proposed. ..."
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Under noisy conditions, due to the redundancy of speech signal, there are some spectral bands (Reliable Bands) whose local SNR’s are high enough to be used effectively by a recognizer. Based on this, a novel, phonetically motivated Reliable Bands Guided sim-ilarity measure (RBG measure) is proposed

similarity measures

by João D. Ferreira, Janna Hastings, Francisco M. Couto , 2013
"... Exploiting disjointness axioms to improve semantic ..."
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Exploiting disjointness axioms to improve semantic

similarity measure

by Miriam Ruth Kantorovitz, David Tcheng, Michael I. Lerman, Eric Jakobsson
"... 1Genome wide identification of regulatory networks associated ..."
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1Genome wide identification of regulatory networks associated
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