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4,367,494
Similarity Measures
, 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
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Cited by 235 (3 self)
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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
, 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
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Cited by 381 (8 self)
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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
, 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
- 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
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Cited by 332 (14 self)
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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
"... 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 ..."
Abstract
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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
, 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
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Cited by 925 (15 self)
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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
similarity measure for
"... Elastic matching based on motion vector fields obtained with a histogram-based ..."
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Elastic matching based on motion vector fields obtained with a histogram-based
SIMILARITY MEASURE
"... 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
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