Results 261 to 270 of about 1,816,931 (300)
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Melodic Similarity through Shape Similarity
2011We present a new geometric model to compute the melodic similarity of symbolic musical pieces. Melodies are represented as splines in the pitch-time plane, and their similarity is computed as the similarity of their shape. The model is very intuitive and it is transposition and time scale invariant.
Julián Urbano +3 more
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Computation of Similarity—Similarity Search as Computation
2011We present a number of applications in Natural Language Processing where the main computation consists of a similarity search for an input pattern in a large database. Afterwards we describe some efficient methods and algorithms for solving this computational challenge.
Stoyan Mihov, Klaus U. Schulz
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Proceedings of the 3rd International Conference on Electronics, Communications and Control Engineering, 2020
There are so many languages in the world. However some languages are similar to each other. In this paper we compare two similar languages, Bahasa Indonesia and Bahasa Malaysia. We build corpora for both Bahasa Indonesia and Bahasa Malaysia and perform comparisons.
Thomas Anung Basuki +1 more
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There are so many languages in the world. However some languages are similar to each other. In this paper we compare two similar languages, Bahasa Indonesia and Bahasa Malaysia. We build corpora for both Bahasa Indonesia and Bahasa Malaysia and perform comparisons.
Thomas Anung Basuki +1 more
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Finding Similar Microblogs According to Their Word Similarities and Semantic Similarities
2017Weibo is the biggest microblogging service in China, whose users publish a mass of short messages every day. Whenever there is a hot event, weibo users will scramble to publishing the messages about this event and most of these messages are repeated. In this paper, we proposed two different methods to identify similar weibo messages from the massive ...
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Psychological Review, 1977
The metric and dimensional assumptions that underlie the geometric representation of similarity are questioned on both theoretical and empirical grounds. A new set-theoretical approach to similarity is developed in which objects are represented as collections of features, and similarity is described as a feature-matching process. Specifically, a set of
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The metric and dimensional assumptions that underlie the geometric representation of similarity are questioned on both theoretical and empirical grounds. A new set-theoretical approach to similarity is developed in which objects are represented as collections of features, and similarity is described as a feature-matching process. Specifically, a set of
openaire +1 more source
2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1, 2005
Quantitative evaluation and comparison of image segmentation algorithms is now feasible owing to the recent availability of collections of hand-labeled images. However, little attention has been paid to the design of measures to compare one segmentation result to one or more manual segmentations of the same image.
Ranjith Unnikrishnan, Martial Hebert
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Quantitative evaluation and comparison of image segmentation algorithms is now feasible owing to the recent availability of collections of hand-labeled images. However, little attention has been paid to the design of measures to compare one segmentation result to one or more manual segmentations of the same image.
Ranjith Unnikrishnan, Martial Hebert
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2013
This paper deals with document similarity based on contextual similarity of words occurring in the documents. The method makes it possible to cluster documents in which words with similar meanings occur even though the words and their meanings are not identical. These similarities can be discovered due to context tracing.
Marie Duzí +2 more
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This paper deals with document similarity based on contextual similarity of words occurring in the documents. The method makes it possible to cluster documents in which words with similar meanings occur even though the words and their meanings are not identical. These similarities can be discovered due to context tracing.
Marie Duzí +2 more
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Cognition, 2003
We propose that similarity is determined by the transformation distance between representations: entities which are perceived to be similar have representations which are readily transformed into one another, whereas transforming between dissimilar entities requires many transformations.
Ulrike, Hahn +2 more
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We propose that similarity is determined by the transformation distance between representations: entities which are perceived to be similar have representations which are readily transformed into one another, whereas transforming between dissimilar entities requires many transformations.
Ulrike, Hahn +2 more
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British Journal of Mathematical and Statistical Psychology, 1970
An axiom set for similarities is presented together with a set‐theoretic definition of multidimensional similarity consistent with the axioms. A special case of relative similarity judgement, involving the simultaneous comparison of three stimulus pairs, called ‘quadratic similarities’, is empirically illustrated and related to the theory. The goodness
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An axiom set for similarities is presented together with a set‐theoretic definition of multidimensional similarity consistent with the axioms. A special case of relative similarity judgement, involving the simultaneous comparison of three stimulus pairs, called ‘quadratic similarities’, is empirically illustrated and related to the theory. The goodness
openaire +1 more source