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rdf:type
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Description
| - Jednotný rámec pro rychlé přesné a aproximativní vyhledávání (cs)
- In multimedia systems we usually need to retrieve DB objects based on their similarity to a query object, while the similarity assessment is provided by a measure which defines a (dis)similarity score for every pair of DB objects. In most existing applications, the similarity measure is required to be a metric, where the triangle inequality is utilized to speedup the search for relevant objects by use of metric access methods (MAMs), e.g. the M-tree. A recent research has shown, however, that non-metric measures are more appropriate for similarity modeling due to their robustness and ease to model a made-to-measure similarity. Unfortunately, due to the lack of triangle inequality, the non-metric measures cannot be directly utilized by MAMs. From another point of view, some sophisticated similarity measures could be available in a black-box non-analytic form (e.g. as an algorithm or even a hardware device), where no information about their topological properties is provided, so we have to consider them
- In multimedia systems we usually need to retrieve DB objects based on their similarity to a query object, while the similarity assessment is provided by a measure which defines a (dis)similarity score for every pair of DB objects. In most existing applications, the similarity measure is required to be a metric, where the triangle inequality is utilized to speedup the search for relevant objects by use of metric access methods (MAMs), e.g. the M-tree. A recent research has shown, however, that non-metric measures are more appropriate for similarity modeling due to their robustness and ease to model a made-to-measure similarity. Unfortunately, due to the lack of triangle inequality, the non-metric measures cannot be directly utilized by MAMs. From another point of view, some sophisticated similarity measures could be available in a black-box non-analytic form (e.g. as an algorithm or even a hardware device), where no information about their topological properties is provided, so we have to consider them (en)
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Title
| - Unified Framework for Fast Exact and Approximate Search in Dissimilarity Spaces
- Jednotný rámec pro rychlé přesné a aproximativní vyhledávání (cs)
- Unified Framework for Fast Exact and Approximate Search in Dissimilarity Spaces (en)
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skos:prefLabel
| - Unified Framework for Fast Exact and Approximate Search in Dissimilarity Spaces
- Jednotný rámec pro rychlé přesné a aproximativní vyhledávání (cs)
- Unified Framework for Fast Exact and Approximate Search in Dissimilarity Spaces (en)
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skos:notation
| - RIV/00216208:11320/07:00005172!RIV08-MSM-11320___
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http://linked.open.../vavai/riv/strany
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(GP201/05/P036), Z(MSM0021620838)
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216208:11320/07:00005172
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Unified; Framework; Exact; Approximate; Search; Dissimilarity; Spaces (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
| - US - Spojené státy americké
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
| - ACM Transactions on Database Systems
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
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http://linked.open...n/vavai/riv/zamer
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issn
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number of pages
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http://localhost/t...ganizacniJednotka
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