Rating-Aware Self-Organizing Maps

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10448375" target="_blank" >RIV/00216208:11320/22:10448375 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/978-3-030-98358-1_10" target="_blank" >https://doi.org/10.1007/978-3-030-98358-1_10</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-98358-1_10" target="_blank" >10.1007/978-3-030-98358-1_10</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Rating-Aware Self-Organizing Maps

Popis výsledku v původním jazyce

Self-organizing maps (SOM) are one of the prominent paradigms for 2D data visualization. While aiming at preserving topological relations of high-dimensional data, they provide sufficiently organized view of objects and thus improve capability of users to explore displayed information. SOMs were also extensively utilized in visualizing results of multimedia information retrieval systems. However, for this task, SOM lacks the ability to adapt to the relevance scores induced by the underlying retrieval algorithm. Therefore, although exploration capability is enhanced, the capability to exploit the (best) results is severely limited. In order to cope with this problem, we propose a rating-aware modification of SOM algorithm that jointly optimizes for the preservation of both topological as well as relevance-based ordering of results.

Název v anglickém jazyce

Rating-Aware Self-Organizing Maps

Popis výsledku anglicky

Self-organizing maps (SOM) are one of the prominent paradigms for 2D data visualization. While aiming at preserving topological relations of high-dimensional data, they provide sufficiently organized view of objects and thus improve capability of users to explore displayed information. SOMs were also extensively utilized in visualizing results of multimedia information retrieval systems. However, for this task, SOM lacks the ability to adapt to the relevance scores induced by the underlying retrieval algorithm. Therefore, although exploration capability is enhanced, the capability to exploit the (best) results is severely limited. In order to cope with this problem, we propose a rating-aware modification of SOM algorithm that jointly optimizes for the preservation of both topological as well as relevance-based ordering of results.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GJ19-22071Y" target="_blank" >GJ19-22071Y: Flexibilní modely pro hledání známé scény v rozsáhlých kolekcích videa</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

MULTIMEDIA MODELING (MMM 2022), PT I

ISBN

978-3-030-98358-1

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

12

Strana od-do

119-130

Název nakladatele

SPRINGER INTERNATIONAL PUBLISHING AG

Místo vydání

CHAM

Místo konání akce

Phu Quoc

Datum konání akce

6. 6. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000788273400010