Cargando…
The uncertain representation ranking framework for concept-based video retrieval
Concept based video retrieval often relies on imperfect and uncertain concept detectors. We propose a general ranking framework to define effective and robust ranking functions, through explicitly addressing detector uncertainty. It can cope with multiple concept-based representations per video segm...
Autores principales: | Aly, Robin, Doherty, Aiden, Hiemstra, Djoerd, de Jong, Franciska, Smeaton, Alan F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3782359/ https://www.ncbi.nlm.nih.gov/pubmed/24078787 http://dx.doi.org/10.1007/s10791-012-9207-y |
Ejemplares similares
-
Advances in information retrieval: 41st european conference on IR research, ECIR 2019, Cologne, Germany, April 14-18, 2019, proceedings, part II
por: Azzopardi, Leif, et al.
Publicado: (2019) -
Advances in information retrieval: 41st European conference on IR research, ECIR 2019, Cologne, Germany, April 14-18, 2019, proceedings, part I
por: Azzopardi, Leif, et al.
Publicado: (2019) -
Guest editorial: special issue on ECIR 2021
por: Hiemstra, Djoerd, et al.
Publicado: (2022) -
A Framework for Argument Retrieval: Ranking Argument Clusters by Frequency and Specificity
por: Dumani, Lorik, et al.
Publicado: (2020) -
The effects of strength-based versus deficit-based self-regulated learning strategies on students’ effort intentions
por: Hiemstra, Djoerd, et al.
Publicado: (2015)