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Combining re-ranking and rank aggregation methods for image retrieval
(2016-08-01)
This paper presents novel approaches for combining re-ranking and rank aggregation methods aiming at improving the effectiveness of Content-Based Image Retrieval (CBIR) systems. Given a query image as input, CBIR systems ...
Combining Re-ranking And Rank Aggregation Methods For Image Retrieval
(SpringerDordrecht, 2016)
Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks
(Elsevier B.V., 2014-02-01)
In this paper, we present an unsupervised distance learning approach for improving the effectiveness of image retrieval tasks. We propose a Reciprocal kNN Graph algorithm that considers the relationships among ranked lists ...
A rank aggregation framework for video interestingness prediction
(2017-01-01)
Often, different segments of a video may be more or less attractive for people depending on their experience in watching it. Due to this subjectiveness, the challenging task of automatically predicting whether a video ...
Program implementation of the Rating Methods of preference rankingProgram implementation of the Rating Methods of preference ranking
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2005)
Image re-ranking and rank aggregation based on similarity of ranked lists
(Elsevier Sci LtdOxfordInglaterra, 2013)
Comparing rankings from using TODIM and a fuzzy expert system
(2015-01-01)
TODIM is, in its original formulation, an MCDA method developed to solve ranking problems. As an MCDA method TODIM combines the use of a multi-attribute value function as well as elements of the Outranking Approach, being ...
Curve resolution of simulated and total luminescence spectra by Generalized Rank Annihilation Method (GRAM).
(Soc Brasileira QuimicaSao PauloBrasil, 1999)