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Object recognition using local invariant features for robotic applications: A survey
(2016)
The main goal of this survey is to present a complete analysis of object recognition methods based on local invariant features from a robotics perspective; a summary which can be used by developers of robot vision applications ...
Recent Advances of Fe-N-C pyrolyzed catalysts for the oxygen reduction reaction
(2020)
This review summarizes recent advances in the development of pyrolyzed M–N–C catalysts for the oxygen reduction reaction, focusing on activity, stability, and the reactivity descriptors proposed for the rational design of ...
Computer generated images vs. digital photographs: A synergetic feature and classifier combination approach
(Academic Press Inc Elsevier ScienceSan DiegoEUA, 2013)
Electronic descriptors for the antimalarial activity of sulfonamides
(2016-08-01)
As an interesting class of materials for designing new antimalarial drugs, sulfonamides have shown potential for several pharmacological applications. In this study, multivariate data analyses were employed to correlate ...
W2AVV++: sistema que combina el análisis de texto con descriptores visuales y auditivos profundos para la recuperación de videos sin etiquetar
(Universidad de Chile, 2020)
La cantidad de contenido multimedia que se genera en el mundo es cada día mayor. Herramientas como Google y YouTube facilitan la búsqueda de este tipo de datos, utilizando la metadata asociada a un video como por ejemplo ...
Multimodal image geocoding: The 2013 RECOD's approach
(2013-01-01)
This work describes the approach used by the RECOD team in the MediaEval Placing Task of 2013, in which we were required to develop an automatic scheme to assign geographical locations to images. Our approach is multimodal, ...
Rotation-invariant texture recognition
(Scopus, 2007)
This paper proposes a new texture classification system, which is distinguished by: (1) a new rotation-invariant image descriptor based on Steerable Pyramid Decomposition, and (2) by a novel multi-class recognition method ...
A Mid-level Video Representation Based On Binary Descriptors: A Case Study For Pornography Detection
(Elsevier Science BVAmsterdam, 2016)