ARCA è l'archivio istituzionale ad accesso aperto della ricerca dell'Università Ca' Foscari Venezia e nasce nel 2014 con lo scopo di raccogliere, diffondere e conservare la produzione scientifica dell'Università. Costituisce di fatto il catalogo della ricerca di Ateneo.Mentre il precedente U-Gov Catalogo era un database chiuso, ARCA è un sistema Open Access: è non solo consultabile da tutti e visibile nei motori di ricerca, ma anche interoperabile con il portale cerCa. In questo modo vengono valorizzate la produzione scientifica dell'Ateneo e la visibilità dei ricercatori.
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Sol-immobilized vs deposited-precipitated Au nanoparticles supported on CeO2 for furfural oxidative esterification
The non-edible nature of lignocellulose makes this an important raw material for future biorefineries. This work concerns the oxidative esterification of furfural (a C5 compound) to alkyl furoates, which find applications in the fine chemical industry. RESULTS: Very efficient Au/CeO2 catalys...
Synchronization over the Birkhoff polytope for multi-graph matching
In this paper we address the problem of simultaneously matching multiple graphs imposing cyclic or transitive consistency among the correspondences. This is obtained through a synchronization process that projects doubly-stochastic matrices onto a consistent set. We overcome the lack of group...
Measuring vertex centrality using the Holevo quantity
In recent years, the increasing availability of data describing the dynamics of real-world systems led to a surge of interest in the complex networks of interactions that emerge from such systems. Several measures have been introduced to analyse these networks, and among them one&#...
Non-rigid dense bijective maps
We present a novel approach to the computation of dense correspondence maps between shapes in a non-rigid setting. The problem is defined in terms of functional correspondences. We deal with the non-injectivity of the solution of the functional map framework due to the under-determ...
Spectral dichromatic parameter recovery from two views via total variation hyper-priors
In this paper, we propose an approach for the recovery of the dichromatic model from two hyperspectral or multispectral images, i.e., the joint estimation of illuminant, reflectance, and shading of each pixel, as well as the optical flow between the two views. The approach is&...
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