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We focus on a specific class of curves that can be parametrized using a finite number of variables in two dimensions. The corresponding indicator plane, which is a binary image, has infinite bandwidth and can not be sampled and perfectly reconstructed with ...
Do you remember the Open Source Geospatial Research and Education Symposium (OGRS) in Nantes? "Les Machines de l’Île", the Big Elephant, the "Storm Boat" with Claramunt, Petit et al. (2009), and "le Biniou et la Bombarde"? A second edition of OGRS was prom ...
This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale research initiative aimed at generating innovations around smartphone-based research, as well as community-based evaluation of related mobile data analysis methodologies. Fir ...
Technological innovation – combined with scientific research – has always constituted a driving force of transformation in our societies. At the same time, it is no longer simply possible to transfer technologies from the North to the South; it is also ess ...
Since the past decades, the postal sector is undergoing profound reform (liberalization). The major motivation for such reform processes was and still is the belief that liberalization and deregulation stimulates, among others, product and process innovati ...
Reconstruction of point sources from boundary measurements is a challenging problem in many applications. Recently, we proposed a new sensing and non-iterative reconstruction scheme for systems governed by the three-dimensional wave equation. The points so ...
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We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gaussians in each state. The model is defined by vectors associated with each stat ...
We investigate the intra-organizational antecedents of firm-level absorptive capacity (AC). Specifically, we examine how the functional areas of R&D, manufacturing and marketing contribute to the absorption of knowledge coming from different external knowl ...
This paper extends the line of research attempting to link innovation to economic growth by addressing some unexplored questions Using global patent data this paper empirically investigates the importance of both the quantity and quality of innovation on e ...
We propose statistically self-similar and rotation-invariant models for vector fields, study some of the more significant properties of these models, and suggest algorithms and methods for reconstructing vector fields from numerical observations, using the ...
