Search results for "CEM"
showing 10 items of 3487 documents
Super-resolution-based magnification of endothelium cells from biomicroscope videos of the cornea
2018
We present a practical, robust, and effective pipeline to compute a high-resolution (HR) image of the corneal endothelium starting from a low-resolution (LR) video sequence obtained with a general purpose slit lamp biomicroscope. An image quality typical of dedicated and more expensive confocal microscopes is achieved via software magnification by exploiting information redundancy in the video sequence. In particular, the HR image is generated from the best LR frames, obtained by identifying the most suitable endothelium video subsequence using a support vector machine-based learning approach, followed by a robust graph-based frame registration. Results on long, real sequences show that the…
Springs-based Simulation for Image Retargeting
2011
In this paper an efficient method for image retargeting is pro- posed. It relies onto a mechanical model based on springs network. Each pixel displacement (compression or expan- sion) is given by the network response, according to the springs stiffness. The properties of the springs are deter- mined as function of the visual relevance of the pixels. Such model does not require any optimization, since its so- lution is obtained simply from a linear system of equations, allowing real-time application even for large images. The approach is fully automatic, though can be improved by interactively providing cues such as geometric constraints and/or manual relevant object labeling. The results pr…
A Reinforcement Learning Approach for User Preference-aware Energy Sharing Systems
2021
Energy Sharing Systems (ESS) are envisioned to be the future of power systems. In these systems, consumers equipped with renewable energy generation capabilities are able to participate in an energy market to sell their energy. This paper proposes an ESS that, differently from previous works, takes into account the consumers’ preference, engagement, and bounded rationality. The problem of maximizing the energy exchange while considering such user modeling is formulated and shown to be NP-Hard. To learn the user behavior, two heuristics are proposed: 1) a Reinforcement Learning-based algorithm, which provides a bounded regret and 2) a more computationally efficient heuristic, named BPT- ${K}…
Real-time content-aware image resizing using reduced linear model
2010
In this paper an effective and efficient method for contentaware image resizing is proposed. It is based on the solution of a linear system where each pixel displacement (compression or expansion) is determined in dependence of the visual relevance of the pixel itself. The linear nature of the model allows real-time application of the method even for large images. This fully automatic approach can be also improved by interactively providing cues such as geometric constraints and/or manual relevant object labeling. The results have proven that the presented method achieves results comparable or superior to existent strategies, while improving efficiency.
Texture Synthesis for Digital Restoration in the Bit-Plane Representation
2007
In this paper we propose a new approach to handle the problem of restoration of grayscale textured images. The purpose is to recovery missing data of a damaged area. The key point is to decompose an image in its bit-planes, and to process bits rather than pixels. We propose two texture synthesis methods for restoration. The first one is a random generation process, based on the conditional probability of bits in the bit-planes. It is designed for images with stochastic textures. The second one is a best-matching method, running on each bit-plane, that is well suited to synthesize periodic patterns. Results are compared with a state-of-the-art restoration algorithm.
Damages claims for anticompetitive conduct after the Directive 2014/104/EU: Is it (still) worth talking about a private law remedy?
2019
Directive 2014/2014/EU puts the private law remedy of non-contractual liability as the pivot of the entire system of antitrust private enforcement. Neither exhaustive nor containing a “full-harmonization rule,” it promotes the approximation of national laws by introducing a set of substantial and procedural measures, whose main goal is granting the effectiveness of the individual rights to compensation conferred by the antimonopolistic provisions of the TFEU. Many elements, however, induce to wonder about the main features and ultimately the very nature of the remedy by means of which “any person” can claim for damages suffered as a consequence of anticompetitive conduct. The author argues …
L’ILLECITO ANTITRUST DOPO LA DIRETTIVA 2014/104/UE
2020
Tradizionalmente, tanto a livello nazionale quanto a livello comunitario, la tutela della concorrenza si è caratterizzata per l’impiego di strumenti di enforcement pubblicistico. Dopo un lungo iter, il 26 novembre 2014 è stata pubblicata la direttiva del Parlamento Europeo e del Consiglio UE 2014/104 relativa a determinate norme che regolano le azioni per il risarcimento del danno ai sensi del diritto nazionale per violazioni delle disposizioni del diritto della concorrenza degli Stati membri e dell'Unione europea. In Italia il recepimento della Direttiva è avvenuto il 19 gennaio 2017 con il d.lgs. n. 3/2017. Sebbene la normativa in parola intervenga a colmare il vuoto creato dall’assenza, …
Il trasferimento del sovrapprezzo anticoncorrenziale nella Direttiva 2014/104/UE
2016
Il lavoro si incentra sul testo della recente Direttiva 2014/104 UE, di cui prende particolarmente in esame le disposizioni dedicate al c.d. passing on, o meglio le disposizioni che - nel quadro di un disegno normativo orientato alla promozione di una antitrust regulation through private litigation - disciplinano tanto un possibile uso difensivo ( a mò di eccezione) della traslazione a valle del sovrapprezzo monopolistico, tanto un uso offensivo dello stesso da parte dei c.d. indirect purchasers
An overview of the Private Enforcement of Competition Law in Italy
2020
The Essay focuses on many key aspects of the implementation of Directive 104/2014 UE in Italy: Which entity is liable for damages; the law in action of the binding effects of decisions of competition authorities; the law limitations of actions for damages; the Collective actions/pooling of claims. The Author then focuses on some further missing pieces of the puzzle: causation and quantification of damages.
L’escussione stragiudiziale accelerata delle garanzie reali nella proposta di Direttiva sui crediti deteriorati (NPL)
2019
The Proposal for a Directive of the European Parliament and of the Council on credit servicers, credit purchasers and the recovery of collateral aims to reach the goal of improving the secondary market of Non Performing Loans also through a Non-judicial Enforcement that should consent creditors to enforce collaterals faster than pursuing judicial remedies. The Paper discusses this desired objective highlighting how it lacks of attention for third party creditors and how it seems still leaving room for a judicial intervention to ensure their rights.