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Institution

University of Trento

EducationTrento, Italy
About: University of Trento is a education organization based out in Trento, Italy. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 10527 authors who have published 30978 publications receiving 896614 citations. The organization is also known as: Universitá degli Studi di Trento & Universita degli Studi di Trento.


Papers
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Journal ArticleDOI
01 Jul 2009-Cortex
TL;DR: It is proposed that the N2pc indexes mechanisms involved in identifying and localizing relevant stimuli in the scene through enhancement of their features and not suppression of distractors.

201 citations

Journal ArticleDOI
TL;DR: N numerically investigate the supercooled dynamics of two simple model liquids exploiting the partition of the multidimensional configuration space in basins of attraction of the stationary points (inherent saddles) of the potential energy surface and finds that the inherent saddle order and potential energy are well-defined functions of the temperature T.
Abstract: We numerically investigate the supercooled dynamics of two simple model liquids exploiting the partition of the multidimensional configuration space in basins of attraction of the stationary points (inherent saddles) of the potential energy surface. We find that the inherent saddle order and potential energy are well-defined functions of the temperature $T$. Moreover, by decreasing $T$, the saddle order vanishes at the same temperature $({T}_{\mathrm{MCT}})$ where the inverse diffusivity appears to diverge as a power law. This allows a topological interpretation of ${T}_{\mathrm{MCT}}$: it marks the transition from a dynamics between basins of saddles $(Tg{T}_{\mathrm{MCT}})$ to a dynamics between basins of minima $(Tl{T}_{\mathrm{MCT}})$.

201 citations

Journal ArticleDOI
TL;DR: In this paper, the polariton blockade effect due to polariton-polariton interactions as a function of the photonic dot geometry, spectral linewidths and energy detuning between quantum well exciton and confined photon mode was investigated.
Abstract: We investigate the quantum nonlinear dynamics of a resonantly excited photonic quantum dot embedding a quantum well in the strong exciton-photon coupling regime. Within a master equation approach, we study the polariton blockade effect due to polariton-polariton interactions as a function of the photonic dot geometry, spectral linewidths and energy detuning between quantum well exciton and confined photon mode. The second order coherence function ${g}^{(2)}(t,{t}^{\ensuremath{'}})$ and the photon antibunching are calculated for both continuous wave and pulsed excitations.

201 citations

Proceedings ArticleDOI
12 Mar 2018
TL;DR: In this article, the authors proposed to measure local abnormality by combining semantic information (inherited from existing CNN models) with low-level optical flow, which can be used without the fine-tuning phase.
Abstract: Most of the crowd abnormal event detection methods rely on complex hand-crafted features to represent the crowd motion and appearance. Convolutional Neural Networks (CNN) have shown to be a powerful instrument with excellent representational capacities, which can leverage the need for hand-crafted features. In this paper, we show that keeping track of the changes in the CNN feature across time can be used to effectively detect local anomalies. Specifically, we propose to measure local abnormality by combining semantic information (inherited from existing CNN models) with low-level optical-flow. One of the advantages of this method is that it can be used without the fine-tuning phase. The proposed method is validated on challenging abnormality detection datasets and the results show the superiority of our approach compared with the state-of-theart methods.

201 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the overall strength, the qualitative pattern, and the evolution over time of gender segregation in higher education across eight European countries and found that the degree of gender imbalance is highly variable within scientific fields as well as within humanistic fields.
Abstract: This article examines the overall strength, the qualitative pattern, and the evolution over time of gender segregation in higher education across eight European countries. Although previous studies have focused primarily on the divide between humanistic and scientific fields, this work indicates that this divide accounts for no more than half of the association between gender and college major. The degree of gender imbalance is highly variable within scientific fields as well as within humanistic fields. We can make sense of these findings once we posit the existence of a second, equally important gender divide that can be described as the care–technical divide. Accordingly, this work develops a topological model to show that these two dimensions together account for more than 90 percent of gender segregation in the countries under study. Moreover, this model can be used to show the noticeable degree of cross-national stability in both the qualitative pattern and the overall strength of gender segregation...

200 citations


Authors

Showing all 10758 results

NameH-indexPapersCitations
Yi Chen2174342293080
Jie Zhang1784857221720
Richard B. Lipton1762110140776
Jasvinder A. Singh1762382223370
J. N. Butler1722525175561
Andrea Bocci1722402176461
P. Chang1702154151783
Bradley Cox1692150156200
Marc Weber1672716153502
Guenakh Mitselmakher1651951164435
Brian L Winer1621832128850
J. S. Lange1602083145919
Ralph A. DeFronzo160759132993
Darien Wood1602174136596
Robert Stone1601756167901
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023158
2022340
20212,399
20202,286
20192,129
20181,943