Parallel Mean Curvature Surfaces in Symmetric Spaces

We present a reduction of codimension theorem for surfaces with parallel mean curvature in symmetric spaces

End-to-end representation learning for Correlation Filter based tracking

The Correlation Filter is an algorithm that trains a linear template to discriminate between images and their translations. It is well suited to object tracking because its formulation in the Fourier domain provides a fast solution, enabling the detector to be re-trained once per frame. Previous works that use the Correlation Filter, however, have adopted features that were either manually designed or trained for a different task. This work is the first to overcome this limitation by interpreting the Correlation Filter learner, which has a closed-form solution, as a differentiable layer in a deep neural network. This enables learning deep features that are tightly coupled to the Correlation Filter. Experiments illustrate that our method has the important practical benefit of allowing lightweight architectures to achieve state-of-the-art performance at high framerates.Comment: To appear at CVPR 201

Learning feed-forward one-shot learners

One-shot learning is usually tackled by using generative models or discriminative embeddings. Discriminative methods based on deep learning, which are very effective in other learning scenarios, are ill-suited for one-shot learning as they need large amounts of training data. In this paper, we propose a method to learn the parameters of a deep model in one shot. We construct the learner as a second deep network, called a learnet, which predicts the parameters of a pupil network from a single exemplar. In this manner we obtain an efficient feed-forward one-shot learner, trained end-to-end by minimizing a one-shot classification objective in a learning to learn formulation. In order to make the construction feasible, we propose a number of factorizations of the parameters of the pupil network. We demonstrate encouraging results by learning characters from single exemplars in Omniglot, and by tracking visual objects from a single initial exemplar in the Visual Object Tracking benchmark.Comment: The first three authors contributed equally, and are listed in alphabetical orde

On the nature of the (de)coupling of the magnetostructural transition in Er5_5Si4_4

In this report, a successful thermodynamical model was employed to understand the structural transition in Er$_5$Si$_4$, able to explain the decoupling of the magnetic and structural transition. This was achieved by the DFT calculations which were used to determine the energy differences at 0 K, using a LSDA+U approximation. It was found that the M structure as the stable phase at low temperatures as verified experimentally with a $\Delta F_0 = -$0.262 eV. Finally, it was achieved a variation of Seebeck coefficient ($\sim$ 6 $\mu$V) at the structural transition which allow to conclude that the electronic entropy variation is negligible in the transition.Comment: 17 pages, 3 figures, 1 tabl

Influence of silane type and application time on the bond strength to leucite reinforced ceramics

Abstract in proceedings of the Fourth International Congress of CiiEM: Health, Well-Being and Ageing in the 21st Century, held at Egas Moniz’ University Campus in Monte de Caparica, Almada, from 3–5 June 2019.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.info:eu-repo/semantics/publishedVersio

Essential tremor: clinical observations

The authors have studied 53 patients with essential tremor, focusing its clinical and epidemiological aspects. There were familial history in 37.70% of all cases, prevailing in females (56.60%) and white people (69.80%); nevertheless this difference can not be assured from the statistical point of view due to lack of population data. We agreed that the main incidence of this syndrome occurred beyond the 5th decade, specially during the 6th and 7th decades. Topographically, we could observe that the hand tremor predominated, with an incidence of 96.20% of the total number of cases, followed by head tremor (28.30%), voice tremor (16.99%), leg tremor (11.30%), tongue tremor (3.78%) and trunk tremor (1.88%). These focal tremors were seldom observed alone and we noted frequent association with hand tremor.Foram analisados 53 casos de tremor essencial (TE) do Ambulatório de Distúrbios do Movimento da Disciplina de Neurologia do Hospital Universitário Pedro Ernesto - UERJ, quanto a história familiar, sexo, idade e áreas de acometimento corporal. Dos pacientes avaliados, somente 37,70% apresentavam história familiar para TE. Observa-se predomínio do sexo feminino (56,60%) em relação ao masculino (43,40%) e da raça branca (69,80%) sobre as demais, entretanto, não se pode afirmar que esta diferença seja estatisticamente significativa, por não se dispor de dados populacionais. Nossos achados mostraram maior incidência após os 50 anos de idade, predominando nas 6ª e 7ª décadas, principalmente nesta última. O acometimento das mãos (96,20%) prevaleceu sobre as demais áreas corporais: cefálico (28,30%), de voz (16,99%), de pernas (11,30%), de língua (3,78%) e de tronco (1,88%). Estes dificilmente se apresentavam isolados e ocorriam, em sua maioria, associados ao tremor de mãos.EPMUniversidade do Estado do Rio de Janeiro Hospital Universitário Pedro Ernesto Ambulatório de Distúrbios do MovimentoUNIFESP, EPMSciEL

Comment on ``Neutrino masses and mixing angles in a predictive theory of fermion masses''

In the extension of the Dimopoulos--Hall--Raby model of the fermion mass matrices to the neutrino sector, there is an entry in the up-quark and neutrino Dirac mass matrices which can be assumed to arise from the Yukawa coupling of a {\bf 120}, instead of a {\bf 10} or a {\bf 126}, of SO(10). Although this assumption leads to an extra undetermined complex parameter in the model, the resulting lepton mixing matrix exhibits the remarkable feature that the $\nu_{\tau}$ does not mix with the other two neutrinos. Making a reasonable assumption about the extra parameter, we are able to fit the large-mixing-angle MSW solution of the solar-neutrino problem, and we obtain $m_{\nu_{\tau}} \sim 10$ eV, the right mass range to close the Universe. Other possibilities for explaining the solar-neutrino deficit are also discussed.Comment: standard LATEX, 6 pages, 2 figures available from the authors, report No. CMU-HEP93-20 and DOE-ER/40682-4