2,294 research outputs found
In the Presence of Women. Representation in Canadian Governments sous la direction de Jane Arscott et Linda Trimble, Harcourt Brace and Company, Toronto, 1997, 387 p.
Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient
Convolutional Neural Networks (CNN) for image recognition tasks are seeing
rapid advances in the available architectures and how networks are trained
based on large computational infrastructure and standard datasets with millions
of images. In contrast, performance and time constraints for example, of small
devices and free cloud GPUs necessitate efficient network training (i.e.,
highest accuracy in the shortest inference time possible), often on small
datasets. Here, we hypothesize that initially decreasing image size during
training makes the training process more efficient, because pre-shaping weights
with small images and later utilizing these weights with larger images reduces
initial network parameters and total inference time. We test this Efficient
Network TRaining (ENTR) Hypothesis by training pre-trained Residual Network
(ResNet) models (ResNet18, 34, & 50) on three small datasets (steel
microstructures, bee images, and geographic aerial images) with a free cloud
GPU. Based on three training regimes of i) not, ii) gradually or iii) in one
step increasing image size over the training process, we show that initially
reducing image size increases training efficiency consistently across datasets
and networks. We interpret these results mechanistically in the framework of
regularization theory. Support for the ENTR hypothesis is an important
contribution, because network efficiency improvements for image recognition
tasks are needed for practical applications. In the future, it will be exciting
to see how the ENTR hypothesis holds for large standard datasets like ImageNet
or CIFAR, to better understand the underlying mechanisms, and how these results
compare to other fields such as structural learning.Comment: 12 pages, 5 figures, 1 table +++ Keywords: Image recognition,
Efficient Network Training hypothesis, image size increase, network
efficiency, ResNet models, Google Colaboratory, free cloud GPU, material
science, geoscience, environmental science, convolutional neural networks,
regularizatio
Hinterland FAR Frohn & Rojas, Colonia, 2011
Indexación: Web of Science; Scielo.¿Es posible llevar la interpretación de las regulaciones urbanas al ámbito del "hágalo Ud. mismo"? Este software acorta la distancia entre habitante, arquitecto y normativa, en un intento por acelerar y facilitar la renovación del tejido urbano del casco histórico de Colonia.Is it possible to interpret urban regulations under the "do it yourself" model? This software brings resident, architect and regulations closer together in an attempt to accelerate and facilitate the renewal of the urban fabric of Cologne's historic quarter.http://ref.scielo.org/kq823
Gagnon, Christian (1994) La recomposition des territoires. Développement local viable : récits et pratiques d’acteurs sociaux dans une région québécoise. Paris, L’Harmattan, 272 p. (ISBN 2-7384-2443-0)
Inferring Lower Bounds for Runtime Complexity
We present the first approach to deduce lower bounds for innermost runtime complexity of term rewrite systems (TRSs) automatically. Inferring lower runtime bounds is useful to detect bugs and to complement existing techniques that compute upper complexity
bounds. The key idea of our approach is to generate suitable families of rewrite sequences of a TRS and to find a relation between the length of such a rewrite sequence and the size of the first term in the sequence. We implemented our approach in
the tool AProVE and evaluated it by extensive experiments
Termination of Triangular Integer Loops is Decidable
We consider the problem whether termination of affine integer loops is
decidable. Since Tiwari conjectured decidability in 2004, only special cases
have been solved. We complement this work by proving decidability for the case
that the update matrix is triangular.Comment: Full version (with proofs) of a paper published in the Proceedings of
the 31st International Conference on Computer Aided Verification (CAV '19),
New York, NY, USA, Lecture Notes in Computer Science, Springer-Verlag, 201
Wall House. Lampa, Chile
Indexación: Web of Science; ScieloEl control climático y lumínico es tomado como generatriz de una vivienda ubicada en la zona central de Chile. A través de la creación de capas sucesivas desde el interior, se conforman los espacios privados y comunes, en un contexto velado por los mantos exteriores que controlan la luz y las vistas.This thesis project, built thanks to the participation of locals and the recycling of abandoned material, proposes a contemplation space of a landscape previously exploited. The generated volumes are placed and give gratuity to the space, allowing one to reflect over history.http://ref.scielo.org/w8xtw
Modelling transport and deposition of caesium and iodine from the Chernobyl accident using the DREAM model
International audienceA tracer model, DREAM (the Danish Rimpuff and Eulerian Accidental release Model), has been developed for modelling transport, dispersion and deposition (wet and dry) of radioactive material from accidental releases, as the Chernobyl accident. The model is a combination of a Lagrangian model, that includes the near source dispersion, and an Eulerian model describing the long-range transport. The performance of the transport model has previously been tested within the European Tracer Experiment, ETEX, which included transport and dispersion of an inert, non-depositing tracer from a controlled release. The focus of this paper is the model performance with respect to the deposition of 137Cs, 134Cs and 131I from the Chernobyl accident, using different relatively simple and comprehensive parameterizations. The performance, compared to measurements, of different combinations of parameterizations of wet and dry deposition schemes has been evaluated, using different statistical tests
Очистка воды от солей жёсткости при помощи бытового водоочитстного фильтра
В работе проведено исследование фильтра-кувшина Аквафор Гарри, при процессах динамической фильтрации, через него водопроводной воды содержащей соли жёсткости. Определена степень извлечения солей жёсткости и ресурс исследуемого картриджа В100-8.In this work, a study of the filter-jar Aquaphor Harry was carried out in the process of dynamic filtration of tap water containing hardness salts. The degree of extraction of hardness salts and the working life of the investigated cartridge B100-8 was determined
Gruppenpuzzle als Methode in Tutorien – Eine Untersuchung zu Einstellungen von Lehramtsstudierenden im Rahmen einer Fachvorlesung „Arithmetik und Algebra“
Frohn D, Salle A. Gruppenpuzzle als Methode in Tutorien. Eine Untersuchung zu Einstellungen von Lehramtsstudierenden im Rahmen einer Fachvorlesung „Arithmetik und Algebra“. In: Beiträge zum Mathematikunterricht 2016. Band 1. Münster: WTM; 2016: 289
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