129 research outputs found
An oscillatory circuit with a ferroelectric capacitor with negative differential capacitance under the action of blocking-generator
On joint application of atomic force microscopy and light scattering data for determination of growth rate for fractal solid state surface height
This work was supported by RFBR, grant N 18-08-01356-a
Deep neural networks performance optimization in image recognition
In this paper, we consider the problem of insufficient runtime and memory-space complexities of contemporary deep convolutional neural networks in the problem of image recognition. A survey of recent compression methods and efficient neural networks architectures is provided. The experimental study is focused on the visual emotion recognition problem. We compare the computational speed and memory consumption during the training and the inference stages of such methods as the weights matrix decomposition, binarization and hashing in the visual emotion recognition problem. It is experimentally shown that the most efficient recognition is achieved with the full network binarization and matrices decomposition.The article was prepared within the framework of the Academic Fund Program at the National Research University Higher School of Economics (HSE) in 2017 (grant №17-05-0007) and by the Russian Academic Excellence Project "5-100". A.V. Savchenko is supported by Russian Federation President grant no. МД-306.2017.9
On exact solution of the Kardar-Parisi-Zhang equation with determinate spatially-inhomogeneous source
This work was supported by RFBR, grant N 18-08-01356-a
Exactly solved models of specific effective dispersion section of dynamical statistically homogeneous snowy cover in longwavelength approximation
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