Articles
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07/18/2018--
07/18/2018
Genetic algorithms with DNN-based trainable crossover as an example of partial specialization of general search
Universal induction relies on some general search procedure that is doomed to
be inefficient. One possibility to achieve both generality and efficiency is to
specialize this procedure w.r.t. any given narrow task. However, complete
specialization that implies direct mapping from the task parameters to
solutions (discriminative models) without search is not always possible. In
this paper, partial specialization of general search is considered in the form
of genetic algorithms (GAs) with a specialized crossover operator. We perform a
feasibility study of this idea implementing such an operator in the form of a
deep feedforward neural network. GAs with trainable crossover operators are
compared with the result of complete specialization, which is also represented
as a deep neural network. Experimental results show that specialized GAs can be
more efficient than both general GAs and discriminative models.
Alexey Potapov
Sergey Rodionov
07/23/2018--
07/23/2018
Improving Deep Models of Person Re-identification for Cross-Dataset Usage
Person re-identification (Re-ID) is the task of matching humans across
cameras with non-overlapping views that has important applications in visual
surveillance. Like other computer vision tasks, this task has gained much with
the utilization of deep learning methods. However, existing solutions based on
deep learning are usually trained and tested on samples taken from same
datasets, while in practice one need to deploy Re-ID systems for new sets of
cameras for which labeled data is unavailable. Here, we mitigate this problem
for one state-of-the-art model, namely, metric embedding trained with the use
of the triplet loss function, although our results can be extended to other
models. The contribution of our work consists in developing a method of
training the model on multiple datasets, and a method for its online
practically unsupervised fine-tuning. These methods yield up to 19.1%
improvement in Rank-1 score in the cross-dataset evaluation.
Sergey Rodionov
Alexey Potapov
Hugo Latapie
Enzo Fenoglio
Maxim Peterson
07/23/2015--
04/27/2015
A sequential method of detecting abrupt changes in the correlation coefficient and its application to Bering Sea climate
A new method of regime shift detection in the correlation coefficient is
proposed. The method is designed to find multiple change-points with unknown
locations in time series. It signals a possible regime shift in real time and
allows for its monitoring. The method is tested on randomly generated time
series with predefined change-points. It is applied to examine structural
changes in the Bering Sea climate. A major shift is found in 1967, which
coincides with a transition from a zonal type of atmospheric circulation to a
meridional one. The roles of the Siberian and Alaskan centers of action on
winter temperatures in the eastern Bering Sea have been investigated.
Sergei Rodionov
02/29/2016--
02/29/2016
A comparison of two methods for detecting abrupt changes in the variance of climatic time series
Two methods for detecting abrupt shifts in the variance, Integrated
Cumulative Sum of Squares (ICSS) and Sequential Regime Shift Detector (SRSD),
have been compared on both synthetic and observed time series. In Monte Carlo
experiments, SRSD outperformed ICSS in the overwhelming majority of the
modelled scenarios with different sequences of variance regimes. The SRSD
advantage was particularly apparent in the case of outliers in the series. When
tested on climatic time series, in most cases both methods detected the same
change points in the longer series (252-787 monthly values). The only exception
was the Arctic Ocean SST series, when ICSS found one extra change point that
appeared to be spurious. As for the shorter time series (66-136 yearly values),
ICSS failed to detect any change points even when the variance doubled or
tripled from one regime to another. For these time series, SRSD is recommended.
Interestingly, all the climatic time series tested, from the Arctic to the
Tropics, had one thing in common: the last shift detected in each of these
series was toward a high-variance regime. This is consistent with other
findings of increased climate variability in recent decades.
Sergei Rodionov
12/21/2012--
09/22/2012
Universal algorithms for solving the matrix Bellman equations over semirings
This paper is a survey on universal algorithms for solving the matrix Bellman
equations over semirings and especially tropical and idempotent semirings.
However, original algorithms are also presented. Some applications and software
implementations are discussed.
Grigory L. Litvinov
Anatoly Ya. Rodionov
Sergei N. Sergeev
Andrei N. Sobolevski
04/26/2005--
04/26/2005
Optimal Choice of the Softening Length and Time-Step in N-body Simulations
A criterion for the choice of optimal softening length $\epsilon$ and
time-step $dt$ for $N$-body simulations of a collisionless stellar system is
analyzed. Plummer and Hernquist spheres are used as models to follow how
changes in various parameters of an initially equilibrium stable model depend
on $\epsilon$ and $dt$. These dependences are used to derive a criterion for
choosing $\epsilon$ and $dt$. The resulting criterion is compared to Merritt's
criterion for choosing the softening length, which is based on minimizing the
mean irregular force acting on a particle with unit mass. Our criterion for
choosing $\epsilon$ and $dt$ indicate that $\epsilon$ must be a factor of 1.5-2
smaller than the mean distance between particles in the densest regions to be
resolved. The time-step must always be adjusted to the chosen $\epsilon$ (the
particle must, on average, travel a distance smaller than $0.5\epsilon$ during
one time-step). An algorithm for solving N-body problems with adaptive
variations of the softening length is discussed in connection with the task of
choosing $\epsilon$, but is found not to be promising.
S. A. Rodionov
N. Ya. Sotnikova
09/06/2006--
09/06/2006
Estimating the Dark Halo Mass from the Relative Thickness of Stellar Disks
We analyze the relationship between the mass of a spherical component and the
minimum possible thickness of stable stellar disks. This relationship for real
galaxies allows the lower limit on the dark halo mass to be estimated (the
thinner the stable stellar disk is, the more massive the dark halo must be). In
our analysis, we use both theoretical relations and numerical N-body
simulations of the dynamical evolution of thin disks in the presence of
spherical components with different density profiles and different masses. We
conclude that the theoretical relationship between the thickness of disk
galaxies and the mass of their spherical components is a lower envelope for the
model data points. We recommend using this theoretical relationship to estimate
the lower limit for the dark halo mass in galaxies. The estimate obtained turns
out to be weak. Even for the thinnest galaxies, the dark halo mass within four
exponential disk scale lengths must be more than one stellar disk mass.
N. Ya. Sotnikova
S. A. Rodionov
06/15/2011--
06/15/2011
Extensions and applications of the iterative method
Aims: We aim to develop an algorithm for constructing equilibrium initial
conditions for simulations of disk galaxies with a triaxial halo and/or a
gaseous component. This will pave the way for N-body simulations of realistic
disk galaxies. Methods: We use the iterative method, which we presented in a
previous article. The idea of this method is very simple. It relies on
constrained evolution. Results: We develop an algorithm for constructing
equilibrium models of disk galaxies including a gaseous disk and a triaxial or
axisymmetric halo. We discuss two test models. The first model consists of a
spherical halo, a stellar disk, and an isothermal gaseous disk. The second
model consists of a triaxial halo, a stellar disk, and a star-forming gaseous
disk. We demonstrate that both test models are very close to equilibrium, as we
had intended.
S. A. Rodionov
E. Athanassoula
06/25/2013--
06/25/2013
Bending instability in galactic discs. Advocacy of the linear theory
We demonstrate that in N-body simulations of isolated disc galaxies there is
numerical vertical heating which slowly increases the vertical velocity
dispersion and the disc thickness. Even for models with over a million
particles in a disc, this heating can be significant. Such an effect is just
the same as in numerical experiments by Sellwood (2013). We also show that in a
stellar disc, outside a boxy/peanut bulge, if it presents, the saturation level
of the bending instability is rather close to the value predicted by the linear
theory. We pay attention to the fact that the bending instability develops and
decays very fast, so it couldn't play any role in secular vertical heating.
However the bending instability defines the minimal value of the ratio between
the vertical and radial velocity dispersions $\sigma_z / \sigma_R \approx 0.3$
(so indirectly the minimal thickness) which could have stellar discs in real
galaxies. We demonstrate that observations confirm last statement.
S. A. Rodionov
N. Ya. Sotnikova
12/07/2018--
12/07/2018
E' paramagnetic centers in nanoporous synthetic opals - a probe for near surface protons
The studies of chemical processes in spatially confined conditions are of
interest from the fundamental and industrial points of view. By means of the W
band EPR and 1H Mims electron nuclear double resonance (ENDOR) we show that the
radiation-induced paramagnetic centers (E') in the synthetic nanoporous silica
opals could be used as sensitive probes to investigate the surface modification
and, potentially, reactions of polymerization in the confined by opal pores.
Andrei Galukhin
Yuri Osin
Alexander Rodionov
Georgy Mamin
Marat Gafurov
Sergei Orlinskii
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