48,565 research outputs found
Knowledge Structures and Evidential Reasoning in Decision Analysis
The roles played by decision factors in making complex subject are decisions
are characterized by how these factors affect the overall decision. Evidence
that partially matches a factor is evaluated, and then effective computational
rules are applied to these roles to form an appropriate aggregation of the
evidence. The use of this technique supports the expression of deeper levels of
causality, and may also preserve the cognitive structure of the decision maker
better than the usual weighting methods, certainty-factor or other
probabilistic models can.Comment: Appears in Proceedings of the First Conference on Uncertainty in
Artificial Intelligence (UAI1985
Cram\'{e}r Type Moderate Deviation for the Maximum of the Periodogram with Application to Simultaneous Tests in Gene Expression Time Series
In this paper, Cram\'{e}r type moderate deviations for the maximum of the
periodogram and its studentized version are derived. The results are then
applied to a simultaneous testing problem in gene expression time series. It is
shown that the level of the simultaneous tests is accurate provided that the
number of genes and the sample size satisfy .Comment: Some constants in Lemma 4.1 are specified. Other context remains the
sam
Localization Guided Learning for Pedestrian Attribute Recognition
Pedestrian attribute recognition has attracted many attentions due to its
wide applications in scene understanding and person analysis from surveillance
videos. Existing methods try to use additional pose, part or viewpoint
information to complement the global feature representation for attribute
classification. However, these methods face difficulties in localizing the
areas corresponding to different attributes. To address this problem, we
propose a novel Localization Guided Network which assigns attribute-specific
weights to local features based on the affinity between proposals pre-extracted
proposals and attribute locations. The advantage of our model is that our local
features are learned automatically for each attribute and emphasized by the
interaction with global features. We demonstrate the effectiveness of our
Localization Guided Network on two pedestrian attribute benchmarks (PA-100K and
RAP). Our result surpasses the previous state-of-the-art in all five metrics on
both datasets.Comment: Accepted by BMVC 201
HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search
Vector quantization-based approaches are successful to solve Approximate
Nearest Neighbor (ANN) problems which are critical to many applications. The
idea is to generate effective encodings to allow fast distance approximation.
We propose quantization-based methods should partition the data space finely
and exhibit locality of the dataset to allow efficient non-exhaustive search.
In this paper, we introduce the concept of High Capacity Locality Aggregating
Encodings (HCLAE) to this end, and propose Dictionary Annealing (DA) to learn
HCLAE by a simulated annealing procedure. The quantization error is lower than
other state-of-the-art. The algorithms of DA can be easily extended to an
online learning scheme, allowing effective handle of large scale data. Further,
we propose Aggregating-Tree (A-Tree), a non-exhaustive search method using
HCLAE to perform efficient ANN-Search. A-Tree achieves magnitudes of speed-up
on ANN-Search tasks, compared to the state-of-the-art
Classifications and canonical forms of tensor product expressions in the presence of permutation symmetries
Complicated mathematical equations involving products of tensors with
permutation symmetries, frequently encountered in fields such as general
relativity and quantum chemistry (e.g., equations in high-order coupled cluster
theories), require computer-based automatic derivations and manipulations. In
these processes, a key step is the collection of tensor product terms that can
be found identical by utilizing permutation symmetries of tensors or relabeling
dummy indices, which is usually achieved by defining a canonical form for
tensor product expressions. However, the problem of finding a canonical form is
nontrivial, and can be potentially of exponential cost in the number of
indices. In this work, we provided a general solution to this tensor
canonicalization problem.Comment: 17 pages, 7 figure
Extended thermodynamics and microstructures of four-dimensional charged Gauss-Bonnet black hole in AdS space
The discovery of new four-dimensional black hole solutions presents a new
approach to understand the Gauss-Bonnet gravity in low dimensions. In this
paper, we test the Gauss-Bonnet gravity by studying the phase transition and
microstructures for the four-dimensional charged AdS black hole. In the
extended phase space, where the cosmological constant and the Gauss-Bonnet
coupling parameter are treated as thermodynamic variables, we find that the
thermodynamic first law and the corresponding Smarr formula are satisfied. Both
in the canonical ensemble and grand canonical ensemble, we observe the
small-large black hole phase transition, which is similar to the case of the
van der Walls fluid. This phase transition can also appear in the neutral black
hole system. Furthermore, we construct the Ruppeiner geometry, and find that
besides the attractive interaction, the repulsive interaction can also dominate
among the microstructures for the small black hole with high temperature in a
charged or neutral black hole system. This is quite different from the
five-dimensional neutral black hole, for which only dominant attractive
interaction can be found. The critical behaviors of the normalized scalar
curvature are also examined. These results will shed new light into the
characteristic property of four-dimensional Gauss-Bonnet gravity.Comment: 17 pages, 9 figures, and 2 tables, references added. Accepted for
publication in PR
Equatorial and quasi-equatorial gravitational lensing by Kerr black hole pierced by a cosmic string
In the present paper, we study numerically the equatorial lensing and
quasiequatorial lensing by Kerr black hole pierced by a cosmic string in the
strong deflection limit. We calculate the strong deflection limit coefficients
and the deflection angle, which are found to depend closely on the cosmic
string parameter and dimensionless spin . The magnification and
positions of relativistic images are also computed in the strong deflection
limit and a two-dimensional lens equation is derived. The most important and
outstanding effect is that the caustics drift away from the optical axis and
shift in the clockwise direction with respect to the Kerr black hole. For fixed
of the black hole, the caustics drift farther away from the optical
axis for a large value of . And for fixed , they drift farther
for high . We also obtain the intersections of the critical curves with
the equatorial plane, which decrease with and . In particular,
we obtain a quantity , which is independent of
the black hole spin and mass. Thus, through measuring it, one is allowed to
determine the value of from astronomical observations.Comment: 29 pages, 9 figure
Clapeyron equations and fitting formula of the coexistence curve in the extended phase space of charged AdS black holes
In this paper, we first review the equal area laws and Clapeyron equations in
the extended phase space of the charged anti-de Sitter black holes. With
different fixed parameters, the Maxwell's equal area law holds not only in the
pressure-thermodynamic volume oscillatory line, but also in the charge-electric
potential and temperature-entropy oscillatory lines. The conventional Clapeyron
equation is generalized and two extra equations are found. Moreover, we show
that the coexistence curve of the small and large charged black holes is charge
independent in the reduced parameter space for any dimension of spacetime. The
highly accurate fitting formula for the coexistence curve is also presented.
Using this fitting formula of the coexistence curve, we find that the Clapeyron
equations are highly consistent with the calculated values. The fitting formula
is also very useful for further study on the thermodynamic property of the
system varying along the coexistence curve.Comment: 13 pages, 7 figures, 2 tables. The coexistence curves are refitted,
and the figures and tables are changed accordingly. Accepted for publication
in PR
Implementing black hole as efficient power plant
Treating the black hole molecules as working substance and considering its
phase structure, we study the black hole heat engine by a charged anti-de
Sitter black hole. In the reduced temperature-entropy chart, it is found that
the work, heat, and efficiency of the engine are free of the black hole charge.
Applying the Rankine cycle with or without a back pressure mechanism to the
black hole heat engine, the compact formula for the efficiency is obtained. And
the heat, work and efficiency are worked out. The result shows that the black
hole engine working along the Rankine cycle with a back pressure mechanism has
a higher efficiency. This provides a novel and efficient mechanism to produce
the useful mechanical work, and such black hole heat engine may act as a
possible energy source for the high energy astrophysical phenomena near the
black hole.Comment: 17 pages, 6 figures, and 2 table
Area Spectrum of the Large AdS Black Hole from Quasinormal Modes
Using the new physical interpretation of quasinormal modes proposed by
Maggiore, we calculate the area and entropy spectra for the 3-dimensioal and
5-dimensional large AdS black holes. The spectra are obtained by imposing the
Bohr-Sommerfeld quantization condition to the adiabatic invariant quantity.
With this semiclassical method, we find that the spacings of the area and
entropy spectra are equidistant and independent of the AdS radius of the black
hole for both the cases. However, the spacings of the spectra are not the same
for different dimension of space-time. The equidistant area spectra will be
broken when the black hole has other parameters (i.e., charge and angular
momentum) or in a non-Einstein's gravity theory.Comment: 10 pages, no figure
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