title stringlengths 7 239 | abstract stringlengths 7 2.76k | cs int64 0 1 | phy int64 0 1 | math int64 0 1 | stat int64 0 1 | quantitative biology int64 0 1 | quantitative finance int64 0 1 |
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Hermitian-Yang-Mills connections on collapsing elliptically fibered $K3$ surfaces | Let $X\rightarrow {\mathbb P}^1$ be an elliptically fibered $K3$ surface with
a section, admitting a sequence of Ricci-flat metrics collapsing the fibers.
Let $\mathcal E$ be a generic, holomoprhic $SU(n)$ bundle over $X$ such that
the restriction of $\mathcal E$ to each fiber is semi-stable. Given a sequence
$\Xi_i$... | 0 | 0 | 1 | 0 | 0 | 0 |
Highly Efficient Human Action Recognition with Quantum Genetic Algorithm Optimized Support Vector Machine | In this paper we propose the use of quantum genetic algorithm to optimize the
support vector machine (SVM) for human action recognition. The Microsoft Kinect
sensor can be used for skeleton tracking, which provides the joints' position
data. However, how to extract the motion features for representing the dynamics
of... | 1 | 0 | 0 | 1 | 0 | 0 |
The Game Imitation: Deep Supervised Convolutional Networks for Quick Video Game AI | We present a vision-only model for gaming AI which uses a late integration
deep convolutional network architecture trained in a purely supervised
imitation learning context. Although state-of-the-art deep learning models for
video game tasks generally rely on more complex methods such as deep-Q
learning, we show that... | 1 | 0 | 0 | 0 | 0 | 0 |
Differential relations for almost Belyi maps | Several kinds of differential relations for polynomial components of almost
Belyi maps are presented. Saito's theory of free divisors give particularly
interesting (yet conjectural) logarithmic action of vector fields. The
differential relations implied by Kitaev's construction of algebraic Painleve
VI solutions thro... | 0 | 0 | 1 | 0 | 0 | 0 |
Non-commutative holomorphic semicocycles | This paper studies holomorphic semicocycles over semigroups in the unit disk,
which take values in an arbitrary unital Banach algebra. We prove that every
such semicocycle is a solution to a corresponding evolution problem. We then
investigate the linearization problem: which semicocycles are cohomologous to
constant... | 0 | 0 | 1 | 0 | 0 | 0 |
Comparative Study of Virtual Machines and Containers for DevOps Developers | In this work, we plan to develop a system to compare virtual machines with
container technology. We would devise ways to measure the administrator effort
of containers vs. Virtual Machines (VMs). Metrics that will be tested against
include human efforts required, ease of migration, resource utilization and
ease of us... | 1 | 0 | 0 | 0 | 0 | 0 |
Developmental tendencies in the Academic Field of Intellectual Property through the Identification of Invisible Colleges | The emergence of intellectual property as an academic issue opens a big gate
to a cross-disciplinary field. Different disciplines start a dialogue in the
framework of the international multilateral treaties in the early 90's. As
global economy demands new knowledge on intellectual property, Science grows at
its own p... | 1 | 1 | 0 | 0 | 0 | 0 |
Periodic fourth-order cubic NLS: Local well-posedness and Non-squeezing property | In this paper, we consider the cubic fourth-order nonlinear Schrödinger
equation (4NLS) under the periodic boundary condition. We prove two results.
One is the local well-posedness in $H^s$ with $-1/3 \le s < 0$ for the Cauchy
problem of the Wick ordered 4NLS. The other one is the non-squeezing property
for the flow ... | 0 | 0 | 1 | 0 | 0 | 0 |
Feature Learning for Meta-Paths in Knowledge Graphs | In this thesis, we study the problem of feature learning on heterogeneous
knowledge graphs. These features can be used to perform tasks such as link
prediction, classification and clustering on graphs. Knowledge graphs provide
rich semantics encoded in the edge and node types. Meta-paths consist of these
types and ab... | 1 | 0 | 0 | 1 | 0 | 0 |
Closed-Form Exact Inverses of the Weakly Singular and Hypersingular Operators On Disks | We introduce new boundary integral operators which are the exact inverses of
the weakly singular and hypersingular operators for the Laplacian on flat
disks. Moreover, we provide explicit closed forms for them and prove the
continuity and ellipticity of their corresponding bilinear forms in the natural
Sobolev trace ... | 0 | 0 | 1 | 0 | 0 | 0 |
Focus on Imaging Methods in Granular Physics | Granular materials are complex multi-particle ensembles in which macroscopic
properties are largely determined by inter-particle interactions between their
numerous constituents. In order to understand and to predict their macroscopic
physical behavior, it is necessary to analyze the composition and interactions
at t... | 0 | 1 | 0 | 0 | 0 | 0 |
The Stochastic Matching Problem: Beating Half with a Non-Adaptive Algorithm | In the stochastic matching problem, we are given a general (not necessarily
bipartite) graph $G(V,E)$, where each edge in $E$ is realized with some
constant probability $p > 0$ and the goal is to compute a bounded-degree
(bounded by a function depending only on $p$) subgraph $H$ of $G$ such that the
expected maximum ... | 1 | 0 | 0 | 0 | 0 | 0 |
Measuring the unmeasurable - a project of domestic violence risk prediction and management | The prevention of domestic violence (DV) have aroused serious concerns in
Taiwan because of the disparity between the increasing amount of reported DV
cases that doubled over the past decade and the scarcity of social workers.
Additionally, a large amount of data was collected when social workers use the
predominant ... | 1 | 0 | 0 | 0 | 0 | 0 |
Attaining Capacity with Algebraic Geometry Codes through the $(U|U+V)$ Construction and Koetter-Vardy Soft Decoding | In this paper we show how to attain the capacity of discrete symmetric
channels with polynomial time decoding complexity by considering iterated
$(U|U+V)$ constructions with Reed-Solomon code or algebraic geometry code
components. These codes are decoded with a recursive computation of the {\em a
posteriori} probabil... | 1 | 0 | 0 | 0 | 0 | 0 |
Embedded real-time monitoring using SystemC in IMA network | Avionics is one kind of domain where prevention prevails. Nonetheless fails
occur. Sometimes due to pilot misreacting, flooded in information. Sometimes
information itself would be better verified than trusted. To avoid some kind of
failure, it has been thought to add,in midst of the ARINC664 aircraft data
network, a... | 1 | 0 | 0 | 0 | 0 | 0 |
One pixel attack for fooling deep neural networks | Recent research has revealed that the output of Deep Neural Networks (DNN)
can be easily altered by adding relatively small perturbations to the input
vector. In this paper, we analyze an attack in an extremely limited scenario
where only one pixel can be modified. For that we propose a novel method for
generating on... | 1 | 0 | 0 | 1 | 0 | 0 |
A computer simulation of the Volga River hydrological regime: a problem of water-retaining dam optimal location | We investigate of a special dam optimal location at the Volga river in area
of the Akhtuba left sleeve beginning (7 \, km to the south of the Volga
Hydroelectric Power Station dam). We claim that a new water-retaining dam can
resolve the key problem of the Volga-Akhtuba floodplain related to insufficient
water amount... | 1 | 0 | 0 | 0 | 0 | 0 |
Multi-proton bunch driven hollow plasma wakefield acceleration in the nonlinear regime | Proton-driven plasma wakefield acceleration has been demonstrated in
simulations to be capable of accelerating particles to the energy frontier in a
single stage, but its potential is hindered by the fact that currently
available proton bunches are orders of magnitude longer than the plasma
wavelength. Fortunately, p... | 0 | 1 | 0 | 0 | 0 | 0 |
Self corrective Perturbations for Semantic Segmentation and Classification | Convolutional Neural Networks have been a subject of great importance over
the past decade and great strides have been made in their utility for producing
state of the art performance in many computer vision problems. However, the
behavior of deep networks is yet to be fully understood and is still an active
area of ... | 1 | 0 | 0 | 1 | 0 | 0 |
Large-Scale Mapping of Human Activity using Geo-Tagged Videos | This paper is the first work to perform spatio-temporal mapping of human
activity using the visual content of geo-tagged videos. We utilize a recent
deep-learning based video analysis framework, termed hidden two-stream
networks, to recognize a range of activities in YouTube videos. This framework
is efficient and ca... | 1 | 0 | 0 | 0 | 0 | 0 |
Structure of a Parabolic Partial Differential Equation on Graphs and Digital spaces. Solution of PDE on Digital Spaces: a Klein Bottle, a Projective Plane, a 4D Sphere and a Moebius Band | This paper studies the structure of a parabolic partial differential equation
on graphs and digital n-dimensional manifolds, which are digital models of
continuous n-manifolds. Conditions for the existence of solutions of equations
are determined and investigated. Numerical solutions of the equation on a Klein
bottle... | 1 | 0 | 1 | 0 | 0 | 0 |
GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks | In this paper, we generally formulate the dynamics prediction problem of
various network systems (e.g., the prediction of mobility, traffic and
topology) as the temporal link prediction task. Different from conventional
techniques of temporal link prediction that ignore the potential non-linear
characteristics and th... | 1 | 0 | 0 | 0 | 0 | 0 |
Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs | Graphs are an important tool to model data in different domains, including
social networks, bioinformatics and the world wide web. Most of the networks
formed in these domains are directed graphs, where all the edges have a
direction and they are not symmetric. Betweenness centrality is an important
index widely used... | 1 | 0 | 0 | 0 | 0 | 0 |
A multi-instrument non-parametric reconstruction of the electron pressure profile in the galaxy cluster CLJ1226.9+3332 | Context: In the past decade, sensitive, resolved Sunyaev-Zel'dovich (SZ)
studies of galaxy clusters have become common. Whereas many previous SZ studies
have parameterized the pressure profiles of galaxy clusters, non-parametric
reconstructions will provide insights into the thermodynamic state of the
intracluster me... | 0 | 1 | 0 | 0 | 0 | 0 |
Recognizing Union-Find trees built up using union-by-rank strategy is NP-complete | Disjoint-Set forests, consisting of Union-Find trees, are data structures
having a widespread practical application due to their efficiency. Despite them
being well-known, no exact structural characterization of these trees is known
(such a characterization exists for Union trees which are constructed without
using p... | 1 | 0 | 0 | 0 | 0 | 0 |
A Competitive Algorithm for Online Multi-Robot Exploration of a Translating Plume | In this paper, we study the problem of exploring a translating plume with a
team of aerial robots. The shape and the size of the plume are unknown to the
robots. The objective is to find a tour for each robot such that they
collectively explore the plume. Specifically, the tours must be such that each
point in the pl... | 1 | 0 | 0 | 0 | 0 | 0 |
Warped Riemannian metrics for location-scale models | The present paper shows that warped Riemannian metrics, a class of Riemannian
metrics which play a prominent role in Riemannian geometry, are also of
fundamental importance in information geometry. Precisely, the paper features a
new theorem, which states that the Rao-Fisher information metric of any
location-scale m... | 0 | 0 | 1 | 1 | 0 | 0 |
Admissibility of solution estimators for stochastic optimization | We look at stochastic optimization problems through the lens of statistical
decision theory. In particular, we address admissibility, in the statistical
decision theory sense, of the natural sample average estimator for a stochastic
optimization problem (which is also known as the empirical risk minimization
(ERM) ru... | 0 | 0 | 1 | 1 | 0 | 0 |
Min-Max Regret Scheduling To Minimize the Total Weight of Late Jobs With Interval Uncertainty | We study the single machine scheduling problem with the objective to minimize
the total weight of late jobs. It is assumed that the processing times of jobs
are not exactly known at the time when a complete schedule must be dispatched.
Instead, only interval bounds for these parameters are given. In contrast to
the s... | 1 | 0 | 0 | 0 | 0 | 0 |
Correcting rural building annotations in OpenStreetMap using convolutional neural networks | Rural building mapping is paramount to support demographic studies and plan
actions in response to crisis that affect those areas. Rural building
annotations exist in OpenStreetMap (OSM), but their quality and quantity are
not sufficient for training models that can create accurate rural building
maps. The problems w... | 1 | 0 | 0 | 0 | 0 | 0 |
Closed-form Harmonic Contrast Control with Surface Impedance Coatings for Conductive Objects | The problem of suppressing the scattering from conductive objects is
addressed in terms of harmonic contrast reduction. A unique compact closed-form
solution for a surface impedance $Z_s(m,kr)$ is found in a straightforward
manner and without any approximation as a function of the harmonic index $m$
(scattering mode ... | 0 | 1 | 0 | 0 | 0 | 0 |
Numerical methods to prevent pressure oscillations in transcritical flows | The accurate and robust simulation of transcritical real-fluid effects is
crucial for many engineering applications, such as fuel injection in internal
combustion engines, rocket engines and gas turbines. For example, in diesel
engines, the liquid fuel is injected into the ambient gas at a pressure that
exceeds its c... | 0 | 1 | 0 | 0 | 0 | 0 |
Shape Convergence for Aggregate Tiles in Conformal Tilings | Given a substitution tiling $T$ of the plane with subdivision operator
$\tau$, we study the conformal tilings $\mathcal{T}_n$ associated with $\tau^n
T$. We prove that aggregate tiles within $\mathcal{T}_n$ converge in shape as
$n\rightarrow \infty$ to their associated Euclidean tiles in $T$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Performance and sensitivity of vortex coronagraphs on segmented space telescopes | The detection of molecular species in the atmospheres of earth-like
exoplanets orbiting nearby stars requires an optical system that suppresses
starlight and maximizes the sensitivity to the weak planet signals at small
angular separations. Achieving sufficient contrast performance on a segmented
aperture space teles... | 0 | 1 | 0 | 0 | 0 | 0 |
Classical Spacetime Structure | I discuss several issues related to "classical" spacetime structure. I review
Galilean, Newtonian, and Leibnizian spacetimes, and briefly describe more
recent developments. The target audience is undergraduates and early graduate
students in philosophy; the presentation avoids mathematical formalism as much
as possib... | 0 | 1 | 0 | 0 | 0 | 0 |
Fractal curves from prime trigonometric series | We study the convergence of the parameter family of series
$$V_{\alpha,\beta}(t)=\sum_{p}p^{-\alpha}\exp(2\pi i p^{\beta}t),\quad
\alpha,\beta \in \mathbb{R}_{>0},\; t \in [0,1)$$ defined over prime numbers
$p$, and subsequently, their differentiability properties. The visible fractal
nature of the graphs as a functi... | 0 | 0 | 1 | 0 | 0 | 0 |
Facets on the convex hull of $d$-dimensional Brownian and Lévy motion | For stationary, homogeneous Markov processes (viz., Lévy processes,
including Brownian motion) in dimension $d\geq 3$, we establish an exact
formula for the average number of $(d-1)$-dimensional facets that can be
defined by $d$ points on the process's path. This formula defines a
universality class in that it is ind... | 0 | 1 | 1 | 0 | 0 | 0 |
Local systems on complements of arrangements of smooth, complex algebraic hypersurfaces | We consider smooth, complex quasi-projective varieties $U$ which admit a
compactification with a boundary which is an arrangement of smooth algebraic
hypersurfaces. If the hypersurfaces intersect locally like hyperplanes, and the
relative interiors of the hypersurfaces are Stein manifolds, we prove that the
cohomolog... | 0 | 0 | 1 | 0 | 0 | 0 |
Some Open Problems in Random Matrix Theory and the Theory of Integrable Systems. II | We describe a list of open problems in random matrix theory and the theory of
integrable systems that was presented at the conference Asymptotics in
Integrable Systems, Random Matrices and Random Processes and Universality,
Centre de Recherches Mathematiques, Montreal, June 7-11, 2015. We also describe
progress that ... | 0 | 1 | 1 | 0 | 0 | 0 |
A semi-parametric estimation for max-mixture spatial processes | We proposed a semi-parametric estimation procedure in order to estimate the
parameters of a max-mixture model and also of a max-stable model (inverse
max-stable model) as an alternative to composite likelihood. A good estimation
by the proposed estimator required the dependence measure to detect all
dependence struct... | 0 | 0 | 1 | 1 | 0 | 0 |
Spectroscopic Observation and Analysis of HII regions in M33 with MMT: Temperatures and Oxygen Abundances | The spectra of 413 star-forming (or HII) regions in M33 (NGC 598) were
observed by using the multifiber spectrograph of Hectospec at the 6.5-m
Multiple Mirror Telescope (MMT). By using this homogeneous spectra sample, we
measured the intensities of emission lines and some physical parameters, such
as electron tempera... | 0 | 1 | 0 | 0 | 0 | 0 |
Output-only parameter identification of a colored-noise-driven Van der Pol oscillator -- Thermoacoustic instabilities as an example | The problem of output-only parameter identification for nonlinear oscillators
forced by colored noise is considered. In this context, it is often assumed
that the forcing noise is white, since its actual spectral content is unknown.
The impact of this white noise forcing assumption upon parameter identification
is qu... | 0 | 1 | 0 | 0 | 0 | 0 |
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy | Over half a million individuals are diagnosed with head and neck cancer each
year worldwide. Radiotherapy is an important curative treatment for this
disease, but it requires manually intensive delineation of radiosensitive
organs at risk (OARs). This planning process can delay treatment commencement.
While auto-segm... | 0 | 0 | 0 | 1 | 0 | 0 |
Anomaly Detection in Hierarchical Data Streams under Unknown Models | We consider the problem of detecting a few targets among a large number of
hierarchical data streams. The data streams are modeled as random processes
with unknown and potentially heavy-tailed distributions. The objective is an
active inference strategy that determines, sequentially, which data stream to
collect samp... | 1 | 0 | 0 | 0 | 0 | 0 |
Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning | A number of image-processing problems can be formulated as optimization
problems. The objective function typically contains several terms specifically
designed for different purposes. Parameters in front of these terms are used to
control the relative weights among them. It is of critical importance to tune
these par... | 0 | 1 | 0 | 0 | 0 | 0 |
Adversarial Examples that Fool Detectors | An adversarial example is an example that has been adjusted to produce a
wrong label when presented to a system at test time. To date, adversarial
example constructions have been demonstrated for classifiers, but not for
detectors. If adversarial examples that could fool a detector exist, they could
be used to (for e... | 1 | 0 | 0 | 0 | 0 | 0 |
FLUX: Progressive State Estimation Based on Zakai-type Distributed Ordinary Differential Equations | We propose a homotopy continuation method called FLUX for approximating
complicated probability density functions. It is based on progressive
processing for smoothly morphing a given density into the desired one.
Distributed ordinary differential equations (DODEs) with an artificial time
$\gamma \in [0,1]$ are derive... | 1 | 0 | 0 | 0 | 0 | 0 |
Direct and mediating influences of user-developer perception gaps in requirements understanding on user participation | User participation is considered an effective way to conduct requirements
engineering, but user-developer perception gaps in requirements understanding
occur frequently. Since user participation in practice is not as active as we
expect and the requirements perception gap has been recognized as a risk that
negatively... | 1 | 0 | 0 | 0 | 0 | 0 |
Equivariant Schrödinger maps from two dimensional hyperbolic space | In this article, we consider the equivariant Schrödinger map from $\Bbb
H^2$ to $\Bbb S^2$ which converges to the north pole of $\Bbb S^2$ at the
origin and spatial infinity of the hyperbolic space. If the energy of the data
is less than $4\pi$, we show that the local existence of Schrödinger map.
Furthermore, if the... | 0 | 0 | 1 | 0 | 0 | 0 |
A fast numerical method for ideal fluid flow in domains with multiple stirrers | A collection of arbitrarily-shaped solid objects, each moving at a constant
speed, can be used to mix or stir ideal fluid, and can give rise to interesting
flow patterns. Assuming these systems of fluid stirrers are two-dimensional,
the mathematical problem of resolving the flow field - given a particular
distributio... | 0 | 0 | 1 | 0 | 0 | 0 |
A Short Survey on Probabilistic Reinforcement Learning | A reinforcement learning agent tries to maximize its cumulative payoff by
interacting in an unknown environment. It is important for the agent to explore
suboptimal actions as well as to pick actions with highest known rewards. Yet,
in sensitive domains, collecting more data with exploration is not always
possible, b... | 1 | 0 | 0 | 1 | 0 | 0 |
Modification of low-temperature silicon dioxide films under the influence of technology factors | The structure, composition and electrophysical characteristics of
low-temperature silicon dioxide films under influence of various technology
factors, such as ion implantation, laser irradiation, thermal and photonic
annealing, have been studied. Silicon dioxide films have been obtained by
monosilane oxidation using ... | 0 | 1 | 0 | 0 | 0 | 0 |
GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger | This work describes the development of a high-resolution tactile-sensing
finger for robot grasping. This finger, inspired by previous GelSight sensing
techniques, features an integration that is slimmer, more robust, and with more
homogeneous output than previous vision-based tactile sensors. To achieve a
compact int... | 1 | 0 | 0 | 0 | 0 | 0 |
The Muon g-2 experiment at Fermilab | The upcoming Fermilab E989 experiment will measure the muon anomalous
magnetic moment $a_{\mu}$ . This measurement is motivated by the previous
measurement performed in 2001 by the BNL E821 experiment that reported a 3-4
standard deviation discrepancy between the measured value and the Standard
Model prediction. The ... | 0 | 1 | 0 | 0 | 0 | 0 |
Ringel duality as an instance of Koszul duality | In their previous work, S. Koenig, S. Ovsienko and the second author showed
that every quasi-hereditary algebra is Morita equivalent to the right algebra,
i.e. the opposite algebra of the left dual, of a coring. Let $A$ be an
associative algebra and $V$ an $A$-coring whose right algebra $R$ is
quasi-hereditary. In th... | 0 | 0 | 1 | 0 | 0 | 0 |
Bypass Fraud Detection: Artificial Intelligence Approach | Telecom companies are severely damaged by bypass fraud or SIM boxing.
However, there is a shortage of published research to tackle this problem. The
traditional method of Test Call Generating is easily overcome by fraudsters and
the need for more sophisticated ways is inevitable. In this work, we are
developing intel... | 1 | 0 | 0 | 0 | 0 | 0 |
Absence of cyclotron resonance in the anomalous metallic phase in InO$_x$ | It is observed that many thin superconducting films with not too high
disorder level (generally R$_N/\Box \leq 2000 \Omega$) placed in magnetic field
show an anomalous metallic phase where the resistance is low but still finite
as temperature goes to zero. Here we report in weakly disordered amorphous
InO$_x$ thin fi... | 0 | 1 | 0 | 0 | 0 | 0 |
Scenario Reduction Revisited: Fundamental Limits and Guarantees | The goal of scenario reduction is to approximate a given discrete
distribution with another discrete distribution that has fewer atoms. We
distinguish continuous scenario reduction, where the new atoms may be chosen
freely, and discrete scenario reduction, where the new atoms must be chosen
from among the existing on... | 0 | 0 | 1 | 0 | 0 | 0 |
Testing the science/technology relationship by analysis of patent citations of scientific papers after decomposition of both science and technology | The relationship of scientific knowledge development to technological
development is widely recognized as one of the most important and complex
aspects of technological evolution. This paper adds to our understanding of the
relationship through use of a more rigorous structure for differentiating among
technologies b... | 1 | 1 | 0 | 0 | 0 | 0 |
The Informativeness of $k$-Means and Dimensionality Reduction for Learning Mixture Models | The learning of mixture models can be viewed as a clustering problem. Indeed,
given data samples independently generated from a mixture of distributions, we
often would like to find the correct target clustering of the samples according
to which component distribution they were generated from. For a clustering
proble... | 1 | 0 | 0 | 1 | 0 | 0 |
A Mention-Ranking Model for Abstract Anaphora Resolution | Resolving abstract anaphora is an important, but difficult task for text
understanding. Yet, with recent advances in representation learning this task
becomes a more tangible aim. A central property of abstract anaphora is that it
establishes a relation between the anaphor embedded in the anaphoric sentence
and its (... | 1 | 0 | 0 | 1 | 0 | 0 |
Harmonic density interpolation methods for high-order evaluation of Laplace layer potentials in 2D and 3D | We present an effective harmonic density interpolation method for the
numerical evaluation of singular and nearly singular Laplace boundary integral
operators and layer potentials in two and three spatial dimensions. The method
relies on the use of Green's third identity and local Taylor-like
interpolations of densit... | 0 | 1 | 0 | 0 | 0 | 0 |
Stochastic Low-Rank Bandits | Many problems in computer vision and recommender systems involve low-rank
matrices. In this work, we study the problem of finding the maximum entry of a
stochastic low-rank matrix from sequential observations. At each step, a
learning agent chooses pairs of row and column arms, and receives the noisy
product of their... | 1 | 0 | 0 | 1 | 0 | 0 |
Temporal resolution of a pre-maximum halt in a Classical Nova: V5589 Sgr observed with STEREO HI-1B | Classical novae show a rapid rise in optical brightness over a few hours.
Until recently the rise phase, particularly the phenomenon of a pre-maximum
halt, was observed sporadically. Solar observation satellites observing Coronal
Mass Ejections enable us to observe the pre-maximum phase in unprecedented
temporal reso... | 0 | 1 | 0 | 0 | 0 | 0 |
The Thermophysical Properties of the Bagnold Dunes, Mars: Ground-truthing Orbital Data | In this work, we compare the thermophysical properties and particle sizes
derived from the Mars Science Laboratory (MSL) rover's Ground Temperature
Sensor (GTS) of the Bagnold dunes, specifically Namib dune, to those derived
orbitally from Thermal Emission Imaging System (THEMIS), ultimately linking
these measurement... | 0 | 1 | 0 | 0 | 0 | 0 |
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank | Recovering low-rank structures via eigenvector perturbation analysis is a
common problem in statistical machine learning, such as in factor analysis,
community detection, ranking, matrix completion, among others. While a large
variety of results provide tight bounds on the average errors between empirical
and populat... | 0 | 0 | 1 | 1 | 0 | 0 |
Algorithmic Trading with Fitted Q Iteration and Heston Model | We present the use of the fitted Q iteration in algorithmic trading. We show
that the fitted Q iteration helps alleviate the dimension problem that the
basic Q-learning algorithm faces in application to trading. Furthermore, we
introduce a procedure including model fitting and data simulation to enrich
training data ... | 0 | 0 | 0 | 0 | 0 | 1 |
Superrigidity of actions on finite rank median spaces | Finite rank median spaces are a simultaneous generalisation of finite
dimensional CAT(0) cube complexes and real trees. If $\Gamma$ is an irreducible
lattice in a product of rank one simple Lie groups, we show that every action
of $\Gamma$ on a complete, finite rank median space has a global fixed point.
This is in s... | 0 | 0 | 1 | 0 | 0 | 0 |
Detecting and Explaining Causes From Text For a Time Series Event | Explaining underlying causes or effects about events is a challenging but
valuable task. We define a novel problem of generating explanations of a time
series event by (1) searching cause and effect relationships of the time series
with textual data and (2) constructing a connecting chain between them to
generate an ... | 1 | 0 | 0 | 0 | 0 | 0 |
Mailbox Types for Unordered Interactions | We propose a type system for reasoning on protocol conformance and deadlock
freedom in networks of processes that communicate through unordered mailboxes.
We model these networks in the mailbox calculus, a mild extension of the
asynchronous {\pi}-calculus with first-class mailboxes and selective input. The
calculus s... | 1 | 0 | 0 | 0 | 0 | 0 |
The Complexity of Counting Surjective Homomorphisms and Compactions | A homomorphism from a graph G to a graph H is a function from the vertices of
G to the vertices of H that preserves edges. A homomorphism is surjective if it
uses all of the vertices of H and it is a compaction if it uses all of the
vertices of H and all of the non-loop edges of H. Hell and Nesetril gave a
complete c... | 1 | 0 | 0 | 0 | 0 | 0 |
A recursive algorithm and a series expansion related to the homogeneous Boltzmann equation for hard potentials with angular cutoff | We consider the spatially homogeneous Boltzmann equation for hard potentials
with angular cutoff. This equation has a unique conservative weak solution
$(f_t)_{t\geq 0}$, once the initial condition $f_0$ with finite mass and energy
is fixed. Taking advantage of the energy conservation, we propose a recursive
algorith... | 0 | 0 | 1 | 0 | 0 | 0 |
Periodic auxetics: Structure and design | Materials science has adopted the term of auxetic behavior for structural
deformations where stretching in some direction entails lateral widening,
rather than lateral shrinking. Most studies, in the last three decades, have
explored repetitive or cellular structures and used the notion of negative
Poisson's ratio as... | 0 | 0 | 1 | 0 | 0 | 0 |
Asymptotics of maximum likelihood estimation for stable law with $(M)$ parameterization | Asymptotics of maximum likelihood estimation for $\alpha$-stable law are
analytically investigated with $(M)$ parameterization. The consistency and
asymptotic normality are shown on the interior of the whole parameter space.
Although these asymptotics have been proved with $(B)$ parameterization, there
are several ga... | 0 | 0 | 1 | 1 | 0 | 0 |
Enabling Massive Deep Neural Networks with the GraphBLAS | Deep Neural Networks (DNNs) have emerged as a core tool for machine learning.
The computations performed during DNN training and inference are dominated by
operations on the weight matrices describing the DNN. As DNNs incorporate more
stages and more nodes per stage, these weight matrices may be required to be
sparse... | 1 | 0 | 0 | 0 | 0 | 0 |
Univariate and Bivariate Geometric Discrete Generalized Exponential Distributions | Marshall and Olkin (1997, Biometrika, 84, 641 - 652) introduced a very
powerful method to introduce an additional parameter to a class of continuous
distribution functions and hence it brings more flexibility to the model. They
have demonstrated their method for the exponential and Weibull classes. In the
same paper ... | 0 | 0 | 0 | 1 | 0 | 0 |
What Can Machine Learning Teach Us about Communications? | Rapid improvements in machine learning over the past decade are beginning to
have far-reaching effects. For communications, engineers with limited domain
expertise can now use off-the-shelf learning packages to design
high-performance systems based on simulations. Prior to the current revolution
in machine learning, ... | 1 | 0 | 0 | 1 | 0 | 0 |
Global stability of a network-based SIRS epidemic model with nonmonotone incidence rate | This paper studies the dynamics of a network-based SIRS epidemic model with
vaccination and a nonmonotone incidence rate. This type of nonlinear incidence
can be used to describe the psychological or inhibitory effect from the
behavioral change of the susceptible individuals when the number of infective
individuals o... | 0 | 0 | 0 | 0 | 1 | 0 |
Slicewise definability in first-order logic with bounded quantifier rank | For every $q\in \mathbb N$ let $\textrm{FO}_q$ denote the class of sentences
of first-order logic FO of quantifier rank at most $q$. If a graph property can
be defined in $\textrm{FO}_q$, then it can be decided in time $O(n^q)$. Thus,
minimizing $q$ has favorable algorithmic consequences. Many graph properties
amount... | 1 | 0 | 0 | 0 | 0 | 0 |
The efficiency of community detection by most similar node pairs | Community analysis is an important way to ascertain whether or not a complex
system consists of sub-structures with different properties. In this paper, we
give a two level community structure analysis for the SSCI journal system by
most similar co-citation pattern. Five different strategies for the selection
of most... | 1 | 0 | 0 | 0 | 0 | 0 |
Composite Adaptive Control for Bilateral Teleoperation Systems without Persistency of Excitation | Composite adaptive control schemes, which use both the system tracking errors
and the prediction error to drive the update laws, have become widespread in
achieving an improvement of system performance. However, a strong
persistent-excitation (PE) condition should be satisfied to guarantee the
parameter convergence. ... | 1 | 0 | 0 | 0 | 0 | 0 |
Infinitely many periodic orbits just above the Mañé critical value on the 2-sphere | We introduce a new critical value $c_\infty(L)$ for Tonelli Lagrangians $L$
on the tangent bundle of the 2-sphere without minimizing measures supported on
a point. We show that $c_\infty(L)$ is strictly larger than the Mañé
critical value $c(L)$, and on every energy level $e\in(c(L),c_\infty(L))$ there
exist infinite... | 0 | 0 | 1 | 0 | 0 | 0 |
Decentralized Random Walk-Based Data Collection in Networks | We analyze a decentralized random walk-based algorithm for data collection at
the sink in a multi-hop sensor network. Our algorithm, Random-Collect, which
involves data packets being passed to random neighbors in the network according
to a random walk mechanism, requires no configuration and incurs no routing
overhea... | 1 | 0 | 0 | 0 | 0 | 0 |
The Fan Region at 1.5 GHz. I: Polarized synchrotron emission extending beyond the Perseus Arm | The Fan Region is one of the dominant features in the polarized radio sky,
long thought to be a local (distance < 500 pc) synchrotron feature. We present
1.3-1.8 GHz polarized radio continuum observations of the region from the
Global Magneto-Ionic Medium Survey (GMIMS) and compare them to maps of Halpha
and polarize... | 0 | 1 | 0 | 0 | 0 | 0 |
The redshift distribution of cosmological samples: a forward modeling approach | Determining the redshift distribution $n(z)$ of galaxy samples is essential
for several cosmological probes including weak lensing. For imaging surveys,
this is usually done using photometric redshifts estimated on an
object-by-object basis. We present a new approach for directly measuring the
global $n(z)$ of cosmol... | 0 | 1 | 0 | 0 | 0 | 0 |
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks | In this paper we develop a novel computational sensing framework for sensing
and recovering structured signals. When trained on a set of representative
signals, our framework learns to take undersampled measurements and recover
signals from them using a deep convolutional neural network. In other words, it
learns a t... | 1 | 0 | 0 | 1 | 0 | 0 |
Robotic frameworks, architectures and middleware comparison | Nowadays, the construction of a complex robotic system requires a high level
of specialization in a large number of diverse scientific areas. It is
reasonable that a single researcher cannot create from scratch the entirety of
this system, as it is impossible for him to have the necessary skills in the
necessary fiel... | 1 | 0 | 0 | 0 | 0 | 0 |
Analysis of equivalence relation in joint sparse recovery | The joint sparse recovery problem is a generalization of the single
measurement vector problem which is widely studied in Compressed Sensing and it
aims to recovery a set of jointly sparse vectors. i.e. have nonzero entries
concentrated at common location. Meanwhile l_p-minimization subject to matrices
is widely used... | 1 | 0 | 1 | 0 | 0 | 0 |
The Stochastic Firefighter Problem | The dynamics of infectious diseases spread is crucial in determining their
risk and offering ways to contain them. We study sequential vaccination of
individuals in networks. In the original (deterministic) version of the
Firefighter problem, a fire breaks out at some node of a given graph. At each
time step, b nodes... | 1 | 0 | 0 | 0 | 0 | 0 |
The phase space structure of the oligopoly dynamical system by means of Darboux integrability | We investigate the dynamical complexity of Cournot oligopoly dynamics of
three firms by using the qualitative methods of dynamical systems to study the
phase structure of this model. The phase space is organized with
one-dimensional and two-dimensional invariant submanifolds (for the monopoly
and duopoly) and unique ... | 0 | 1 | 0 | 0 | 0 | 0 |
Generalizations of the 'Linear Chain Trick': Incorporating more flexible dwell time distributions into mean field ODE models | Mathematical modelers have long known of a "rule of thumb" referred to as the
Linear Chain Trick (LCT; aka the Gamma Chain Trick): a technique used to
construct mean field ODE models from continuous-time stochastic state
transition models where the time an individual spends in a given state (i.e.,
the dwell time) is ... | 0 | 0 | 0 | 0 | 1 | 0 |
Life and work of Egbert Brieskorn (1936 - 2013) | Egbert Brieskorn died on July 11, 2013, a few days after his 77th birthday.
He was an impressive personality who has left a lasting impression on all who
knew him, whether inside or outside of mathematics. Brieskorn was a great
mathematician, but his interests, his knowledge, and activities ranged far
beyond mathemat... | 0 | 0 | 1 | 0 | 0 | 0 |
Resource Allocation for a Full-Duplex Base Station Aided OFDMA System | Exploiting full-duplex (FD) technology on base stations (BSs) is a promising
solution to enhancing the system performance. Motivated by this, we revisit a
full-duplex base station (FD-BS) aided OFDMA system, which consists of one BS,
several uplink/downlink users and multiple subcarriers. A joint 3-dimensional
(3D) m... | 1 | 0 | 0 | 0 | 0 | 0 |
Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments | We consider task and motion planning in complex dynamic environments for
problems expressed in terms of a set of Linear Temporal Logic (LTL)
constraints, and a reward function. We propose a methodology based on
reinforcement learning that employs deep neural networks to learn low-level
control policies as well as tas... | 1 | 0 | 0 | 0 | 0 | 0 |
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition | Recently, deep neural networks (DNNs) have been regarded as the
state-of-the-art classification methods in a wide range of applications,
especially in image classification. Despite the success, the huge number of
parameters blocks its deployment to situations with light computing resources.
Researchers resort to the ... | 1 | 0 | 0 | 1 | 0 | 0 |
Resampling Strategy in Sequential Monte Carlo for Constrained Sampling Problems | Sequential Monte Carlo (SMC) methods are a class of Monte Carlo methods that
are used to obtain random samples of a high dimensional random variable in a
sequential fashion. Many problems encountered in applications often involve
different types of constraints. These constraints can make the problem much
more challen... | 0 | 0 | 0 | 1 | 0 | 0 |
Transverse Shift in Andreev Reflection | An incoming electron is reflected back as a hole at a
normal-metal-superconductor interface, a process known as Andreev reflection.
We predict that there exists a universal transverse shift in this process due
to the effect of spin-orbit coupling in the normal metal. Particularly, using
both the scattering approach a... | 0 | 1 | 0 | 0 | 0 | 0 |
Production of Entanglement Entropy by Decoherence | We examine the dynamics of entanglement entropy of all parts in an open
system consisting of a two-level dimer interacting with an environment of
oscillators. The dimer-environment interaction is almost energy conserving. We
find the precise link between decoherence and production of entanglement
entropy. We show tha... | 0 | 1 | 0 | 0 | 0 | 0 |
Aggressive Economic Incentives and Physical Activity: The Role of Choice and Technology Decision Aids | Aggressive incentive schemes that allow individuals to impose economic
punishment on themselves if they fail to meet health goals present a promising
approach for encouraging healthier behavior. However, the element of choice
inherent in these schemes introduces concerns that only non-representative
sectors of the po... | 0 | 0 | 0 | 0 | 0 | 1 |
Dynamics of resonances and equilibria of Low Earth Objects | The nearby space surrounding the Earth is densely populated by artificial
satellites and instruments, whose orbits are distributed within the
Low-Earth-Orbit region (LEO), ranging between 90 and 2 000 $km$ of altitude. As
a consequence of collisions and fragmentations, many space debris of different
sizes are left in... | 0 | 1 | 0 | 0 | 0 | 0 |
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