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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Coherent control of flexural vibrations in dual-nanoweb fibers using phase-modulated two-frequency light | Coherent control of the resonant response in spatially extended
optomechanical structures is complicated by the fact that the optical drive is
affected by the back-action from the generated phonons. Here we report a new
approach to coherent control based on stimulated Raman-like scattering, in
which the optical press... | 0 | 1 | 0 | 0 | 0 | 0 |
Static and Dynamic Magnetic Properties of FeMn/Pt Multilayers | Recently we have demonstrated the presence of spin-orbit toque in FeMn/Pt
multilayers which, in combination with the anisotropy field, is able to rotate
its magnetization consecutively from 0o to 360o without any external field.
Here, we report on an investigation of static and dynamic magnetic properties
of FeMn/Pt ... | 0 | 1 | 0 | 0 | 0 | 0 |
Ultraproducts of crossed product von Neumann algebras | We study a relationship between the ultraproduct of a crossed product von
Neumann algebra and the crossed product of an ultraproduct von Neumann algebra.
As an application, the continuous core of an ultraproduct von Neumann algebra
is described.
| 0 | 0 | 1 | 0 | 0 | 0 |
Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing | A fundamental issue for statistical classification models in a streaming
environment is that the joint distribution between predictor and response
variables changes over time (a phenomenon also known as concept drifts), such
that their classification performance deteriorates dramatically. In this paper,
we first pres... | 1 | 0 | 0 | 1 | 0 | 0 |
Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values | The problem of machine learning with missing values is common in many areas.
A simple approach is to first construct a dataset without missing values simply
by discarding instances with missing entries or by imputing a fixed value for
each missing entry, and then train a prediction model with the new dataset. A
drawb... | 0 | 0 | 0 | 1 | 0 | 0 |
Methods for Interpreting and Understanding Deep Neural Networks | This paper provides an entry point to the problem of interpreting a deep
neural network model and explaining its predictions. It is based on a tutorial
given at ICASSP 2017. It introduces some recently proposed techniques of
interpretation, along with theory, tricks and recommendations, to make most
efficient use of ... | 1 | 0 | 0 | 1 | 0 | 0 |
Passive Classification of Source Printer using Text-line-level Geometric Distortion Signatures from Scanned Images of Printed Documents | In this digital era, one thing that still holds the convention is a printed
archive. Printed documents find their use in many critical domains such as
contract papers, legal tenders and proof of identity documents. As more
advanced printing, scanning and image editing techniques are becoming
available, forgeries on t... | 1 | 0 | 0 | 0 | 0 | 0 |
The duration of load effect in lumber as stochastic degradation | This paper proposes a gamma process for modelling the damage that accumulates
over time in the lumber used in structural engineering applications when stress
is applied. The model separates the stochastic processes representing features
internal to the piece of lumber on the one hand, from those representing
external... | 0 | 0 | 0 | 1 | 0 | 0 |
Partial Bridging of Vaccine Efficacy to New Populations | Suppose one has data from one or more completed vaccine efficacy trials and
wishes to estimate the efficacy in a new setting. Often logistical or ethical
considerations make running another efficacy trial impossible. Fortunately, if
there is a biomarker that is the primary modifier of efficacy, then the
biomarker-con... | 0 | 0 | 0 | 1 | 0 | 0 |
An induced map between rationalized classifying spaces for fibrations | Let $B{ aut}_1X$ be the Dold-Lashof classifying space of orientable
fibrations with fiber $X$. For a rationally weakly trivial map $f:X\to Y$, our
strictly induced map $a_f: (Baut_1X)_0\to (Baut_1Y)_0$ induces a natural map
from a $X_0$-fibration to a $Y_0$-fibration. It is given by a map between the
differential gra... | 0 | 0 | 1 | 0 | 0 | 0 |
The Statistical Recurrent Unit | Sophisticated gated recurrent neural network architectures like LSTMs and
GRUs have been shown to be highly effective in a myriad of applications. We
develop an un-gated unit, the statistical recurrent unit (SRU), that is able to
learn long term dependencies in data by only keeping moving averages of
statistics. The ... | 1 | 0 | 0 | 1 | 0 | 0 |
Many-body localization in the droplet spectrum of the random XXZ quantum spin chain | We study many-body localization properties of the disordered XXZ spin chain
in the Ising phase. Disorder is introduced via a random magnetic field in the
$z$-direction. We prove a strong form of dynamical exponential clustering for
eigenstates in the droplet spectrum: For any pair of local observables
separated by a ... | 0 | 0 | 1 | 0 | 0 | 0 |
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices | Deep neural networks show great potential as solutions to many sensing
application problems, but their excessive resource demand slows down execution
time, pausing a serious impediment to deployment on low-end devices. To address
this challenge, recent literature focused on compressing neural network size to
improve ... | 1 | 0 | 0 | 0 | 0 | 0 |
Robust MPC for tracking of nonholonomic robots with additive disturbances | In this paper, two robust model predictive control (MPC) schemes are proposed
for tracking control of nonholonomic systems with bounded disturbances:
tube-MPC and nominal robust MPC (NRMPC). In tube-MPC, the control signal
consists of a control action and a nonlinear feedback law based on the
deviation of the actual ... | 1 | 0 | 0 | 0 | 0 | 0 |
Investigation on the use of Hidden-Markov Models in automatic transcription of music | Hidden Markov Models (HMMs) are a ubiquitous tool to model time series data,
and have been widely used in two main tasks of Automatic Music Transcription
(AMT): note segmentation, i.e. identifying the played notes after a multi-pitch
estimation, and sequential post-processing, i.e. correcting note segmentation
using ... | 1 | 0 | 0 | 1 | 0 | 0 |
Network archaeology: phase transition in the recoverability of network history | Network growth processes can be understood as generative models of the
structure and history of complex networks. This point of view naturally leads
to the problem of network archaeology: Reconstructing all the past states of a
network from its structure---a difficult permutation inference problem. In this
paper, we ... | 0 | 0 | 0 | 1 | 0 | 0 |
Big Data, Data Science, and Civil Rights | Advances in data analytics bring with them civil rights implications.
Data-driven and algorithmic decision making increasingly determine how
businesses target advertisements to consumers, how police departments monitor
individuals or groups, how banks decide who gets a loan and who does not, how
employers hire, how c... | 1 | 0 | 0 | 0 | 0 | 0 |
Global well-posedness for 2-D Boussinesq system with the temperature-dependent viscosity and supercritical dissipation | The present paper is dedicated to the global well-posedness issue for the
Boussinesq system with the temperature-dependent viscosity in $\mathbb{R}^2.$
We aim at extending the work by Abidi and Zhang ( Adv. Math. 2017 (305)
1202--1249 ) to a supercritical dissipation for temperature.
| 0 | 0 | 1 | 0 | 0 | 0 |
CO~($J = 1-0$) Observations of a Filamentary Molecular Cloud in the Galactic Region Centered at $l = 150\arcdeg, b = 3.5\arcdeg$ | We present large-field (4.25~$\times$~3.75 deg$^2$) mapping observations
toward the Galactic region centered at $l = 150\arcdeg, b = 3.5\arcdeg$ in the
$J = 1-0$ emission line of CO isotopologues ($^{12}$CO, $^{13}$CO, and
C$^{18}$O), using the 13.7 m millimeter-wavelength telescope of the Purple
Mountain Observatory... | 0 | 1 | 0 | 0 | 0 | 0 |
Leveraging Deep Neural Network Activation Entropy to cope with Unseen Data in Speech Recognition | Unseen data conditions can inflict serious performance degradation on systems
relying on supervised machine learning algorithms. Because data can often be
unseen, and because traditional machine learning algorithms are trained in a
supervised manner, unsupervised adaptation techniques must be used to adapt the
model ... | 1 | 0 | 0 | 1 | 0 | 0 |
Asymmetric Preheating | We study the generation of the matter-antimatter asymmetry during bosonic
preheating, focusing on the sources of the asymmetry. If the asymmetry appears
in the multiplication factor of the resonant particle production, the
matter-antimatter ratio will grow during preheating. On the other hand, if the
asymmetry does n... | 0 | 1 | 0 | 0 | 0 | 0 |
A multi-device dataset for urban acoustic scene classification | This paper introduces the acoustic scene classification task of DCASE 2018
Challenge and the TUT Urban Acoustic Scenes 2018 dataset provided for the task,
and evaluates the performance of a baseline system in the task. As in previous
years of the challenge, the task is defined for classification of short audio
sample... | 1 | 0 | 0 | 0 | 0 | 0 |
Asymptotically preserving particle-in-cell methods for inhomogenous strongly magnetized plasmas | We propose a class of Particle-In-Cell (PIC) methods for the Vlasov-Poisson
system with a strong and inhomogeneous external magnetic field with fixed
direction, where we focus on the motion of particles in the plane orthogonal to
the magnetic field (so-called poloidal directions). In this regime, the time
step can be... | 0 | 0 | 1 | 0 | 0 | 0 |
Cluster Failure Revisited: Impact of First Level Design and Data Quality on Cluster False Positive Rates | Methodological research rarely generates a broad interest, yet our work on
the validity of cluster inference methods for functional magnetic resonance
imaging (fMRI) created intense discussion on both the minutia of our approach
and its implications for the discipline. In the present work, we take on
various critique... | 0 | 0 | 0 | 1 | 0 | 0 |
An Integrated Simulator and Dataset that Combines Grasping and Vision for Deep Learning | Deep learning is an established framework for learning hierarchical data
representations. While compute power is in abundance, one of the main
challenges in applying this framework to robotic grasping has been obtaining
the amount of data needed to learn these representations, and structuring the
data to the task at ... | 1 | 0 | 0 | 1 | 0 | 0 |
A Recursive Bayesian Approach To Describe Retinal Vasculature Geometry | Demographic studies suggest that changes in the retinal vasculature geometry,
especially in vessel width, are associated with the incidence or progression of
eye-related or systemic diseases. To date, the main information source for
width estimation from fundus images has been the intensity profile between
vessel edg... | 1 | 0 | 0 | 0 | 0 | 0 |
Quantum Harmonic Analysis of the Density Matrix: Basics | In this Review we will study rigorously the notion of mixed states and their
density matrices. We mostly give complete proofs. We will also discuss the
quantum-mechanical consequences of possible variations of Planck's constant h.
This Review has been written having in mind two readerships: mathematical
physicists an... | 0 | 0 | 1 | 0 | 0 | 0 |
The bromodomain-containing protein Ibd1 links multiple chromatin related protein complexes to highly expressed genes in Tetrahymena thermophila | Background: The chromatin remodelers of the SWI/SNF family are critical
transcriptional regulators. Recognition of lysine acetylation through a
bromodomain (BRD) component is key to SWI/SNF function; in most eukaryotes,
this function is attributed to SNF2/Brg1.
Results: Using affinity purification coupled to mass spe... | 0 | 0 | 0 | 0 | 1 | 0 |
A Bayesian Perspective on Generalization and Stochastic Gradient Descent | We consider two questions at the heart of machine learning; how can we
predict if a minimum will generalize to the test set, and why does stochastic
gradient descent find minima that generalize well? Our work responds to Zhang
et al. (2016), who showed deep neural networks can easily memorize randomly
labeled trainin... | 1 | 0 | 0 | 1 | 0 | 0 |
Higher Derivative Field Theories: Degeneracy Conditions and Classes | We provide a full analysis of ghost free higher derivative field theories
with coupled degrees of freedom. Assuming the absence of gauge symmetries, we
derive the degeneracy conditions in order to evade the Ostrogradsky ghosts, and
analyze which (non)trivial classes of solutions this allows for. It is shown
explicitl... | 0 | 1 | 0 | 0 | 0 | 0 |
3D Morphology Prediction of Progressive Spinal Deformities from Probabilistic Modeling of Discriminant Manifolds | We introduce a novel approach for predicting the progression of adolescent
idiopathic scoliosis from 3D spine models reconstructed from biplanar X-ray
images. Recent progress in machine learning have allowed to improve
classification and prognosis rates, but lack a probabilistic framework to
measure uncertainty in th... | 1 | 0 | 0 | 1 | 0 | 0 |
The Galaxy's Veil of Excited Hydrogen | Many of the baryons in our Galaxy probably lie outside the well known disk
and bulge components. Despite a wealth of evidence for the presence of some gas
in galactic halos, including absorption line systems in the spectra of quasars,
high velocity neutral hydrogen clouds in our Galaxy halo, line emitting ionised
hyd... | 0 | 1 | 0 | 0 | 0 | 0 |
Photonic-chip supercontinuum with tailored spectra for precision frequency metrology | Supercontinuum generation using chip-integrated photonic waveguides is a
powerful approach for spectrally broadening pulsed laser sources with very low
pulse energies and compact form factors. When pumped with a mode-locked laser
frequency comb, these waveguides can coherently expand the comb spectrum to
more than an... | 0 | 1 | 0 | 0 | 0 | 0 |
Endogenizing Epistemic Actions | Through a series of examples, we illustrate some important drawbacks that the
action logic framework suffers from in its ability to represent the dynamics of
information updates. We argue that these problems stem from the fact that the
action model, a central construct designed to encode agents' uncertainty about
act... | 1 | 0 | 0 | 0 | 0 | 0 |
The Meaning of Memory Safety | We give a rigorous characterization of what it means for a programming
language to be memory safe, capturing the intuition that memory safety supports
local reasoning about state. We formalize this principle in two ways. First, we
show how a small memory-safe language validates a noninterference property: a
program c... | 1 | 0 | 0 | 0 | 0 | 0 |
The Flexible Group Spatial Keyword Query | We present a new class of service for location based social networks, called
the Flexible Group Spatial Keyword Query, which enables a group of users to
collectively find a point of interest (POI) that optimizes an aggregate cost
function combining both spatial distances and keyword similarities. In
addition, our que... | 1 | 0 | 0 | 0 | 0 | 0 |
Undersampled windowed exponentials and their applications | We characterize the completeness and frame/basis property of a union of
under-sampled windowed exponentials of the form $$ {\mathcal F}(g): =\{e^{2\pi
i n x}: n\ge 0\}\cup \{g(x)e^{2\pi i nx}: n<0\} $$ for $L^2[-1/2,1/2]$ by the
spectra of the Toeplitz operators with symbol $g$. Using this characterization,
we classi... | 0 | 0 | 1 | 0 | 0 | 0 |
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs | Deep learning models are often successfully trained using gradient descent,
despite the worst case hardness of the underlying non-convex optimization
problem. The key question is then under what conditions can one prove that
optimization will succeed. Here we provide a strong result of this kind. We
consider a neural... | 0 | 0 | 1 | 1 | 0 | 0 |
Detection of irregular QRS complexes using Hermite Transform and Support Vector Machine | Computer based recognition and detection of abnormalities in ECG signals is
proposed. For this purpose, the Support Vector Machines (SVM) are combined with
the advantages of Hermite transform representation. SVM represent a special
type of classification techniques commonly used in medical applications.
Automatic cla... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Lipschitz equivalence of self-affine sets | Let $A$ be an expanding $d\times d$ matrix with integer entries and
${\mathcal D}\subset {\mathbb Z}^d$ be a finite digit set. Then the pair $(A,
{\mathcal D})$ defines a unique integral self-affine set $K=A^{-1}(K+{\mathcal
D})$. In this paper, by replacing the Euclidean norm with a pseudo-norm $w$ in
terms of $A$, ... | 0 | 0 | 1 | 0 | 0 | 0 |
The Gross-Pitaevskii equations of a static and spherically symmetric condensate of gravitons | In this paper we consider the Dvali and Gómez assumption that the end state
of a gravitational collapse is a Bose-Einstein condensate of gravitons. We then
construct the two Gross-Pitaevskii equations for a static and spherically
symmetric configuration of the condensate. These two equations correspond to
the constra... | 0 | 1 | 0 | 0 | 0 | 0 |
Stability and instability in saddle point dynamics - Part I | We consider the problem of convergence to a saddle point of a concave-convex
function via gradient dynamics. Since first introduced by Arrow, Hurwicz and
Uzawa in [1] such dynamics have been extensively used in diverse areas, there
are, however, features that render their analysis non trivial. These include
the lack ... | 1 | 0 | 1 | 0 | 0 | 0 |
Continual Prediction of Notification Attendance with Classical and Deep Network Approaches | We investigate to what extent mobile use patterns can predict -- at the
moment it is posted -- whether a notification will be clicked within the next
10 minutes. We use a data set containing the detailed mobile phone usage logs
of 279 users, who over the course of 5 weeks received 446,268 notifications
from a variety... | 1 | 0 | 0 | 0 | 0 | 0 |
Extensions of Operators, Liftings of Monads and Distributive Laws | In a previous study, the algebraic formulation of the First Fundamental
Theorem of Calculus (FFTC) is shown to allow extensions of differential and
Rota-Baxter operators on the one hand, and to give rise to liftings of monads
and comonads, and mixed distributive laws on the other. Generalizing the FFTC,
we consider i... | 0 | 0 | 1 | 0 | 0 | 0 |
Cascaded Incremental Nonlinear Dynamic Inversion Control for MAV Disturbance Rejection | Micro Aerial Vehicles (MAVs) are limited in their operation outdoors near
obstacles by their ability to withstand wind gusts. Currently widespread
position control methods such as Proportional Integral Derivative control do
not perform well under the influence of gusts. Incremental Nonlinear Dynamic
Inversion (INDI) ... | 1 | 0 | 0 | 0 | 0 | 0 |
Numerical Evaluation of Elliptic Functions, Elliptic Integrals and Modular Forms | We describe algorithms to compute elliptic functions and their relatives
(Jacobi theta functions, modular forms, elliptic integrals, and the
arithmetic-geometric mean) numerically to arbitrary precision with rigorous
error bounds for arbitrary complex variables. Implementations in ball
arithmetic are available in the... | 1 | 0 | 0 | 0 | 0 | 0 |
In situ Electric Field Skyrmion Creation in Magnetoelectric Cu$_2$OSeO$_3$ | Magnetic skyrmions are localized nanometric spin textures with quantized
winding numbers as the topological invariant. Rapidly increasing attention has
been paid to the investigations of skyrmions since their experimental discovery
in 2009, due both to the fundamental properties and the promising potential in
spintro... | 0 | 1 | 0 | 0 | 0 | 0 |
An online sequence-to-sequence model for noisy speech recognition | Generative models have long been the dominant approach for speech
recognition. The success of these models however relies on the use of
sophisticated recipes and complicated machinery that is not easily accessible
to non-practitioners. Recent innovations in Deep Learning have given rise to an
alternative - discrimina... | 1 | 0 | 0 | 1 | 0 | 0 |
Existence of infinite Viterbi path for pairwise Markov models | For hidden Markov models one of the most popular estimates of the hidden
chain is the Viterbi path -- the path maximising the posterior probability. We
consider a more general setting, called the pairwise Markov model, where the
joint process consisting of finite-state hidden regime and observation process
is assumed... | 0 | 0 | 1 | 1 | 0 | 0 |
Coding for Segmented Edit Channels | This paper considers insertion and deletion channels with the additional
assumption that the channel input sequence is implicitly divided into segments
such that at most one edit can occur within a segment. No segment markers are
available in the received sequence. We propose code constructions for the
segmented dele... | 1 | 0 | 0 | 0 | 0 | 0 |
Charge compensation at the interface between the polar NaCl(111) surface and a NaCl aqueous solution | Periodic supercell models of electric double layers formed at the interface
between a charged surface and an electrolyte are subject to serious finite size
errors and require certain adjustments in the treatment of the long-range
electrostatic interactions. In a previous publication (C. Zhang, M. Sprik,
Phys. Rev. B ... | 0 | 1 | 0 | 0 | 0 | 0 |
CrowdTone: Crowd-powered tone feedback and improvement system for emails | In this paper, we present CrowdTone, a system designed to help people set the
appropriate tone in their email communication. CrowdTone utilizes the context
and content of an email message to identify and set the appropriate tone
through a consensus-building process executed by crowd workers. We evaluated
CrowdTone wi... | 1 | 0 | 0 | 0 | 0 | 0 |
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines | Restricted Boltzmann machines (RBMs) are energy-based neural-networks which
are commonly used as the building blocks for deep architectures neural
architectures. In this work, we derive a deterministic framework for the
training, evaluation, and use of RBMs based upon the Thouless-Anderson-Palmer
(TAP) mean-field app... | 1 | 1 | 0 | 1 | 0 | 0 |
Integrability conditions for Compound Random Measures | Compound random measures (CoRM's) are a flexible and tractable framework for
vectors of completely random measure. In this paper, we provide conditions to
guarantee the existence of a CoRM. Furthermore, we prove some interesting
properties of CoRM's when exponential scores and regularly varying Lévy
intensities are c... | 0 | 0 | 1 | 1 | 0 | 0 |
Tunable low energy Ps beam for the anti-hydrogen free fall and for testing gravity with a Mach-Zehnder interferometer | The test of gravitational force on antimatter in the field of the matter
gravitational field, produced by earth, can be done by a free fall experiment
which involves only General Relativity, and with a Mach-Zehnder interferometer
which involves Quantum Mechanics. This article presents a new method to produce
a tunabl... | 0 | 1 | 0 | 0 | 0 | 0 |
An analysis of incorporating an external language model into a sequence-to-sequence model | Attention-based sequence-to-sequence models for automatic speech recognition
jointly train an acoustic model, language model, and alignment mechanism. Thus,
the language model component is only trained on transcribed audio-text pairs.
This leads to the use of shallow fusion with an external language model at
inferenc... | 1 | 0 | 0 | 0 | 0 | 0 |
Multi-Generator Generative Adversarial Nets | We propose a new approach to train the Generative Adversarial Nets (GANs)
with a mixture of generators to overcome the mode collapsing problem. The main
intuition is to employ multiple generators, instead of using a single one as in
the original GAN. The idea is simple, yet proven to be extremely effective at
coverin... | 1 | 0 | 0 | 1 | 0 | 0 |
Neural Style Transfer: A Review | The seminal work of Gatys et al. demonstrated the power of Convolutional
Neural Networks (CNNs) in creating artistic imagery by separating and
recombining image content and style. This process of using CNNs to render a
content image in different styles is referred to as Neural Style Transfer
(NST). Since then, NST ha... | 1 | 0 | 0 | 1 | 0 | 0 |
Distribution of water in the G327.3-0.6 massive star-forming region | We aim at characterizing the large-scale distribution of H2O in G327.3-0.6, a
massive star-forming region made of individual objects in different
evolutionary phases. We investigate variations of H2O abundance as function of
evolution. We present Herschel continuum maps at 89 and 179 $\mu$m of the whole
region and an... | 0 | 1 | 0 | 0 | 0 | 0 |
Straightening rule for an $m'$-truncated polynomial ring | We consider a certain quotient of a polynomial ring categorified by both the
isomorphic Green rings of the symmetric groups and Schur algebras generated by
the signed Young permutation modules and mixed powers respectively. They have
bases parametrised by pairs of partitions whose second partitions are multiples
of t... | 0 | 0 | 1 | 0 | 0 | 0 |
Effective Blog Pages Extractor for Better UGC Accessing | Blog is becoming an increasingly popular media for information publishing.
Besides the main content, most of blog pages nowadays also contain noisy
information such as advertisements etc. Removing these unrelated elements can
improves user experience, but also can better adapt the content to various
devices such as m... | 1 | 0 | 0 | 0 | 0 | 0 |
The Principle of Similitude in Biology: From Allometry to the Formulation of Dimensionally Homogenous `Laws' | Meaningful laws of nature must be independent of the units employed to
measure the variables. The principle of similitude (Rayleigh 1915) or
dimensional homogeneity, states that only commensurable quantities (ones having
the same dimension) may be compared, therefore, meaningful laws of nature must
be homogeneous equ... | 0 | 1 | 0 | 0 | 0 | 0 |
New insight into the dynamics of rhodopsin photoisomerization from one-dimensional quantum-classical modeling | Characterization of the primary events involved in the $cis-trans$
photoisomerization of the rhodopsin retinal chromophore was approximated by a
minimum one-dimensional quantum-classical model. The developed mathematical
model is identical to that obtained using conventional quantum-classical
approaches, and multipar... | 0 | 1 | 0 | 0 | 0 | 0 |
High-order schemes for the Euler equations in cylindrical/spherical coordinates | We consider implementations of high-order finite difference Weighted
Essentially Non-Oscillatory (WENO) schemes for the Euler equations in
cylindrical and spherical coordinate systems with radial dependence only. The
main concern of this work lies in ensuring both high-order accuracy and
conservation. Three different... | 0 | 1 | 1 | 0 | 0 | 0 |
Suppressing correlations in massively parallel simulations of lattice models | For lattice Monte Carlo simulations parallelization is crucial to make
studies of large systems and long simulation time feasible, while sequential
simulations remain the gold-standard for correlation-free dynamics. Here,
various domain decomposition schemes are compared, concluding with one which
delivers virtually ... | 0 | 1 | 0 | 0 | 0 | 0 |
New bounds on the strength of some restrictions of Hindman's Theorem | We prove upper and lower bounds on the effective content and logical strength
for a variety of natural restrictions of Hindman's Finite Sums Theorem. For
example, we show that Hindman's Theorem for sums of length at most 2 and 4
colors implies $\mathsf{ACA}_0$. An emerging {\em leitmotiv} is that the known
lower boun... | 0 | 0 | 1 | 0 | 0 | 0 |
3D Face Morphable Models "In-the-Wild" | 3D Morphable Models (3DMMs) are powerful statistical models of 3D facial
shape and texture, and among the state-of-the-art methods for reconstructing
facial shape from single images. With the advent of new 3D sensors, many 3D
facial datasets have been collected containing both neutral as well as
expressive faces. How... | 1 | 0 | 0 | 0 | 0 | 0 |
Image Segmentation to Distinguish Between Overlapping Human Chromosomes | In medicine, visualizing chromosomes is important for medical diagnostics,
drug development, and biomedical research. Unfortunately, chromosomes often
overlap and it is necessary to identify and distinguish between the overlapping
chromosomes. A segmentation solution that is fast and automated will enable
scaling of ... | 1 | 0 | 0 | 1 | 0 | 0 |
Implementing Large-Scale Agile Frameworks: Challenges and Recommendations | Based on 13 agile transformation cases over 15 years, this article identifies
nine challenges associated with implementing SAFe, Scrum-at-Scale, Spotify,
LeSS, Nexus, and other mixed or customised large-scale agile frameworks. These
challenges should be considered by organizations aspiring to pursue a
large-scale agi... | 1 | 0 | 0 | 0 | 0 | 0 |
On The Limiting Distributions of the Total Height On Families of Trees | A symbolic-computational algorithm, fully implemented in Maple, is described,
that computes explicit expressions for generating functions that enable the
efficient computations of the expectation, variance, and higher moments, of the
random variable `sum of distances to the root', defined on any given family of
roote... | 0 | 0 | 1 | 0 | 0 | 0 |
HESS J1826$-$130: A Very Hard $γ$-Ray Spectrum Source in the Galactic Plane | HESS J1826$-$130 is an unidentified hard spectrum source discovered by
H.E.S.S. along the Galactic plane, the spectral index being $\Gamma$ = 1.6 with
an exponential cut-off at about 12 TeV. While the source does not have a clear
counterpart at longer wavelengths, the very hard spectrum emission at TeV
energies impli... | 0 | 1 | 0 | 0 | 0 | 0 |
Laser opacity in underdense preplasma of solid targets due to quantum electrodynamics effects | We investigate how next-generation laser pulses at 10 PW $-$ 200 PW interact
with a solid target in the presence of a relativistically underdense preplasma
produced by amplified spontaneous emission (ASE). Laser hole boring and
relativistic transparency are strongly restrained due to the generation of
electron-positr... | 0 | 1 | 0 | 0 | 0 | 0 |
Consequentialist conditional cooperation in social dilemmas with imperfect information | Social dilemmas, where mutual cooperation can lead to high payoffs but
participants face incentives to cheat, are ubiquitous in multi-agent
interaction. We wish to construct agents that cooperate with pure cooperators,
avoid exploitation by pure defectors, and incentivize cooperation from the
rest. However, often the... | 1 | 0 | 0 | 0 | 0 | 0 |
Casimir free energy of dielectric films: Classical limit, low-temperature behavior and control | The Casimir free energy of dielectric films, both free-standing in vacuum and
deposited on metallic or dielectric plates, is investigated. It is shown that
the values of the free energy depend considerably on whether the calculation
approach used neglects or takes into account the dc conductivity of film
material. We... | 0 | 1 | 0 | 0 | 0 | 0 |
Discriminant chronicles mining: Application to care pathways analytics | Pharmaco-epidemiology (PE) is the study of uses and effects of drugs in well
defined populations. As medico-administrative databases cover a large part of
the population, they have become very interesting to carry PE studies. Such
databases provide longitudinal care pathways in real condition containing
timestamped c... | 1 | 0 | 0 | 0 | 0 | 0 |
Adversarial Symmetric Variational Autoencoder | A new form of variational autoencoder (VAE) is developed, in which the joint
distribution of data and codes is considered in two (symmetric) forms: ($i$)
from observed data fed through the encoder to yield codes, and ($ii$) from
latent codes drawn from a simple prior and propagated through the decoder to
manifest dat... | 1 | 0 | 0 | 0 | 0 | 0 |
The singular locus of hypersurface sections containing a closed subscheme over finite fields | We prove that there exist hypersurfaces that contain a given closed subscheme
$Z$ of the projective space over a finite field and intersect a given smooth
scheme $X$ off of $Z$ smoothly, if the intersection $V = Z \cap X$ is smooth.
Furthermore, we can give a bound on the dimension of the singular locus of the
hypers... | 0 | 0 | 1 | 0 | 0 | 0 |
A Statistical Perspective on Inverse and Inverse Regression Problems | Inverse problems, where in broad sense the task is to learn from the noisy
response about some unknown function, usually represented as the argument of
some known functional form, has received wide attention in the general
scientific disciplines. How- ever, in mainstream statistics such inverse
problem paradigm does ... | 0 | 0 | 1 | 1 | 0 | 0 |
Model reduction for transport-dominated problems via online adaptive bases and adaptive sampling | This work presents a model reduction approach for problems with coherent
structures that propagate over time such as convection-dominated flows and
wave-type phenomena. Traditional model reduction methods have difficulties with
these transport-dominated problems because propagating coherent structures
typically intro... | 1 | 0 | 0 | 0 | 0 | 0 |
Weighted parallel SGD for distributed unbalanced-workload training system | Stochastic gradient descent (SGD) is a popular stochastic optimization method
in machine learning. Traditional parallel SGD algorithms, e.g., SimuParallel
SGD, often require all nodes to have the same performance or to consume equal
quantities of data. However, these requirements are difficult to satisfy when
the par... | 1 | 0 | 0 | 1 | 0 | 0 |
Neural Lander: Stable Drone Landing Control using Learned Dynamics | Precise trajectory control near ground is difficult for multi-rotor drones,
due to the complex ground effects caused by interactions between multi-rotor
airflow and the environment. Conventional control methods often fail to
properly account for these complex effects and fall short in accomplishing
smooth landing. In... | 1 | 0 | 0 | 0 | 0 | 0 |
Finite-Time Stabilization of Longitudinal Control for Autonomous Vehicles via a Model-Free Approach | This communication presents a longitudinal model-free control approach for
computing the wheel torque command to be applied on a vehicle. This setting
enables us to overcome the problem of unknown vehicle parameters for generating
a suitable control law. An important parameter in this control setting is made
time-var... | 1 | 0 | 1 | 0 | 0 | 0 |
Review of Geraint F. Lewis and Luke A. Barnes, A Fortunate Universe: Life in a Finely Tuned Cosmos | This new book by cosmologists Geraint F. Lewis and Luke A. Barnes is another
entry in the long list of cosmology-centered physics books intended for a large
audience. While many such books aim at advancing a novel scientific theory, A
Fortunate Universe has no such scientific pretense. Its goals are to assert
that th... | 0 | 1 | 0 | 0 | 0 | 0 |
Introducing SPAIN (SParse Audion INpainter) | A novel sparsity-based algorithm for audio inpainting is proposed by
translating the SPADE algorithm by Kitić et. al.---the state-of-the-art for
audio declipping---into the task of audio inpainting. SPAIN (SParse Audio
INpainter) comes in synthesis and analysis variants. Experiments show that both
A-SPAIN and S-SPAIN... | 1 | 0 | 0 | 0 | 0 | 0 |
Palindromic Decompositions with Gaps and Errors | Identifying palindromes in sequences has been an interesting line of research
in combinatorics on words and also in computational biology, after the
discovery of the relation of palindromes in the DNA sequence with the HIV
virus. Efficient algorithms for the factorization of sequences into palindromes
and maximal pal... | 1 | 0 | 0 | 0 | 0 | 0 |
End-of-Use Core Triage in Extreme Scenarios Based on a Threshold Approach | Remanufacturing is a significant factor in securing sustainability through a
circular economy. Sorting plays a significant role in remanufacturing
pre-processing inspections. Its significance can increase when remanufacturing
facilities encounter extreme situations, such as abnormally huge core arrivals.
Our main obj... | 0 | 0 | 0 | 1 | 0 | 0 |
A temperature-dependent implicit-solvent model of polyethylene glycol in aqueous solution | A temperature (T)-dependent coarse-grained (CG) Hamiltonian of polyethylene
glycol/oxide (PEG/PEO) in aqueous solution is reported to be used in
implicit-solvent material models in a wide temperature (i.e., solvent quality)
range. The T-dependent nonbonded CG interactions are derived from a combined
"bottom-up" and "... | 0 | 1 | 0 | 0 | 0 | 0 |
Directional Statistics and Filtering Using libDirectional | In this paper, we present libDirectional, a MATLAB library for directional
statistics and directional estimation. It supports a variety of commonly used
distributions on the unit circle, such as the von Mises, wrapped normal, and
wrapped Cauchy distributions. Furthermore, various distributions on
higher-dimensional m... | 1 | 0 | 0 | 1 | 0 | 0 |
A solution of the dark energy and its coincidence problem based on local antigravity sources without fine-tuning or new scales | A novel idea is proposed for a natural solution of the dark energy and its
cosmic coincidence problem. The existence of local antigravity sources,
associated with astrophysical matter configurations distributed throughout the
universe, can lead to a recent cosmic acceleration effect. Various physical
theories can be ... | 0 | 1 | 0 | 0 | 0 | 0 |
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples | Self-paced learning and hard example mining re-weight training instances to
improve learning accuracy. This paper presents two improved alternatives based
on lightweight estimates of sample uncertainty in stochastic gradient descent
(SGD): the variance in predicted probability of the correct class across
iterations o... | 0 | 0 | 0 | 1 | 0 | 0 |
Optical signature of Weyl electronic structures in tantalum pnictides Ta$Pn$ ($Pn=$ P, As) | To investigate the electronic structure of Weyl semimetals Ta$Pn$ ($Pn=$P,
As), optical conductivity [$\sigma(\omega)$] spectra are measured over a wide
range of photon energies and temperatures, and these measured values are
compared with band calculations. Two significant structures can be observed: a
bending struc... | 0 | 1 | 0 | 0 | 0 | 0 |
A study of cyber security in hospitality industry- threats and countermeasures: case study in Reno, Nevada | The purpose of this study is to analyze cyber security and security practices
of electronic information and network system, network threats, and techniques
to prevent the cyber attacks in hotels. Helping the information technology
directors and chief information officers (CIO) is the aim of this study to
advance poli... | 1 | 0 | 0 | 0 | 0 | 0 |
Weak Fraisse categories | We develop the theory of weak Fraisse categories, where the crucial concept
is the weak amalgamation property, discovered relatively recently in model
theory. We show that, in a suitable framework, every weak Fraisse category has
its unique limit, a special object in a bigger category, characterized by
certain varian... | 0 | 0 | 1 | 0 | 0 | 0 |
Multiple Stakeholders in Music Recommender Systems | Music recommendation services collectively spin billions of songs for
millions of listeners on a daily basis. Users can typically listen to a variety
of songs tailored to their personal tastes and preferences. Music is not the
only type of content encountered in these services, however. Advertisements are
generally i... | 1 | 0 | 0 | 0 | 0 | 0 |
Large time behavior of solution to nonlinear Dirac equation in $1+1$ dimensions | This paper studies the large time behavior of solution for a class of
nonlinear massless Dirac equations in $R^{1+1}$. It is shown that the solution
will tend to travelling wave solution when time tends to infinity.
| 0 | 0 | 1 | 0 | 0 | 0 |
Compositions of Functions and Permutations Specified by Minimal Reaction Systems | This paper studies mathematical properties of reaction systems that was
introduced by Enrenfeucht and Rozenberg as computational models inspired by
biochemical reaction in the living cells. In particular, we continue the study
on the generative power of functions specified by minimal reaction systems
under compositio... | 1 | 0 | 0 | 0 | 0 | 0 |
The center problem for the Lotka reactions with generalized mass-action kinetics | Chemical reaction networks with generalized mass-action kinetics lead to
power-law dynamical systems. As a simple example, we consider the Lotka
reactions and the resulting planar ODE. We characterize the parameters
(positive coefficients and real exponents) for which the unique positive
equilibrium is a center.
| 0 | 0 | 1 | 0 | 0 | 0 |
Recovery of Missing Samples Using Sparse Approximation via a Convex Similarity Measure | In this paper, we study the missing sample recovery problem using methods
based on sparse approximation. In this regard, we investigate the algorithms
used for solving the inverse problem associated with the restoration of missed
samples of image signal. This problem is also known as inpainting in the
context of imag... | 1 | 0 | 0 | 1 | 0 | 0 |
Skin cancer reorganization and classification with deep neural network | As one kind of skin cancer, melanoma is very dangerous. Dermoscopy based
early detection and recarbonization strategy is critical for melanoma therapy.
However, well-trained dermatologists dominant the diagnostic accuracy. In order
to solve this problem, many effort focus on developing automatic image analysis
system... | 1 | 0 | 0 | 0 | 0 | 0 |
Rescaled extrapolation for vector-valued functions | We extend Rubio de Francia's extrapolation theorem for functions valued in
UMD Banach function spaces, leading to short proofs of some new and known
results. In particular we prove Littlewood-Paley-Rubio de Francia-type
estimates and boundedness of variational Carleson operators for Banach function
spaces with UMD co... | 0 | 0 | 1 | 0 | 0 | 0 |
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