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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Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment | Network embeddings, which learn low-dimensional representations for each
vertex in a large-scale network, have received considerable attention in recent
years. For a wide range of applications, vertices in a network are typically
accompanied by rich textual information such as user profiles, paper abstracts,
etc. We ... | 1 | 0 | 0 | 0 | 0 | 0 |
Spin Precession Experiments for Light Axionic Dark Matter | Axion-like particles are promising candidates to make up the dark matter of
the universe, but it is challenging to design experiments that can detect them
over their entire allowed mass range. Dark matter in general, and in particular
axion-like particles and hidden photons, can be as light as roughly $10^{-22}
\;\rm... | 0 | 1 | 0 | 0 | 0 | 0 |
Persistence barcodes and Laplace eigenfunctions on surfaces | We obtain restrictions on the persistence barcodes of Laplace-Beltrami
eigenfunctions and their linear combinations on compact surfaces with
Riemannian metrics. Some applications to uniform approximation by linear
combinations of Laplace eigenfunctions are also discussed.
| 0 | 0 | 1 | 0 | 0 | 0 |
DFT study of ionic liquids adsorption on circumcoronene shaped graphene | Carbon materials have a range of properties such as high electrical
conductivity, high specific surface area, and mechanical flexibility are
relevant for electrochemical applications. Carbon materials are utilised in
energy conversion-and-storage devices along with electrolytes of complementary
properties. In this wo... | 0 | 1 | 0 | 0 | 0 | 0 |
On the overestimation of the largest eigenvalue of a covariance matrix | In this paper, we use a new approach to prove that the largest eigenvalue of
the sample covariance matrix of a normally distributed vector is bigger than
the true largest eigenvalue with probability 1 when the dimension is infinite.
We prove a similar result for the smallest eigenvalue.
| 0 | 0 | 1 | 1 | 0 | 0 |
Thermodynamic Mechanism of Life and Aging | Life is a complex biological phenomenon represented by numerous chemical,
physical and biological processes performed by a biothermodynamic
system/cell/organism. Both living organisms and inanimate objects are subject
to aging, a biological and physicochemical process characterized by changes in
biological and thermo... | 0 | 0 | 0 | 0 | 1 | 0 |
Flat families of point schemes for connected graded algebras | We study truncated point schemes of connected graded algebras as families
over the parameter space of varying relations for the algebras, proving that
the families are flat over the open dense locus where the point schemes achieve
the expected (i.e. minimal) dimension.
When the truncated point scheme is zero-dimensio... | 0 | 0 | 1 | 0 | 0 | 0 |
Multi-task Learning in the Computerized Diagnosis of Breast Cancer on DCE-MRIs | Hand-crafted features extracted from dynamic contrast-enhanced magnetic
resonance images (DCE-MRIs) have shown strong predictive abilities in
characterization of breast lesions. However, heterogeneity across medical image
datasets hinders the generalizability of these features. One of the sources of
the heterogeneity... | 0 | 1 | 0 | 0 | 0 | 0 |
Real-time Distracted Driver Posture Classification | In this paper, we present a new dataset for "distracted driver" posture
estimation. In addition, we propose a novel system that achieves 95.98% driving
posture estimation classification accuracy. The system consists of a
genetically-weighted ensemble of Convolutional Neural Networks (CNNs). We show
that a weighted en... | 1 | 0 | 0 | 0 | 0 | 0 |
Time Series Cube Data Model | The purpose of this document is to create a data model and its serialization
for expressing generic time series data. Already existing IVOA data models are
reused as much as possible. The model is also made as generic as possible to be
open to new extensions but at the same time closed for modifications. This
enables... | 1 | 1 | 0 | 0 | 0 | 0 |
Markov modeling of peptide folding in the presence of protein crowders | We use Markov state models (MSMs) to analyze the dynamics of a
$\beta$-hairpin-forming peptide in Monte Carlo (MC) simulations with
interacting protein crowders, for two different types of crowder proteins
[bovine pancreatic trypsin inhibitor (BPTI) and GB1]. In these systems, at the
temperature used, the peptide can... | 0 | 0 | 0 | 0 | 1 | 0 |
Ultra-fast magnetization manipulation using single femtosecond light and hot-electrons pulse | Current induced magnetization manipulation is a key issue for spintronic
application. Therefore, deterministic switching of the magnetization at the
picoseconds timescale with a single electronic pulse represents a major step
towards the future developments of ultrafast spintronic. Here, we have studied
the ultrafast... | 0 | 1 | 0 | 0 | 0 | 0 |
Grain Boundary Resistance in Copper Interconnects from an Atomistic Model to a Neural Network | Orientation effects on the resistivity of copper grain boundaries are studied
systematically with two different atomistic tight binding methods. A
methodology is developed to model the resistivity of grain boundaries using the
Embedded Atom Model, tight binding methods and non-equilibrum Green's functions
(NEGF). The... | 0 | 1 | 0 | 0 | 0 | 0 |
Some remarkable infinite product identities involving Fibonacci and Lucas numbers | By applying the classic telescoping summation formula and its variants to
identities involving inverse hyperbolic tangent functions having inverse powers
of the golden ratio as arguments and employing subtle properties of the
Fibonacci and Lucas numbers, we derive interesting general infinite product
identities invol... | 0 | 0 | 1 | 0 | 0 | 0 |
Limit Theorems in Mallows Distance for Processes with Gibssian Dependence | In this paper, we explore the connection between convergence in distribution
and Mallows distance in the context of positively associated random variables.
Our results extend some known invariance principles for sequences with FKG
property. Applications for processes with Gibbssian dependence structures are
included.... | 0 | 0 | 1 | 0 | 0 | 0 |
Localized-endemic state transition in the susceptible-infected-susceptible model on networks | It is a longstanding debate concerning the absence of threshold for the
susceptible-infected-susceptible spreading model on networks with localized
state. The key to resolve this controversy is the dynamical interaction
pattern, which has not been uncovered. Here we show that the interaction
driving the localized-end... | 0 | 1 | 0 | 0 | 0 | 0 |
Analytic approximation of solutions of parabolic partial differential equations with variable coefficients | A complete family of solutions for the one-dimensional reaction-diffusion
equation \[ u_{xx}(x,t)-q(x)u(x,t) = u_t(x,t) \] with a coefficient $q$
depending on $x$ is constructed. The solutions represent the images of the heat
polynomials under the action of a transmutation operator. Their use allows one
to obtain an ... | 0 | 0 | 1 | 0 | 0 | 0 |
Final-State Constrained Optimal Control via a Projection Operator Approach | In this paper we develop a numerical method to solve nonlinear optimal
control problems with final-state constraints. Specifically, we extend the
PRojection Operator based Netwon's method for Trajectory Optimization (PRONTO),
which was proposed by Hauser for unconstrained optimal control problems. While
in the standa... | 1 | 0 | 0 | 0 | 0 | 0 |
Robust Tracking with Model Mismatch for Fast and Safe Planning: an SOS Optimization Approach | In the pursuit of real-time motion planning, a commonly adopted practice is
to compute a trajectory by running a planning algorithm on a simplified,
low-dimensional dynamical model, and then employ a feedback tracking controller
that tracks such a trajectory by accounting for the full, high-dimensional
system dynamic... | 1 | 0 | 0 | 0 | 0 | 0 |
Robust Gaussian Stochastic Process Emulation | We consider estimation of the parameters of a Gaussian Stochastic Process
(GaSP), in the context of emulation (approximation) of computer models for
which the outcomes are real-valued scalars. The main focus is on estimation of
the GaSP parameters through various generalized maximum likelihood methods,
mostly involvi... | 0 | 0 | 1 | 1 | 0 | 0 |
Observing the Atmospheres of Known Temperate Earth-sized Planets with JWST | Nine transiting Earth-sized planets have recently been discovered around
nearby late M dwarfs, including the TRAPPIST-1 planets and two planets
discovered by the MEarth survey, GJ 1132b and LHS 1140b. These planets are the
smallest known planets that may have atmospheres amenable to detection with
JWST. We present mo... | 0 | 1 | 0 | 0 | 0 | 0 |
Front Propagation for Nonlocal KPP Reaction-Diffusion Equations in Periodic Media | We study front propagation phenomena for a large class of nonlocal KPP-type
reaction-diffusion equations in oscillatory environments, which model various
forms of population growth with periodic dependence. The nonlocal diffusion is
an anisotropic integro-differential operator of order $\alpha \in (0,2)$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Distributed Functional Observers for LTI Systems | We study the problem of designing distributed functional observers for LTI
systems. Specifically, we consider a setting consisting of a state vector that
evolves over time according to a dynamical process. A set of nodes distributed
over a communication network wish to collaboratively estimate certain functions
of th... | 0 | 0 | 1 | 0 | 0 | 0 |
Wavelet eigenvalue regression for $n$-variate operator fractional Brownian motion | In this contribution, we extend the methodology proposed in Abry and Didier
(2017) to obtain the first joint estimator of the real parts of the Hurst
eigenvalues of $n$-variate OFBM. The procedure consists of a wavelet regression
on the log-eigenvalues of the sample wavelet spectrum. The estimator is shown
to be cons... | 0 | 0 | 1 | 1 | 0 | 0 |
Deep Neural Network for Analysis of DNA Methylation Data | Many researches demonstrated that the DNA methylation, which occurs in the
context of a CpG, has strong correlation with diseases, including cancer. There
is a strong interest in analyzing the DNA methylation data to find how to
distinguish different subtypes of the tumor. However, the conventional
statistical method... | 0 | 0 | 0 | 1 | 1 | 0 |
One look at the rating of scientific publications and corresponding toy-model | A toy-model of publications and citations processes is proposed. The model
shows that the role of randomness in the processes is essential and cannot be
ignored. Some other aspects of scientific publications rating are discussed.
| 1 | 0 | 0 | 1 | 0 | 0 |
Alignment, Orientation, and Coulomb Explosion of Difluoroiodobenzene Studied with the Pixel Imaging Mass Spectrometry (PImMS) Camera | Laser-induced adiabatic alignment and mixed-field orientation of
2,6-difluoroiodobenzene (C6H3F2I) molecules are probed by Coulomb explosion
imaging following either near-infrared strong-field ionization or
extreme-ultraviolet multi-photon inner-shell ionization using free-electron
laser pulses. The resulting photoel... | 0 | 1 | 0 | 0 | 0 | 0 |
Unsupervised Machine Learning of Open Source Russian Twitter Data Reveals Global Scope and Operational Characteristics | We developed and used a collection of statistical methods (unsupervised
machine learning) to extract relevant information from a Twitter supplied data
set consisting of alleged Russian trolls who (allegedly) attempted to influence
the 2016 US Presidential election. These unsupervised statistical methods allow
fast id... | 1 | 0 | 0 | 0 | 0 | 0 |
Distributed, scalable and gossip-free consensus optimization with application to data analysis | Distributed algorithms for solving additive or consensus optimization
problems commonly rely on first-order or proximal splitting methods. These
algorithms generally come with restrictive assumptions and at best enjoy a
linear convergence rate. Hence, they can require many iterations or
communications among agents to... | 0 | 0 | 1 | 0 | 0 | 0 |
Consistency of Maximum Likelihood for Continuous-Space Network Models | Network analysis needs tools to infer distributions over graphs of arbitrary
size from a single graph. Assuming the distribution is generated by a
continuous latent space model which obeys certain natural symmetry and
smoothness properties, we establish three levels of consistency for
non-parametric maximum likelihoo... | 0 | 0 | 1 | 1 | 0 | 0 |
Consistency Results for Stationary Autoregressive Processes with Constrained Coefficients | We consider stationary autoregressive processes with coefficients restricted
to an ellipsoid, which includes autoregressive processes with absolutely
summable coefficients. We provide consistency results under different norms for
the estimation of such processes using constrained and penalized estimators. As
an appli... | 0 | 0 | 0 | 1 | 0 | 0 |
Higher order mobile coverage control with application to localization | Most current results on coverage control using mobile sensors require that
one partitioned cell is associated with precisely one sensor. In this paper, we
consider a class of coverage control problems involving higher order Voronoi
partitions, motivated by applications where more than one sensor is required to
monito... | 1 | 0 | 0 | 0 | 0 | 0 |
Borg's Periodicity Theorems for first order self-adjoint systems with complex potentials | A self-adjoint first order system with Hermitian $\pi$-periodic potential
$Q(z)$, integrable on compact sets, is considered. It is shown that all zeros
of $\Delta + 2e^{-i\int_0^\pi \Im q dt}$ are double zeros if and only if this
self-adjoint system is unitarily equivalent to one in which $Q(z)$ is
$\frac{\pi}{2}$-pe... | 0 | 0 | 1 | 0 | 0 | 0 |
On the Ubiquity of Information Inconsistency for Conjugate Priors | Informally, "Information Inconsistency" is the property that has been
observed in many Bayesian hypothesis testing and model selection procedures
whereby the Bayesian conclusion does not become definitive when the data seems
to become definitive. An example is that, when performing a t-test using
standard conjugate p... | 0 | 0 | 1 | 1 | 0 | 0 |
Competition evolution of Rayleigh-Taylor bubbles | Material mixing induced by a Rayleigh-Taylor instability occurs ubiquitously
in either nature or engineering when a light fluid pushes against a heavy
fluid, accompanying with the formation and evolution of chaotic bubbles. Its
general evolution involves two mechanisms: bubble-merge and bubble-competition.
The former... | 0 | 1 | 0 | 0 | 0 | 0 |
Nonlinear oblique projections | We construct nonlinear oblique projections along subalgebras of nilpotent Lie
algebras in terms of the Baker-Campbell-Hausdorff multiplication. We prove that
these nonlinear projections are real analytic on every Schubert cell of the
Grassmann manifold whose points are the subalgebras of the nilpotent Lie
algebra und... | 0 | 0 | 1 | 0 | 0 | 0 |
Granger Mediation Analysis of Multiple Time Series with an Application to fMRI | It becomes increasingly popular to perform mediation analysis for complex
data from sophisticated experimental studies. In this paper, we present Granger
Mediation Analysis (GMA), a new framework for causal mediation analysis of
multiple time series. This framework is motivated by a functional magnetic
resonance imag... | 0 | 0 | 0 | 1 | 0 | 0 |
Parameterization of Sequence of MFCCs for DNN-based voice disorder detection | In this article a DNN-based system for detection of three common voice
disorders (vocal nodules, polyps and cysts; laryngeal neoplasm; unilateral
vocal paralysis) is presented. The input to the algorithm is (at least 3-second
long) audio recording of sustained vowel sound /a:/. The algorithm was
developed as part of ... | 1 | 0 | 0 | 0 | 0 | 0 |
Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems | A key challenge in multi-robot and multi-agent systems is generating
solutions that are robust to other self-interested or even adversarial parties
who actively try to prevent the agents from achieving their goals. The
practicality of existing works addressing this challenge is limited to only
small-scale synchronous... | 1 | 0 | 0 | 0 | 0 | 0 |
Structural Connectome Validation Using Pairwise Classification | In this work, we study the extent to which structural connectomes and
topological derivative measures are unique to individual changes within human
brains. To do so, we classify structural connectome pairs from two large
longitudinal datasets as either belonging to the same individual or not. Our
data is comprised of... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Robust Kalman Filter | A Robust Markov Decision Process (RMDP) is a sequential decision making model
that accounts for uncertainty in the parameters of dynamic systems. This
uncertainty introduces difficulties in learning an optimal policy, especially
for environments with large state spaces. We propose two algorithms, RTD-DQN
and Deep-RoK... | 1 | 0 | 0 | 1 | 0 | 0 |
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach | The Fisher information matrix (FIM) is a fundamental quantity to represent
the characteristics of a stochastic model, including deep neural networks
(DNNs). The present study reveals novel statistics of FIM that are universal
among a wide class of DNNs. To this end, we use random weights and large width
limits, which... | 0 | 0 | 0 | 1 | 0 | 0 |
An extension problem and trace Hardy inequality for the sublaplacian on $H$-type groups | In this paper we study the extension problem for the sublaplacian on a
$H$-type group and use the solutions to prove trace Hardy and Hardy
inequalities for fractional powers of the sublaplacian.
| 0 | 0 | 1 | 0 | 0 | 0 |
Centered Isotonic Regression: Point and Interval Estimation for Dose-Response Studies | Univariate isotonic regression (IR) has been used for nonparametric
estimation in dose-response and dose-finding studies. One undesirable property
of IR is the prevalence of piecewise-constant stretches in its estimates,
whereas the dose-response function is usually assumed to be strictly
increasing. We propose a sim... | 0 | 0 | 0 | 1 | 0 | 0 |
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection | Measuring domain relevance of data and identifying or selecting well-fit
domain data for machine translation (MT) is a well-studied topic, but denoising
is not yet. Denoising is concerned with a different type of data quality and
tries to reduce the negative impact of data noise on MT training, in
particular, neural ... | 0 | 0 | 0 | 1 | 0 | 0 |
Discovering Signals from Web Sources to Predict Cyber Attacks | Cyber attacks are growing in frequency and severity. Over the past year alone
we have witnessed massive data breaches that stole personal information of
millions of people and wide-scale ransomware attacks that paralyzed critical
infrastructure of several countries. Combating the rising cyber threat calls
for a multi... | 1 | 0 | 0 | 1 | 0 | 0 |
Higher-degree Smoothness of Perturbations I | In this paper and its sequels, we give an unified treatment of the
higher-degree smoothness of admissible perturbations and related results used
in the global perturbation method for GW and Floer theories.
| 0 | 0 | 1 | 0 | 0 | 0 |
Space Telescope and Optical Reverberation Mapping Project. V. Optical Spectroscopic Campaign and Emission-Line Analysis for NGC 5548 | We present the results of an optical spectroscopic monitoring program
targeting NGC 5548 as part of a larger multi-wavelength reverberation mapping
campaign. The campaign spanned six months and achieved an almost daily cadence
with observations from five ground-based telescopes. The H$\beta$ and He II
$\lambda$4686 b... | 0 | 1 | 0 | 0 | 0 | 0 |
An Inexact Regularized Newton Framework with a Worst-Case Iteration Complexity of $\mathcal{O}(ε^{-3/2})$ for Nonconvex Optimization | An algorithm for solving smooth nonconvex optimization problems is proposed
that, in the worst-case, takes $\mathcal{O}(\epsilon^{-3/2})$ iterations to
drive the norm of the gradient of the objective function below a prescribed
positive real number $\epsilon$ and can take $\mathcal{O}(\epsilon^{-3})$
iterations to dr... | 0 | 0 | 1 | 0 | 0 | 0 |
An inverse problem for Maxwell's equations with Lipschitz parameters | We consider an inverse boundary value problem for Maxwell's equations, which
aims to recover the electromagnetic material properties of a body from
measurements on the boundary. We show that a Lipschitz continuous conductivity,
electric permittivity, and magnetic permeability are uniquely determined by
knowledge of a... | 0 | 0 | 1 | 0 | 0 | 0 |
Context Aware Robot Navigation using Interactively Built Semantic Maps | We discuss the process of building semantic maps, how to interactively label
entities in them, and how to use them to enable context-aware navigation
behaviors in human environments. We utilize planar surfaces, such as walls and
tables, and static objects, such as door signs, as features for our semantic
mapping appr... | 1 | 0 | 0 | 0 | 0 | 0 |
Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data | Multimodal sensory data resembles the form of information perceived by humans
for learning, and are easy to obtain in large quantities. Compared to unimodal
data, synchronization of concepts between modalities in such data provides
supervision for disentangling the underlying explanatory factors of each
modality. Pre... | 0 | 0 | 0 | 1 | 0 | 0 |
Blind Gain and Phase Calibration via Sparse Spectral Methods | Blind gain and phase calibration (BGPC) is a bilinear inverse problem
involving the determination of unknown gains and phases of the sensing system,
and the unknown signal, jointly. BGPC arises in numerous applications, e.g.,
blind albedo estimation in inverse rendering, synthetic aperture radar
autofocus, and sensor... | 1 | 0 | 0 | 0 | 0 | 0 |
Reconciling cooperation, biodiversity and stability in complex ecological communities | Empirical observations show that ecological communities can have a huge
number of coexisting species, also with few or limited number of resources.
These ecosystems are characterized by multiple type of interactions, in
particular displaying cooperative behaviors. However, standard modeling of
population dynamics bas... | 0 | 0 | 0 | 0 | 1 | 0 |
The Young L Dwarf 2MASS J11193254-1137466 is a Planetary-Mass Binary | We have discovered that the extremely red, low-gravity L7 dwarf 2MASS
J11193254-1137466 is a 0.14" (3.6 AU) binary using Keck laser guide star
adaptive optics imaging. 2MASS J11193254-1137466 has previously been identified
as a likely member of the TW Hydrae Association (TWA). Using our updated
photometric distance a... | 0 | 1 | 0 | 0 | 0 | 0 |
Diversity of Abundance Patterns of Light Neutron-capture Elements in Very-metal-poor Stars | We determine the abundances of neutron-capture elements from Sr to Eu for
five very-metal-poor stars (-3<[Fe/H]<-2) in the Milky Way halo to reveal the
origin of light neutron-capture elements. Previous spectroscopic studies have
shown evidence of at least two components in the r-process; one referred to as
the "main... | 0 | 1 | 0 | 0 | 0 | 0 |
Hypergames and Cyber-Physical Security for Control Systems | The identification of the Stuxnet worm in 2010 provided a highly publicized
example of a cyber attack used to damage an industrial control system
physically. This raised public awareness about the possibility of similar
attacks against other industrial targets -- including critical infrastructure.
In this paper, we u... | 1 | 0 | 0 | 0 | 0 | 0 |
Measuring the academic reputation through citation networks via PageRank | The objective assessment of the prestige of an academic institution is a
difficult and hotly debated task. In the last few years, different types of
University Rankings have been proposed to quantify the excellence of different
research institutions in the world. Albeit met with criticism in some cases,
the relevance... | 1 | 0 | 0 | 0 | 0 | 0 |
A Model Order Reduction Algorithm for Estimating the Absorption Spectrum | The ab initio description of the spectral interior of the absorption spectrum
poses both a theoretical and computational challenge for modern electronic
structure theory. Due to the often spectrally dense character of this domain in
the quantum propagator's eigenspectrum for medium-to-large sized systems,
traditional... | 1 | 1 | 0 | 0 | 0 | 0 |
Uniform rank gradient, cost and local-global convergence | We analyze the rank gradient of finitely generated groups with respect to
sequences of subgroups of finite index that do not necessarily form a chain, by
connecting it to the cost of p.m.p. actions. We generalize several results that
were only known for chains before. The connection is made by the notion of
local-glo... | 0 | 0 | 1 | 0 | 0 | 0 |
Optimal design of a model energy conversion device | Fuel cells, batteries, thermochemical and other energy conversion devices
involve the transport of a number of (electro-)chemical species through
distinct materials so that they can meet and react at specified multi-material
interfaces. Therefore, morphology or arrangement of these different materials
can be critical... | 0 | 1 | 1 | 0 | 0 | 0 |
Mining Communication Data in a Music Community: A Preliminary Analysis | Comments play an important role within online creative communities because
they make it possible to foster the production and improvement of authors'
artifacts. We investigate how comment-based communication help shape members'
behavior within online creative communities. In this paper, we report the
results of a pre... | 1 | 0 | 0 | 0 | 0 | 0 |
Multidimensional VlasovPoisson Simulations with High-order Monotonicity- and Positivity-preserving Schemes | We develop new numerical schemes for Vlasov--Poisson equations with
high-order accuracy. Our methods are based on a spatially
monotonicity-preserving (MP) scheme and are modified suitably so that
positivity of the distribution function is also preserved. We adopt an
efficient semi-Lagrangian time integration scheme t... | 0 | 1 | 0 | 0 | 0 | 0 |
Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy | Markov Chain Monte Carlo based Bayesian data analysis has now become the
method of choice for analyzing and interpreting data in almost all disciplines
of science. In astronomy, over the last decade, we have also seen a steady
increase in the number of papers that employ Monte Carlo based Bayesian
analysis. New, effi... | 0 | 1 | 0 | 1 | 0 | 0 |
Stable splitting of mapping spaces via nonabelian Poincaré duality | We use nonabelian Poincaré duality to recover the stable splitting of
compactly supported mapping spaces, $\rm{Map_c}$$(M,\Sigma^nX)$, where $M$ is a
parallelizable $n$-manifold. Our method for deriving this splitting is new, and
naturally extends to give a more general stable splitting of the space of
compactly supp... | 0 | 0 | 1 | 0 | 0 | 0 |
Static Gesture Recognition using Leap Motion | In this report, an automated bartender system was developed for making orders
in a bar using hand gestures. The gesture recognition of the system was
developed using Machine Learning techniques, where the model was trained to
classify gestures using collected data. The final model used in the system
reached an averag... | 1 | 0 | 0 | 1 | 0 | 0 |
B-spline-like bases for $C^2$ cubics on the Powell-Sabin 12-split | For spaces of constant, linear, and quadratic splines of maximal smoothness
on the Powell-Sabin 12-split of a triangle, the so-called S-bases were recently
introduced. These are simplex spline bases with B-spline-like properties on the
12-split of a single triangle, which are tied together across triangles in a
Bézie... | 1 | 0 | 0 | 0 | 0 | 0 |
Synthesizing Correlations with Computational Likelihood Approach: Vitamin C Data | It is known that the primary source of dietary vitamin C is fruit and
vegetables and the plasma level of vitamin C has been considered a good
surrogate biomarker of vitamin C intake by fruit and vegetable consumption. To
combine the information about association between vitamin C intake and the
plasma level of vitami... | 0 | 0 | 0 | 1 | 0 | 0 |
Axion detection via Topological Casimir Effect | We propose a new table-top experimental configuration for the direct
detection of dark matter axions with mass in the $(10^{-6} \rm eV - 10^{-2} \rm
eV)$ range using non-perturbative effects in a system with non-trivial spatial
topology. Different from most experimental setups found in literature on direct
dark matte... | 0 | 1 | 0 | 0 | 0 | 0 |
Novel Feature-Based Clustering of Micro-Panel Data (CluMP) | Micro-panel data are collected and analysed in many research and industry
areas. Cluster analysis of micro-panel data is an unsupervised learning
exploratory method identifying subgroup clusters in a data set which include
homogeneous objects in terms of the development dynamics of monitored
variables. The supply of ... | 0 | 0 | 0 | 1 | 0 | 0 |
Ab initio effective Hamiltonians for cuprate superconductors | Ab initio low-energy effective Hamiltonians of two typical high-temperature
copper-oxide superconductors, whose mother compounds are La$_2$CuO$_4$ and
HgBa$_2$CuO$_4$, are derived by utilizing the multi-scale ab initio scheme for
correlated electrons (MACE). The effective Hamiltonians obtained in the present
study se... | 0 | 1 | 0 | 0 | 0 | 0 |
Longitudinal data analysis using matrix completion | In clinical practice and biomedical research, measurements are often
collected sparsely and irregularly in time while the data acquisition is
expensive and inconvenient. Examples include measurements of spine bone mineral
density, cancer growth through mammography or biopsy, a progression of defect
of vision, or asse... | 0 | 0 | 0 | 1 | 0 | 0 |
Emission-line Diagnostics of Nearby HII Regions Including Supernova Hosts | We present a new model of the optical nebular emission from HII regions by
combin- ing the results of the Binary Population and Spectral Synthesis (bpass)
code with the photoion- ization code cloudy (Ferland et al. 1998). We explore a
variety of emission-line diagnostics of these star-forming HII regions and
examine ... | 0 | 1 | 0 | 0 | 0 | 0 |
On monomial linearisation and supercharacters of pattern subgroups | Column closed pattern subgroups $U$ of the finite upper unitriangular groups
$U_n(q)$ are defined as sets of matrices in $U_n(q)$ having zeros in a
prescribed set of columns besides the diagonal ones. We explain Jedlitschky's
construction of monomial linearisation and apply this to $C U$ yielding a
generalisation of ... | 0 | 0 | 1 | 0 | 0 | 0 |
The Structural Fate of Individual Multicomponent Metal-Oxide Nanoparticles in Polymer Nanoreactors | Multicomponent nanoparticles can be synthesized with either homogeneous or
phase-segregated architectures depending on the synthesis conditions and
elements incorporated. To understand the parameters that determine their
structural fate, multicomponent metal-oxide nanoparticles consisting of
combinations of Co, Ni, a... | 0 | 1 | 0 | 0 | 0 | 0 |
On Compression of Unsupervised Neural Nets by Pruning Weak Connections | Unsupervised neural nets such as Restricted Boltzmann Machines(RBMs) and Deep
Belif Networks(DBNs), are powerful in automatic feature extraction,unsupervised
weight initialization and density estimation. In this paper,we demonstrate that
the parameters of these neural nets can be dramatically reduced without
affectin... | 1 | 0 | 0 | 0 | 0 | 0 |
A matrix generalization of a theorem of Fine | In 1947 Nathan Fine gave a beautiful product for the number of binomial
coefficients $\binom{n}{m}$, for $m$ in the range $0 \leq m \leq n$, that are
not divisible by $p$. We give a matrix product that generalizes Fine's formula,
simultaneously counting binomial coefficients with $p$-adic valuation $\alpha$
for each ... | 1 | 0 | 1 | 0 | 0 | 0 |
Training Multi-Task Adversarial Network For Extracting Noise-Robust Speaker Embedding | Under noisy environments, to achieve the robust performance of speaker
recognition is still a challenging task. Motivated by the promising performance
of multi-task training in a variety of image processing tasks, we explore the
potential of multi-task adversarial training for learning a noise-robust
speaker embeddin... | 1 | 0 | 0 | 0 | 0 | 0 |
Playing Games with Bounded Entropy | In this paper, we consider zero-sum repeated games in which the maximizer is
restricted to strategies requiring no more than a limited amount of randomness.
Particularly, we analyze the maxmin payoff of the maximizer in two models: the
first model forces the maximizer to randomize her action in each stage just by
con... | 1 | 0 | 0 | 0 | 0 | 0 |
Exact Hausdorff and packing measures for random self-similar code-trees with necks | Random code-trees with necks were introduced recently to generalise the
notion of $V$-variable and random homogeneous sets. While it is known that the
Hausdorff and packing dimensions coincide irrespective of overlaps, their exact
Hausdorff and packing measure has so far been largely ignored. In this article
we consi... | 0 | 0 | 1 | 0 | 0 | 0 |
On Modules over a G-set | Let R be a commutative ring with unity, M a module over R and let S be a
G-set for a finite group G. We define a set MS to be the set of elements
expressed as the formal finite sum of the form similar to the elements of group
ring RG. The set MS is a module over the group ring RG under the addition and
the scalar mul... | 0 | 0 | 1 | 0 | 0 | 0 |
Polynomial-time algorithms for the Longest Induced Path and Induced Disjoint Paths problems on graphs of bounded mim-width | We give the first polynomial-time algorithms on graphs of bounded maximum
induced matching width (mim-width) for problems that are not locally checkable.
In particular, we give $n^{\mathcal{O}(w)}$-time algorithms on graphs of
mim-width at most $w$, when given a decomposition, for the following problems:
Longest Indu... | 1 | 0 | 0 | 0 | 0 | 0 |
Bug or Not? Bug Report Classification Using N-Gram IDF | Previous studies have found that a significant number of bug reports are
misclassified between bugs and non-bugs, and that manually classifying bug
reports is a time-consuming task. To address this problem, we propose a bug
reports classification model with N-gram IDF, a theoretical extension of
Inverse Document Freq... | 1 | 0 | 0 | 0 | 0 | 0 |
Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection | Cell nuclei detection is a challenging research topic because of limitations
in cellular image quality and diversity of nuclear morphology, i.e. varying
nuclei shapes, sizes, and overlaps between multiple cell nuclei. This has been
a topic of enduring interest with promising recent success shown by deep
learning meth... | 1 | 0 | 0 | 1 | 0 | 0 |
Anisotropic hydrodynamic turbulence in accretion disks | Recently, the vertical shear instability (VSI) has become an attractive
purely hydrodynamic candidate for the anomalous angular momentum transport
required for weakly ionized accretion disks. In direct three-dimensional
numerical simulations of VSI turbulence in disks, a meridional circulation
pattern was observed th... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal Algorithms for Distributed Optimization | In this paper, we study the optimal convergence rate for distributed convex
optimization problems in networks. We model the communication restrictions
imposed by the network as a set of affine constraints and provide optimal
complexity bounds for four different setups, namely: the function $F(\xb)
\triangleq \sum_{i=... | 1 | 0 | 0 | 1 | 0 | 0 |
Evaluation of Classical Features and Classifiers in Brain-Computer Interface Tasks | Brain-Computer Interface (BCI) uses brain signals in order to provide a new
method for communication between human and outside world. Feature extraction,
selection and classification are among the main matters of concerns in signal
processing stage of BCI. In this article, we present our findings about the
most effec... | 1 | 0 | 0 | 1 | 0 | 0 |
On exceptional compact homogeneous geometries of type C3 | We provide a uniform framework to study the exceptional homogeneous compact
geometries of type C3. This framework is then used to show that these are
simply connected, answering a question by Kramer and Lytchak, and to calculate
the full automorphism groups.
| 0 | 0 | 1 | 0 | 0 | 0 |
Intensity estimation of transaction arrivals on the intraday electricity market | In the following paper we present a simple intensity estimation method of
transaction arrivals on the intraday electricity market. Assuming the
interarrival times distribution, we utilize a maximum likelihood estimation.
The method's performance is briefly tested using German Intraday Continuous
data. Despite the sim... | 0 | 0 | 0 | 1 | 0 | 1 |
Capacitive Mechanism of Oxygen Functional Groups on Carbon Surface in Supercapacitors | Oxygen functional groups are one of the most important subjects in the study
of electrochemical properties of carbon materials which can change the
wettability, conductivity and pore size distributions of carbon materials, and
can occur redox reactions. In the electrode materials of carbon-based
supercapacitors, the ... | 0 | 1 | 0 | 0 | 0 | 0 |
On conditional least squares estimation for affine diffusions based on continuous time observations | We study asymptotic properties of conditional least squares estimators for
the drift parameters of two-factor affine diffusions based on continuous time
observations. We distinguish three cases: subcritical, critical and
supercritical. For all the drift parameters, in the subcritical and
supercritical cases, asymptot... | 0 | 0 | 1 | 1 | 0 | 0 |
Discretization error estimates for penalty formulations of a linearized Canham-Helfrich type energy | This paper is concerned with minimization of a fourth-order linearized
Canham-Helfrich energy subject to Dirichlet boundary conditions on curves
inside the domain. Such problems arise in the modeling of the mechanical
interaction of biomembranes with embedded particles. There, the curve
conditions result from the imp... | 0 | 0 | 1 | 0 | 0 | 0 |
On the Humphreys conjecture on support varieties of tilting modules | Let $G$ be a simply-connected semisimple algebraic group over an
algebraically closed field of characteristic $p$, assumed to be larger than the
Coxeter number. The "support variety" of a $G$-module $M$ is a certain closed
subvariety of the nilpotent cone of $G$, defined in terms of cohomology for the
first Frobenius... | 0 | 0 | 1 | 0 | 0 | 0 |
Using Randomness to Improve Robustness of Machine-Learning Models Against Evasion Attacks | Machine learning models have been widely used in security applications such
as intrusion detection, spam filtering, and virus or malware detection.
However, it is well-known that adversaries are always trying to adapt their
attacks to evade detection. For example, an email spammer may guess what
features spam detecti... | 0 | 0 | 0 | 1 | 0 | 0 |
Further extension of the generalized Hurwitz-Lerch Zeta function of two variables | The main aim of this paper is to give a new generalization of Hurwitz-Lerch
Zeta function of two variables.Also, we investigate several interesting
properties such as integral representations, summation formula and a connection
with generalized hypergeometric function. To strengthen the main results we
also consider ... | 0 | 0 | 1 | 0 | 0 | 0 |
A Physarum-inspired model for the probit-based stochastic user equilibrium problem | Stochastic user equilibrium is an important issue in the traffic assignment
problems, tradition models for the stochastic user equilibrium problem are
designed as mathematical programming problems. In this article, a
Physarum-inspired model for the probit-based stochastic user equilibrium
problem is proposed. There a... | 1 | 0 | 0 | 0 | 0 | 0 |
Going Higher in First-Order Quantifier Alternation Hierarchies on Words | We investigate quantifier alternation hierarchies in first-order logic on
finite words. Levels in these hierarchies are defined by counting the number of
quantifier alternations in formulas. We prove that one can decide membership of
a regular language in the levels $\mathcal{B}{\Sigma}_2$ (finite boolean
combination... | 1 | 0 | 0 | 0 | 0 | 0 |
Invariance of Ideal Limit Points | Let $\mathcal{I}$ be an analytic P-ideal [respectively, a summable ideal] on
the positive integers and let $(x_n)$ be a sequence taking values in a metric
space $X$. First, it is shown that the set of ideal limit points of $(x_n)$ is
an $F_\sigma$-set [resp., a closet set]. Let us assume that $X$ is also
separable an... | 0 | 0 | 1 | 0 | 0 | 0 |
Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching | The unprecedented demand for large amount of data has catalyzed the trend of
combining human insights with machine learning techniques, which facilitate the
use of crowdsourcing to enlist label information both effectively and
efficiently. The classic work on crowdsourcing mainly focuses on the label
inference proble... | 0 | 0 | 0 | 1 | 0 | 0 |
Learning With Errors and Extrapolated Dihedral Cosets | The hardness of the learning with errors (LWE) problem is one of the most
fruitful resources of modern cryptography. In particular, it is one of the most
prominent candidates for secure post-quantum cryptography. Understanding its
quantum complexity is therefore an important goal. We show that under quantum
polynomia... | 1 | 0 | 0 | 0 | 0 | 0 |
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