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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A Bootstrap Lasso + Partial Ridge Method to Construct Confidence Intervals for Parameters in High-dimensional Sparse Linear Models | For high-dimensional sparse linear models, how to construct confidence
intervals for coefficients remains a difficult question. The main reason is the
complicated limiting distributions of common estimators such as the Lasso.
Several confidence interval construction methods have been developed, and
Bootstrap Lasso+OL... | 0 | 0 | 0 | 1 | 0 | 0 |
The Music Streaming Sessions Dataset | At the core of many important machine learning problems faced by online
streaming services is a need to model how users interact with the content.
These problems can often be reduced to a combination of 1) sequentially
recommending items to the user, and 2) exploiting the user's interactions with
the items as feedbac... | 1 | 0 | 0 | 0 | 0 | 0 |
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification | Class imbalance classification is a challenging research problem in data
mining and machine learning, as most of the real-life datasets are often
imbalanced in nature. Existing learning algorithms maximise the classification
accuracy by correctly classifying the majority class, but misclassify the
minority class. How... | 1 | 0 | 0 | 1 | 0 | 0 |
Finding events in temporal networks: Segmentation meets densest-subgraph discovery | In this paper we study the problem of discovering a timeline of events in a
temporal network. We model events as dense subgraphs that occur within
intervals of network activity. We formulate the event-discovery task as an
optimization problem, where we search for a partition of the network timeline
into k non-overlap... | 1 | 0 | 0 | 0 | 0 | 0 |
On the area of constrained polygonal linkages | We study configuration spaces of linkages whose underlying graph are polygons
with diagonal constrains, or more general, partial two-trees. We show that
(with an appropriate definition) the oriented area is a Bott-Morse function on
the configuration space. Its critical points are described and Bott-Morse
indices are ... | 0 | 0 | 1 | 0 | 0 | 0 |
Effects of geometrical frustration on ferromagnetism in the Hubbard model on the Shastry-Sutherland lattice | The small-cluster exact-diagonalization calculations and the projector
quantum Monte Carlo method are used to examine the competing effects of
geometrical frustration and interaction on ferromagnetism in the Hubbard model
on the Shastry-Sutherland lattice. It is shown that the geometrical frustration
stabilizes the f... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning Hybrid Process Models From Events: Process Discovery Without Faking Confidence | Process discovery techniques return process models that are either formal
(precisely describing the possible behaviors) or informal (merely a "picture"
not allowing for any form of formal reasoning). Formal models are able to
classify traces (i.e., sequences of events) as fitting or non-fitting. Most
process mining a... | 1 | 0 | 0 | 0 | 0 | 0 |
El Lenguaje Natural como Lenguaje Formal | Formal languages theory is useful for the study of natural language. In
particular, it is of interest to study the adequacy of the grammatical
formalisms to express syntactic phenomena present in natural language. First,
it helps to draw hypothesis about the nature and complexity of the
speaker-hearer linguistic comp... | 1 | 0 | 0 | 0 | 0 | 0 |
Bounds for the completely positive rank of a symmetric matrix over a tropical semiring | In this paper, we find an upper bound for the CP-rank of a matrix over a
tropical semiring, according to the vertex clique cover of the graph prescribed
by the pattern of the matrix. We study the graphs that beget the patterns of
matrices with the lowest possible CP-ranks and prove that any such graph must
have its d... | 0 | 0 | 1 | 0 | 0 | 0 |
Gaussian process classification using posterior linearisation | This paper proposes a new algorithm for Gaussian process classification based
on posterior linearisation (PL). In PL, a Gaussian approximation to the
posterior density is obtained iteratively using the best possible linearisation
of the conditional mean of the labels and accounting for the linearisation
error. Consid... | 0 | 0 | 0 | 1 | 0 | 0 |
On Inconsistency Indices and Inconsistency Axioms in Pairwise Comparisons | Pairwise comparisons are an important tool of modern (multiple criteria)
decision making. Since human judgments are often inconsistent, many studies
focused on the ways how to express and measure this inconsistency, and several
inconsistency indices were proposed as an alternative to Saaty inconsistency
index and inc... | 1 | 0 | 0 | 0 | 0 | 0 |
Heteroclinic traveling fronts for a generalized Fisher-Burgers equation with saturating diffusion | We study the existence of monotone heteroclinic traveling waves for a general
Fisher-Burgers equation with nonlinear and possibly density-dependent
diffusion. Such a model arises, for instance, in physical phenomena where a
saturation effect appears for large values of the gradient. We give an estimate
for the critic... | 0 | 0 | 1 | 0 | 0 | 0 |
Computer Algebra for Microhydrodynamics | I describe a method for computer algebra that helps with laborious
calculations typically encountered in theoretical microhydrodynamics. The
program mimics how humans calculate by matching patterns and making
replacements according to the rules of algebra and calculus. This note gives an
overview and walks through an... | 1 | 1 | 0 | 0 | 0 | 0 |
Rapid micro fluorescence in situ hybridization in tissue sections | This paper describes a micro fluorescence in situ hybridization
({\mu}FISH)-based rapid detection of cytogenetic biomarkers on formalin-fixed
paraffin embedded (FFPE) tissue sections. We demonstrated this method in the
context of detecting human epidermal growth factor 2 (HER2) in breast tissue
sections. This method ... | 0 | 0 | 0 | 0 | 1 | 0 |
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding | Neural time-series data contain a wide variety of prototypical signal
waveforms (atoms) that are of significant importance in clinical and cognitive
research. One of the goals for analyzing such data is hence to extract such
'shift-invariant' atoms. Even though some success has been reported with
existing algorithms,... | 0 | 0 | 0 | 1 | 0 | 0 |
Machine Learning for Drug Overdose Surveillance | We describe two recently proposed machine learning approaches for discovering
emerging trends in fatal accidental drug overdoses. The Gaussian Process Subset
Scan enables early detection of emerging patterns in spatio-temporal data,
accounting for both the non-iid nature of the data and the fact that detecting
subtle... | 1 | 0 | 0 | 1 | 0 | 0 |
A Capsule based Approach for Polyphonic Sound Event Detection | Polyphonic sound event detection (polyphonic SED) is an interesting but
challenging task due to the concurrence of multiple sound events. Recently, SED
methods based on convolutional neural networks (CNN) and recurrent neural
networks (RNN) have shown promising performance. Generally, CNN are designed
for local featu... | 1 | 0 | 0 | 0 | 0 | 0 |
Linear simulation of ion temperature gradient driven instabilities in W7-X and LHD stellarators using GTC | The global gyrokinetic toroidal code (GTC) has been recently upgraded to do
simulations in non-axisymmetric equilibrium configuration, such as
stellarators. Linear simulation of ion temperature gradient (ITG) driven
instabilities has been done in Wendelstein7-X (W7-X) and Large Helical Device
(LHD) stellarators using... | 0 | 1 | 0 | 0 | 0 | 0 |
Advanced engineering of single-crystal gold nanoantennas | A nanofabrication process for realizing optical nanoantennas carved from a
single-crystal gold plate is presented in this communication. The method relies
on synthesizing two-dimensional micron-size gold crystals followed by the dry
etching of a desired antenna layout. The fabrication of single-crystal optical
nanoan... | 0 | 1 | 0 | 0 | 0 | 0 |
Stick-breaking processes, clumping, and Markov chain occupation laws | We consider the connections among `clumped' residual allocation models
(RAMs), a general class of stick-breaking processes including Dirichlet
processes, and the occupation laws of certain discrete space time-inhomogeneous
Markov chains related to simulated annealing and other applications. An
intermediate structure ... | 0 | 0 | 1 | 1 | 0 | 0 |
Scaling laws of Rydberg excitons | Rydberg atoms have attracted considerable interest due to their huge
interaction among each other and with external fields. They demonstrate
characteristic scaling laws in dependence on the principal quantum number $n$
for features such as the magnetic field for level crossing. While bearing
striking similarities to ... | 0 | 1 | 0 | 0 | 0 | 0 |
Variable selection in multivariate linear models with high-dimensional covariance matrix estimation | In this paper, we propose a novel variable selection approach in the
framework of multivariate linear models taking into account the dependence that
may exist between the responses. It consists in estimating beforehand the
covariance matrix of the responses and to plug this estimator in a Lasso
criterion, in order to... | 0 | 0 | 1 | 1 | 0 | 0 |
A Novel Model of Cancer-Induced Peripheral Neuropathy and the Role of TRPA1 in Pain Transduction | Background. Models of cancer-induced neuropathy are designed by injecting
cancer cells near the peripheral nerves. The interference of tissue-resident
immune cells does not allow a direct contact with nerve fibres which affects
the tumor microenvironment and the invasion process. Methods. Anaplastic
tumor-1 (AT-1) ce... | 0 | 0 | 0 | 0 | 1 | 0 |
Statistical inference using SGD | We present a novel method for frequentist statistical inference in
$M$-estimation problems, based on stochastic gradient descent (SGD) with a
fixed step size: we demonstrate that the average of such SGD sequences can be
used for statistical inference, after proper scaling. An intuitive analysis
using the Ornstein-Uhl... | 1 | 0 | 1 | 1 | 0 | 0 |
Core Discovery in Hidden Graphs | Massive network exploration is an important research direction with many
applications. In such a setting, the network is, usually, modeled as a graph
$G$, whereas any structural information of interest is extracted by inspecting
the way nodes are connected together. In the case where the adjacency matrix or
the adjac... | 1 | 0 | 0 | 0 | 0 | 0 |
Some exact Bradlow vortex solutions | We consider the Bradlow equation for vortices which was recently found by
Manton and find a two-parameter class of analytic solutions in closed form on
nontrivial geometries with non-constant curvature. The general solution to our
class of metrics is given by a hypergeometric function and the area of the
vortex domai... | 0 | 0 | 1 | 0 | 0 | 0 |
Saturating sets in projective planes and hypergraph covers | Let $\Pi_q$ be an arbitrary finite projective plane of order $q$. A subset
$S$ of its points is called saturating if any point outside $S$ is collinear
with a pair of points from $S$. Applying probabilistic tools we improve the
upper bound on the smallest possible size of the saturating set to
$\lceil\sqrt{3q\ln{q}}\... | 0 | 0 | 1 | 0 | 0 | 0 |
Accelerated Optimization in the PDE Framework: Formulations for the Active Contour Case | Following the seminal work of Nesterov, accelerated optimization methods have
been used to powerfully boost the performance of first-order, gradient-based
parameter estimation in scenarios where second-order optimization strategies
are either inapplicable or impractical. Not only does accelerated gradient
descent con... | 1 | 0 | 0 | 0 | 0 | 0 |
Limitations on Variance-Reduction and Acceleration Schemes for Finite Sum Optimization | We study the conditions under which one is able to efficiently apply
variance-reduction and acceleration schemes on finite sum optimization
problems. First, we show that, perhaps surprisingly, the finite sum structure
by itself, is not sufficient for obtaining a complexity bound of
$\tilde{\cO}((n+L/\mu)\ln(1/\epsilo... | 1 | 0 | 1 | 1 | 0 | 0 |
Stability Enhanced Large-Margin Classifier Selection | Stability is an important aspect of a classification procedure because
unstable predictions can potentially reduce users' trust in a classification
system and also harm the reproducibility of scientific conclusions. The major
goal of our work is to introduce a novel concept of classification instability,
i.e., decisi... | 0 | 0 | 0 | 1 | 0 | 0 |
Some Sphere Theorems in Linear Potential Theory | In this paper we analyze the capacitary potential due to a charged body in
order to deduce sharp analytic and geometric inequalities, whose equality cases
are saturated by domains with spherical symmetry. In particular, for a regular
bounded domain $\Omega \subset \mathbb{R}^n$, $n\geq 3$, we prove that if the
mean c... | 0 | 0 | 1 | 0 | 0 | 0 |
Non-Gaussian Component Analysis using Entropy Methods | Non-Gaussian component analysis (NGCA) is a problem in multidimensional data
analysis which, since its formulation in 2006, has attracted considerable
attention in statistics and machine learning. In this problem, we have a random
variable $X$ in $n$-dimensional Euclidean space. There is an unknown subspace
$\Gamma$ ... | 0 | 0 | 0 | 1 | 0 | 0 |
Positive Geometries and Canonical Forms | Recent years have seen a surprising connection between the physics of
scattering amplitudes and a class of mathematical objects--the positive
Grassmannian, positive loop Grassmannians, tree and loop Amplituhedra--which
have been loosely referred to as "positive geometries". The connection between
the geometry and phy... | 0 | 0 | 1 | 0 | 0 | 0 |
Computational Thinking in Education: Where does it Fit? A systematic literary review | Computational Thinking (CT) has been described as an essential skill which
everyone should learn and can therefore include in their skill set. Seymour
Papert is credited as concretising Computational Thinking in 1980 but since
Wing popularised the term in 2006 and brought it to the international
community's attention... | 1 | 1 | 0 | 0 | 0 | 0 |
Spincaloritronic signal generation in non-degenerate Si | Spincaloritronic signal generation due to thermal spin injection and spin
transport is demonstrated in a non-degenerate Si spin valve. The spin-dependent
Seebeck effect is used for the spincaloritronic signal generation, and the
thermal gradient of about 200 mK at an interface of Fe and Si enables
generating a spin v... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal fidelity multi-level Monte Carlo for quantification of uncertainty in simulations of cloud cavitation collapse | We quantify uncertainties in the location and magnitude of extreme pressure
spots revealed from large scale multi-phase flow simulations of cloud
cavitation collapse. We examine clouds containing 500 cavities and quantify
uncertainties related to their initial spatial arrangement. The resulting
2000-dimensional space... | 1 | 0 | 0 | 1 | 0 | 0 |
A New Take on Protecting Cyclists in Smart Cities | Pollution in urban centres is becoming a major societal problem. While
pollution is a concern for all urban dwellers, cyclists are one of the most
exposed groups due to their proximity to vehicle tailpipes. Consequently, new
solutions are required to help protect citizens, especially cyclists, from the
harmful effect... | 0 | 0 | 1 | 0 | 0 | 0 |
The effect upon neutrinos of core-collapse supernova accretion phase turbulence | During the accretion phase of a core-collapse supernovae, large amplitude
turbulence is generated by the combination of the standing accretion shock
instability and convection driven by neutrino heating. The turbulence directly
affects the dynamics of the explosion, but there is also the possibility of an
additional,... | 0 | 1 | 0 | 0 | 0 | 0 |
Positive-Unlabeled Learning with Non-Negative Risk Estimator | From only positive (P) and unlabeled (U) data, a binary classifier could be
trained with PU learning, in which the state of the art is unbiased PU
learning. However, if its model is very flexible, empirical risks on training
data will go negative, and we will suffer from serious overfitting. In this
paper, we propose... | 1 | 0 | 0 | 1 | 0 | 0 |
PSZ2LenS. Weak lensing analysis of the Planck clusters in the CFHTLenS and in the RCSLenS | The possibly unbiased selection process in surveys of the Sunyaev Zel'dovich
effect can unveil new populations of galaxy clusters. We performed a weak
lensing analysis of the PSZ2LenS sample, i.e. the PSZ2 galaxy clusters detected
by the Planck mission in the sky portion covered by the lensing surveys
CFHTLenS and RC... | 0 | 1 | 0 | 0 | 0 | 0 |
GP CaKe: Effective brain connectivity with causal kernels | A fundamental goal in network neuroscience is to understand how activity in
one region drives activity elsewhere, a process referred to as effective
connectivity. Here we propose to model this causal interaction using
integro-differential equations and causal kernels that allow for a rich
analysis of effective connec... | 0 | 0 | 0 | 1 | 0 | 0 |
On boundary behavior of mappings on Riemannian manifolds in terms of prime ends | A boundary behavior of ring mappings on Riemannian manifolds, which are
generalization of quasiconformal mappings by Gehring, is investigated. In terms
of prime ends, there are obtained theorems about continuous extension to a
boundary of classes mentioned above. In the terms mentioned above, there are
obtained resul... | 0 | 0 | 1 | 0 | 0 | 0 |
Privacy Preserving Face Retrieval in the Cloud for Mobile Users | Recently, cloud storage and processing have been widely adopted. Mobile users
in one family or one team may automatically backup their photos to the same
shared cloud storage space. The powerful face detector trained and provided by
a 3rd party may be used to retrieve the photo collection which contains a
specific gr... | 1 | 0 | 0 | 0 | 0 | 0 |
A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares) | This work provides a simplified proof of the statistical minimax optimality
of (iterate averaged) stochastic gradient descent (SGD), for the special case
of least squares. This result is obtained by analyzing SGD as a stochastic
process and by sharply characterizing the stationary covariance matrix of this
process. T... | 1 | 0 | 0 | 1 | 0 | 0 |
Averages of Unlabeled Networks: Geometric Characterization and Asymptotic Behavior | It is becoming increasingly common to see large collections of network data
objects -- that is, data sets in which a network is viewed as a fundamental
unit of observation. As a result, there is a pressing need to develop
network-based analogues of even many of the most basic tools already standard
for scalar and vec... | 0 | 0 | 1 | 1 | 0 | 0 |
The Abelian distribution | We define the Abelian distribution and study its basic properties. Abelian
distributions arise in the context of neural modeling and describe the size of
neural avalanches in fully-connected integrate-and-fire models of
self-organized criticality in neural systems.
| 0 | 1 | 0 | 0 | 0 | 0 |
PULSEDYN - A dynamical simulation tool for studying strongly nonlinear chains | We introduce PULSEDYN, a particle dynamics program in $C++$, to solve
many-body nonlinear systems in one dimension. PULSEDYN is designed to make
computing accessible to non-specialists in the field of nonlinear dynamics of
many-body systems and to ensure transparency and easy benchmarking of numerical
results for an ... | 0 | 1 | 0 | 0 | 0 | 0 |
Stabilization Control of the Differential Mobile Robot Using Lyapunov Function and Extended Kalman Filter | This paper presents the design of a control model to navigate the
differential mobile robot to reach the desired destination from an arbitrary
initial pose. The designed model is divided into two stages: the state
estimation and the stabilization control. In the state estimation, an extended
Kalman filter is employed... | 1 | 0 | 0 | 0 | 0 | 0 |
A Random Sample Partition Data Model for Big Data Analysis | Big data sets must be carefully partitioned into statistically similar data
subsets that can be used as representative samples for big data analysis tasks.
In this paper, we propose the random sample partition (RSP) data model to
represent a big data set as a set of non-overlapping data subsets, called RSP
data block... | 1 | 0 | 0 | 1 | 0 | 0 |
A family of transformed copulas with singular component | In this paper, we present a family of bivariate copulas by transforming a
given copula function with two increasing functions, named as transformed
copula. One distinctive characteristic of the transformed copula is its
singular component along the main diagonal. Conditions guaranteeing the
transformed function to be... | 0 | 0 | 1 | 1 | 0 | 0 |
Deep Learning for micro-Electrocorticographic (μECoG) Data | Machine learning can extract information from neural recordings, e.g.,
surface EEG, ECoG and {\mu}ECoG, and therefore plays an important role in many
research and clinical applications. Deep learning with artificial neural
networks has recently seen increasing attention as a new approach in brain
signal decoding. Her... | 0 | 0 | 0 | 0 | 1 | 0 |
Clipped Matrix Completion: A Remedy for Ceiling Effects | We consider the problem of recovering a low-rank matrix from its clipped
observations. Clipping is conceivable in many scientific areas that obstructs
statistical analyses. On the other hand, matrix completion (MC) methods can
recover a low-rank matrix from various information deficits by using the
principle of low-r... | 0 | 0 | 0 | 1 | 0 | 0 |
End-to-End Multi-Task Denoising for joint SDR and PESQ Optimization | Supervised learning based on a deep neural network recently has achieved
substantial improvement on speech enhancement. Denoising networks learn mapping
from noisy speech to clean one directly, or to a spectra mask which is the
ratio between clean and noisy spectrum. In either case, the network is
optimized by minimi... | 1 | 0 | 0 | 1 | 0 | 0 |
Scalable Importance Tempering and Bayesian Variable Selection | We propose a Monte Carlo algorithm to sample from high-dimensional
probability distributions that combines Markov chain Monte Carlo (MCMC) and
importance sampling. We provide a careful theoretical analysis, including
guarantees on robustness to high-dimensionality, explicit comparison with
standard MCMC and illustrat... | 0 | 0 | 0 | 1 | 0 | 0 |
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals | Convolutional dictionary learning (CDL) estimates shift invariant basis
adapted to multidimensional data. CDL has proven useful for image denoising or
inpainting, as well as for pattern discovery on multivariate signals. As
estimated patterns can be positioned anywhere in signals or images,
optimization techniques fa... | 1 | 0 | 0 | 1 | 0 | 0 |
Performance Analysis of Robust Stable PID Controllers Using Dominant Pole Placement for SOPTD Process Models | This paper derives new formulations for designing dominant pole placement
based proportional-integral-derivative (PID) controllers to handle second order
processes with time delays (SOPTD). Previously, similar attempts have been made
for pole placement in delay-free systems. The presence of the time delay term
manife... | 0 | 0 | 0 | 1 | 0 | 0 |
On Conjugates and Adjoint Descent | In this note we present an $\infty$-categorical framework for descent along
adjunctions and a general formula for counting conjugates up to equivalence
which unifies several known formulae from different fields.
| 0 | 0 | 1 | 0 | 0 | 0 |
Learning to Parse and Translate Improves Neural Machine Translation | There has been relatively little attention to incorporating linguistic prior
to neural machine translation. Much of the previous work was further
constrained to considering linguistic prior on the source side. In this paper,
we propose a hybrid model, called NMT+RNNG, that learns to parse and translate
by combining t... | 1 | 0 | 0 | 0 | 0 | 0 |
Boundary feedback stabilization of a flexible wing model under unsteady aerodynamic loads | This paper addresses the boundary stabilization of a flexible wing model,
both in bending and twisting displacements, under unsteady aerodynamic loads,
and in presence of a store. The wing dynamics is captured by a distributed
parameter system as a coupled Euler-Bernoulli and Timoshenko beam model. The
problem is tac... | 1 | 0 | 1 | 0 | 0 | 0 |
Out-colourings of Digraphs | We study vertex colourings of digraphs so that no out-neighbourhood is
monochromatic and call such a colouring an {\bf out-colouring}. The problem of
deciding whether a given digraph has an out-colouring with only two colours
(called a 2-out-colouring) is ${\cal
NP}$-complete. We show that for every choice of positiv... | 1 | 0 | 0 | 0 | 0 | 0 |
An Improved Video Analysis using Context based Extension of LSH | Locality Sensitive Hashing (LSH) based algorithms have already shown their
promise in finding approximate nearest neighbors in high dimen- sional data
space. However, there are certain scenarios, as in sequential data, where the
proximity of a pair of points cannot be captured without considering their
surroundings o... | 1 | 0 | 0 | 0 | 0 | 0 |
Commuting graphs on Coxeter groups, Dynkin diagrams and finite subgroups of $SL(2,\mathbb{C})$ | For a group $H$ and a non empty subset $\Gamma\subseteq H$, the commuting
graph $G=\mathcal{C}(H,\Gamma)$ is the graph with $\Gamma$ as the node set and
where any $x,y \in \Gamma$ are joined by an edge if $x$ and $y$ commute in $H$.
We prove that any simple graph can be obtained as a commuting graph of a
Coxeter grou... | 0 | 0 | 1 | 0 | 0 | 0 |
Exact energy stability of Bénard-Marangoni convection at infinite Prandtl number | Using the energy method we investigate the stability of pure conduction in
Pearson's model for Bénard-Marangoni convection in a layer of fluid at
infinite Prandtl number. Upon extending the space of admissible perturbations
to the conductive state, we find an exact solution to the energy stability
variational problem... | 0 | 1 | 0 | 0 | 0 | 0 |
A sharpening of a problem on Bernstein polynomials and convex functions | We present an elementary proof of a conjecture proposed by I. Rasa in 2017
which is an inequality involving Bernstein basis polynomials and convex
functions. It was affirmed in positive by A. Komisarski and T. Rajba very
recently by the use of stochastic convex orderings.
| 0 | 0 | 1 | 0 | 0 | 0 |
Local Estimate on Convexity Radius and decay of injectivity radius in a Riemannian manifold | In this paper we prove the following pointwise and curvature-free estimates
on convexity radius, injectivity radius and local behavior of geodesics in a
complete Riemannian manifold $M$: 1) the convexity radius of $p$,
$\operatorname{conv}(p)\ge
\min\{\frac{1}{2}\operatorname{inj}(p),\operatorname{foc}(B_{\operatorna... | 0 | 0 | 1 | 0 | 0 | 0 |
Magnetic properties of the spin-1 chain compound NiCl$_3$C$_6$H$_5$CH$_2$CH$_2$NH$_3$ | We report experimental results of the static magnetization, ESR and NMR
spectroscopic measurements of the Ni-hybrid compound
NiCl$_3$C$_6$H$_5$CH$_2$CH$_2$NH$_3$. In this material NiCl$_3$ octahedra are
structurally arranged in chains along the crystallographic $a$-axis. According
to the static susceptibility and ESR... | 0 | 1 | 0 | 0 | 0 | 0 |
Multiple core hole formation by free-electron laser radiation in molecular nitrogen | We investigate the formation of multiple-core-hole states of molecular
nitrogen interacting with a free-electron laser pulse. We obtain bound and
continuum molecular orbitals in the single-center expansion scheme and use
these orbitals to calculate photo-ionization and Auger decay rates. Using these
rates, we compute... | 0 | 1 | 0 | 0 | 0 | 0 |
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution | Few ideas have enjoyed as large an impact on deep learning as convolution.
For any problem involving pixels or spatial representations, common intuition
holds that convolutional neural networks may be appropriate. In this paper we
show a striking counterexample to this intuition via the seemingly trivial
coordinate t... | 0 | 0 | 0 | 1 | 0 | 0 |
Uniformly recurrent subgroups and the ideal structure of reduced crossed products | We study the ideal structure of reduced crossed product of topological
dynamical systems of a countable discrete group. More concretely, for a compact
Hausdorff space $X$ with an action of a countable discrete group $\Gamma$, we
consider the absence of a non-zero ideals in the reduced crossed product $C(X)
\rtimes_r ... | 0 | 0 | 1 | 0 | 0 | 0 |
TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks | Understanding and discovering knowledge from GPS (Global Positioning System)
traces of human activities is an essential topic in mobility-based urban
computing. We propose TrajectoryNet-a neural network architecture for
point-based trajectory classification to infer real world human transportation
modes from GPS trac... | 1 | 0 | 0 | 0 | 0 | 0 |
Modularity Matters: Learning Invariant Relational Reasoning Tasks | We focus on two supervised visual reasoning tasks whose labels encode a
semantic relational rule between two or more objects in an image: the MNIST
Parity task and the colorized Pentomino task. The objects in the images undergo
random translation, scaling, rotation and coloring transformations. Thus these
tasks invol... | 0 | 0 | 0 | 1 | 1 | 0 |
Proofs of some Propositions of the semi-Intuitionistic Logic with Strong Negation | We offer the proofs that complete our article introducing the propositional
calculus called semi-intuitionistic logic with strong negation.
| 0 | 0 | 1 | 0 | 0 | 0 |
Entanglement in topological systems | These lecture notes on entanglement in topological systems are part of the
48th IFF Spring School 2017 on Topological Matter: Topological Insulators,
Skyrmions and Majoranas at the Forschungszentrum Juelich, Germany. They cover a
short discussion on topologically ordered phases and review the two main tools
available... | 0 | 1 | 0 | 0 | 0 | 0 |
Equivalence between Differential Inclusions Involving Prox-regular sets and maximal monotone operators | In this paper, we study the existence and the stability in the sense of
Lyapunov of solutions for\ differential inclusions governed by the normal cone
to a prox-regular set and subject to a Lipschitzian perturbation. We prove that
such, apparently, more general nonsmooth dynamics can be indeed remodelled into
the cla... | 0 | 0 | 1 | 0 | 0 | 0 |
Effect of iron oxide loading on magnetoferritin structure in solution as revealed by SAXS and SANS | Synthetic biological macromolecule of magnetoferritin containing an iron
oxide core inside a protein shell (apoferritin) is prepared with different
content of iron. Its structure in aqueous solution is analyzed by small-angle
synchrotron X-ray (SAXS) and neutron (SANS) scattering. The loading factor (LF)
defined as t... | 0 | 1 | 0 | 0 | 0 | 0 |
Volumetric Super-Resolution of Multispectral Data | Most multispectral remote sensors (e.g. QuickBird, IKONOS, and Landsat 7
ETM+) provide low-spatial high-spectral resolution multispectral (MS) or
high-spatial low-spectral resolution panchromatic (PAN) images, separately. In
order to reconstruct a high-spatial/high-spectral resolution multispectral
image volume, eith... | 1 | 0 | 0 | 0 | 0 | 0 |
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity | Empirical scoring functions based on either molecular force fields or
cheminformatics descriptors are widely used, in conjunction with molecular
docking, during the early stages of drug discovery to predict potency and
binding affinity of a drug-like molecule to a given target. These models
require expert-level knowl... | 1 | 1 | 0 | 1 | 0 | 0 |
Random characters under the $L$-measure, I : Dirichlet characters | We define the $L$-measure on the set of Dirichlet characters as an analogue
of the Plancherel measure, once considered as a measure on the irreducible
characters of the symmetric group.
We compare the two measures and study the limit in distribution of characters
evaluations when the size of the underlying group grow... | 0 | 0 | 1 | 0 | 0 | 0 |
The Effects of Superheating Treatment on Distribution of Eutectic Silicon Particles in A357-Continuous Stainless Steel Composite | In the present study, superheating treatment has been applied on A357
reinforced with 0.5 wt. % (Composite 1) and 1.0 wt.% (Composite 2) continuous
stainless steel composite. In Composite 1 the microstructure displayed poor
bonding between matrix and reinforcement interface. Poor bonding associated
with large voids a... | 0 | 1 | 0 | 0 | 0 | 0 |
Cycle-of-Learning for Autonomous Systems from Human Interaction | We discuss different types of human-robot interaction paradigms in the
context of training end-to-end reinforcement learning algorithms. We provide a
taxonomy to categorize the types of human interaction and present our
Cycle-of-Learning framework for autonomous systems that combines different
human-interaction modal... | 1 | 0 | 0 | 0 | 0 | 0 |
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework | Background: Choosing the most performing method in terms of outcome
prediction or variables selection is a recurring problem in prognosis studies,
leading to many publications on methods comparison. But some aspects have
received little attention. First, most comparison studies treat prediction
performance and variab... | 0 | 0 | 0 | 1 | 0 | 0 |
How the notion of ACCESS guides the organization of a European research infrastructure: the example of DARIAH | This contribution will show how Access play a strong role in the creation and
structuring of DARIAH, a European Digital Research Infrastructure in Arts and
Humanities.To achieve this goal, this contribution will develop the concept of
Access from five examples: Interdisciplinarity point of view, Manage
contradiction ... | 1 | 0 | 0 | 0 | 0 | 0 |
Soliton-potential interactions for nonlinear Schrödinger equation in $\mathbb{R}^3$ | In this work we mainly consider the dynamics and scattering of a narrow
soliton of NLS equation with a potential in $\mathbb{R}^3$, where the
asymptotic state of the system can be far from the initial state in parameter
space. Specifically, if we let a narrow soliton state with initial velocity
$\upsilon_{0}$ to inte... | 0 | 0 | 1 | 0 | 0 | 0 |
Incommensurately modulated twin structure of nyerereite Na1.64K0.36Ca(CO3)2 | Incommensurately modulated twin structure of nyerereite Na1.64K0.36Ca(CO3)2
has been first determined in the (3+1)D symmetry group Cmcm({\alpha}00)00s with
modulation vector q = 0.383a*. Unit-cell values are a = 5.062(1), b = 8.790(1),
c = 12.744(1) {\AA}. Three orthorhombic components are related by threefold
rotati... | 0 | 1 | 0 | 0 | 0 | 0 |
Jensen's force and the statistical mechanics of cortical asynchronous states | The cortex exhibits self-sustained highly-irregular activity even under
resting conditions, whose origin and function need to be fully understood. It
is believed that this can be described as an "asynchronous state" stemming from
the balance between excitation and inhibition, with important consequences for
informati... | 0 | 0 | 0 | 0 | 1 | 0 |
Notes on relative normalizations of ruled surfaces in the three-dimensional Euclidean space | This paper deals with relative normalizations of skew ruled surfaces in the
Euclidean space $\mathbb{E}^{3}$. In section 2 we investigate some new formulae
concerning the Pick invariant, the relative curvature, the relative mean
curvature and the curvature of the relative metric of a relatively normalized
ruled surfa... | 0 | 0 | 1 | 0 | 0 | 0 |
Ferroelectric control of the giant Rashba spin orbit coupling in GeTe(111)/InP(111) superlattice | GeTe wins the renewed research interest due to its giant bulk Rashba spin
orbit coupling (SOC), and becomes the father of a new multifunctional material,
i.e., ferroelectric Rashba semiconductor. In the present work, we investigate
Rashba SOC at the interface of the ferroelectric semiconductor superlattice
GeTe(111)/... | 0 | 1 | 0 | 0 | 0 | 0 |
Topological phase of the interlayer exchange coupling with application to magnetic switching | We show, theoretically, that the phase of the interlayer exchange coupling
(IEC) undergoes a topological change of approximately $2\pi$ as the chemical
potential of the ferromagnetic (FM) lead moves across a hybridization gap (HG).
The effect is largely independent of the detailed parameters of the system, in
particu... | 0 | 1 | 0 | 0 | 0 | 0 |
New constraints on time-dependent variations of fundamental constants using Planck data | Observations of the CMB today allow us to answer detailed questions about the
properties of our Universe, targeting both standard and non-standard physics.
In this paper, we study the effects of varying fundamental constants (i.e., the
fine-structure constant, $\alpha_{\rm EM}$, and electron rest mass, $m_{\rm
e}$) a... | 0 | 1 | 0 | 0 | 0 | 0 |
ForestClaw: A parallel algorithm for patch-based adaptive mesh refinement on a forest of quadtrees | We describe a parallel, adaptive, multi-block algorithm for explicit
integration of time dependent partial differential equations on two-dimensional
Cartesian grids. The grid layout we consider consists of a nested hierarchy of
fixed size, non-overlapping, logically Cartesian grids stored as leaves in a
quadtree. Dyn... | 1 | 0 | 0 | 0 | 0 | 0 |
Distributed Triangle Counting in the Graphulo Matrix Math Library | Triangle counting is a key algorithm for large graph analysis. The Graphulo
library provides a framework for implementing graph algorithms on the Apache
Accumulo distributed database. In this work we adapt two algorithms for
counting triangles, one that uses the adjacency matrix and another that also
uses the inciden... | 1 | 0 | 0 | 0 | 0 | 0 |
Ensemble Classifier for Eye State Classification using EEG Signals | The growing importance and utilization of measuring brain waves (e.g. EEG
signals of eye state) in brain-computer interface (BCI) applications
highlighted the need for suitable classification methods. In this paper, a
comparison between three of well-known classification methods (i.e. support
vector machine (SVM), hi... | 1 | 0 | 0 | 0 | 0 | 0 |
Nutritionally recommended food for semi- to strict vegetarian diets based on large-scale nutrient composition data | Diet design for vegetarian health is challenging due to the limited food
repertoire of vegetarians. This challenge can be partially overcome by
quantitative, data-driven approaches that utilise massive nutritional
information collected for many different foods. Based on large-scale data of
foods' nutrient composition... | 1 | 0 | 0 | 0 | 1 | 0 |
Does data interpolation contradict statistical optimality? | We show that learning methods interpolating the training data can achieve
optimal rates for the problems of nonparametric regression and prediction with
square loss.
| 0 | 0 | 0 | 1 | 0 | 0 |
Spin-Frustrated Pyrochlore Chains in the Volcanic Mineral Kamchatkite (KCu3OCl(SO4)2) | Search of new frustrated magnetic systems is of a significant importance for
physics studying the condensed matter. The platform for geometric frustration
of magnetic systems can be provided by copper oxocentric tetrahedra (OCu4)
forming the base of crystalline structures of copper minerals from Tolbachik
volcanos in... | 0 | 1 | 0 | 0 | 0 | 0 |
Detail-revealing Deep Video Super-resolution | Previous CNN-based video super-resolution approaches need to align multiple
frames to the reference. In this paper, we show that proper frame alignment and
motion compensation is crucial for achieving high quality results. We
accordingly propose a `sub-pixel motion compensation' (SPMC) layer in a CNN
framework. Analy... | 1 | 0 | 0 | 0 | 0 | 0 |
MON: Mission-optimized Overlay Networks | Large organizations often have users in multiple sites which are connected
over the Internet. Since resources are limited, communication between these
sites needs to be carefully orchestrated for the most benefit to the
organization. We present a Mission-optimized Overlay Network (MON), a hybrid
overlay network archi... | 1 | 0 | 0 | 0 | 0 | 0 |
Generalized Results on Monoids as Memory | We show that some results from the theory of group automata and monoid
automata still hold for more general classes of monoids and models. Extending
previous work for finite automata over commutative groups, we demonstrate a
context-free language that can not be recognized by any rational monoid
automaton over a fini... | 1 | 0 | 0 | 0 | 0 | 0 |
Radio Resource Allocation for Multicarrier-Low Density Spreading Multiple Access | Multicarrier-low density spreading multiple access (MC-LDSMA) is a promising
multiple access technique that enables near optimum multiuser detection. In
MC-LDSMA, each user's symbol spread on a small set of subcarriers, and each
subcarrier is shared by multiple users. The unique structure of MC-LDSMA makes
the radio ... | 1 | 0 | 0 | 0 | 0 | 0 |
Estimating the Spectral Density of Large Implicit Matrices | Many important problems are characterized by the eigenvalues of a large
matrix. For example, the difficulty of many optimization problems, such as
those arising from the fitting of large models in statistics and machine
learning, can be investigated via the spectrum of the Hessian of the empirical
loss function. Netw... | 0 | 0 | 0 | 1 | 0 | 0 |
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