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 |
|---|---|---|---|---|---|---|---|
Accurate Real Time Localization Tracking in A Clinical Environment using Bluetooth Low Energy and Deep Learning | Deep learning has started to revolutionize several different industries, and
the applications of these methods in medicine are now becoming more
commonplace. This study focuses on investigating the feasibility of tracking
patients and clinical staff wearing Bluetooth Low Energy (BLE) tags in a
radiation oncology clin... | 1 | 1 | 0 | 0 | 0 | 0 |
Metropolis Sampling | Monte Carlo (MC) sampling methods are widely applied in Bayesian inference,
system simulation and optimization problems. The Markov Chain Monte Carlo
(MCMC) algorithms are a well-known class of MC methods which generate a Markov
chain with the desired invariant distribution. In this document, we focus on
the Metropol... | 0 | 0 | 0 | 1 | 0 | 0 |
Approximate Structure Construction Using Large Statistical Swarms | In this paper we describe a novel local algorithm for large statistical
swarms using "harmonic attractor dynamics", by means of which a swarm can
construct harmonics of the environment. This in turn allows the swarm to
approximately reconstruct desired structures in the environment. The robots
navigate in a discrete ... | 1 | 0 | 0 | 1 | 0 | 0 |
Search for Food of Birds, Fish and Insects | This book chapter introduces to the problem to which extent search strategies
of foraging biological organisms can be identified by statistical data analysis
and mathematical modeling. A famous paradigm in this field is the Levy Flight
Hypothesis: It states that under certain mathematical conditions Levy flights,
whi... | 0 | 0 | 0 | 0 | 1 | 0 |
Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning | Obtaining detailed and reliable data about local economic livelihoods in
developing countries is expensive, and data are consequently scarce. Previous
work has shown that it is possible to measure local-level economic livelihoods
using high-resolution satellite imagery. However, such imagery is relatively
expensive t... | 1 | 0 | 0 | 1 | 0 | 0 |
Implicit Regularization in Matrix Factorization | We study implicit regularization when optimizing an underdetermined quadratic
objective over a matrix $X$ with gradient descent on a factorization of $X$. We
conjecture and provide empirical and theoretical evidence that with small
enough step sizes and initialization close enough to the origin, gradient
descent on a... | 1 | 0 | 0 | 1 | 0 | 0 |
A general theory of singular values with applications to signal denoising | We study the Pareto frontier for two competing norms $\|\cdot\|_X$ and
$\|\cdot\|_Y$ on a vector space. For a given vector $c$, the pareto frontier
describes the possible values of $(\|a\|_X,\|b\|_Y)$ for a decomposition
$c=a+b$. The singular value decomposition of a matrix is closely related to the
Pareto frontier f... | 1 | 0 | 1 | 1 | 0 | 0 |
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics | Deep Neural Networks are increasingly being used in a variety of machine
learning applications applied to user data on the cloud. However, this approach
introduces a number of privacy and efficiency challenges, as the cloud operator
can perform secondary inferences on the available data. Recently, advances in
edge pr... | 1 | 0 | 0 | 0 | 0 | 0 |
Exploiting Apache Spark platform for CMS computing analytics | The CERN IT provides a set of Hadoop clusters featuring more than 5 PBytes of
raw storage with different open-source, user-level tools available for
analytical purposes. The CMS experiment started collecting a large set of
computing meta-data, e.g. dataset, file access logs, since 2015. These records
represent a valu... | 0 | 1 | 0 | 0 | 0 | 0 |
Scalable Co-Optimization of Morphology and Control in Embodied Machines | Evolution sculpts both the body plans and nervous systems of agents together
over time. In contrast, in AI and robotics, a robot's body plan is usually
designed by hand, and control policies are then optimized for that fixed
design. The task of simultaneously co-optimizing the morphology and controller
of an embodied... | 1 | 0 | 0 | 0 | 0 | 0 |
Normalizing the Taylor expansion of non-deterministic λ-terms, via parallel reduction of resource vectors | It has been known since Ehrhard and Regnier's seminal work on the Taylor
expansion of {\lambda}-terms that this operation commutes with normalization:
the expansion of a {\lambda}-term is always normalizable and its normal form is
the expansion of the Böhm tree of the term. We generalize this result to the
non-unifor... | 1 | 0 | 0 | 0 | 0 | 0 |
Quantifying telescope phase discontinuities external to AO-systems by use of Phase Diversity and Focal Plane Sharpening | We propose and apply two methods to estimate pupil plane phase
discontinuities for two realistic scenarios on VLT and Keck. The methods use
both Phase Diversity and a form of image sharpening. For the case of VLT, we
simulate the `low wind effect' (LWE) which is responsible for focal plane
errors in the SPHERE system... | 0 | 1 | 0 | 0 | 0 | 0 |
Adaptive Multilevel Monte Carlo Approximation of Distribution Functions | We analyse a multilevel Monte Carlo method for the approximation of
distribution functions of univariate random variables. Since, by assumption,
the target distribution is not known explicitly, approximations have to be
used. We provide an asymptotic analysis of the error and the cost of the
algorithm. Furthermore we... | 0 | 0 | 1 | 1 | 0 | 0 |
Constraints on the pre-impact orbits of Solar System giant impactors | We provide a fast method for computing constraints on impactor pre-impact
orbits, applying this to the late giant impacts in the Solar System. These
constraints can be used to make quick, broad comparisons of different collision
scenarios, identifying some immediately as low-probability events, and
narrowing the para... | 0 | 1 | 0 | 0 | 0 | 0 |
Dark matter in the Reticulum II dSph: a radio search | We present a deep radio search in the Reticulum II dwarf spheroidal (dSph)
galaxy performed with the Australia Telescope Compact Array. Observations were
conducted at 16 cm wavelength, with an rms sensitivity of 0.01 mJy/beam, and
with the goal of searching for synchrotron emission induced by annihilation or
decay of... | 0 | 1 | 0 | 0 | 0 | 0 |
Relevant change points in high dimensional time series | This paper investigates the problem of detecting relevant change points in
the mean vector, say $\mu_t =(\mu_{1,t},\ldots ,\mu_{d,t})^T$ of a high
dimensional time series $(Z_t)_{t\in \mathbb{Z}}$.
While the recent literature on testing for change points in this context
considers hypotheses for the equality of the me... | 0 | 0 | 1 | 1 | 0 | 0 |
Disentangling in Variational Autoencoders with Natural Clustering | Learning representations that disentangle the underlying factors of
variability in data is an intuitive precursor to AI with human-like reasoning.
Consequently, it has been the object of many efforts of the machine learning
community. This work takes a step further in this direction by addressing the
scenario where g... | 1 | 0 | 0 | 1 | 0 | 0 |
Calibrated Boosting-Forest | Excellent ranking power along with well calibrated probability estimates are
needed in many classification tasks. In this paper, we introduce a technique,
Calibrated Boosting-Forest that captures both. This novel technique is an
ensemble of gradient boosting machines that can support both continuous and
binary labels... | 1 | 0 | 0 | 1 | 0 | 0 |
Phase Diagram of $α$-RuCl$_3$ in an in-plane Magnetic Field | The low-temperature magnetic phases in the layered honeycomb lattice material
$\alpha$-RuCl$_3$ have been studied as a function of in-plane magnetic field.
In zero field this material orders magnetically below 7 K with so-called zigzag
order within the honeycomb planes. Neutron diffraction data show that a
relatively... | 0 | 1 | 0 | 0 | 0 | 0 |
Post hoc inference via joint family-wise error rate control | We introduce a general methodology for post hoc inference in a large-scale
multiple testing framework. The approach is called "user-agnostic" in the sense
that the statistical guarantee on the number of correct rejections holds for
any set of candidate items selected by the user (after having seen the data).
This tas... | 0 | 0 | 1 | 1 | 0 | 0 |
Jamming Resistant Receivers for Massive MIMO | We design jamming resistant receivers to enhance the robustness of a massive
MIMO uplink channel against jamming. In the pilot phase, we estimate not only
the desired channel, but also the jamming channel by exploiting purposely
unused pilot sequences. The jamming channel estimate is used to construct the
linear rece... | 1 | 0 | 0 | 0 | 0 | 0 |
Thickening and sickening the SYK model | We discuss higher dimensional generalizations of the 0+1-dimensional
Sachdev-Ye-Kitaev (SYK) model that has recently become the focus of intensive
interdisciplinary studies by, both, the condensed matter and field-theoretical
communities. Unlike the previous constructions where multiple SYK copies would
be coupled to... | 0 | 1 | 0 | 0 | 0 | 0 |
Hidden chiral symmetries in BDI multichannel Kitaev chains | Realistic implementations of the Kitaev chain require, in general, the
introduction of extra internal degrees of freedom. In the present work, we
discuss the presence of hidden BDI symmetries for free Hamiltonians describing
systems with an arbitrary number of internal degrees of freedom. We generalize
results of a s... | 0 | 1 | 0 | 0 | 0 | 0 |
Charge Berezinskii-Kosterlitz-Thouless transition in superconducting NbTiN films | A half-century after the discovery of the superconductor-insulator transition
(SIT), one of the fundamental predictions of the theory, the charge
Berezinskii-Kosterlitz-Thouless (BKT) transition that is expected to occur at
the insulating side of the SIT, has remained unobserved. The charge BKT
transition is a phenom... | 0 | 1 | 0 | 0 | 0 | 0 |
Seed-Driven Geo-Social Data Extraction - Full Version | Geo-social data has been an attractive source for a variety of problems such
as mining mobility patterns, link prediction, location recommendation, and
influence maximization. However, new geo-social data is increasingly
unavailable and suffers several limitations. In this paper, we aim to remedy
the problem of effec... | 1 | 0 | 0 | 0 | 0 | 0 |
Bayesian random-effects meta-analysis using the bayesmeta R package | The random-effects or normal-normal hierarchical model is commonly utilized
in a wide range of meta-analysis applications. A Bayesian approach to inference
is very attractive in this context, especially when a meta-analysis is based
only on few studies. The bayesmeta R package provides readily accessible tools
to per... | 0 | 0 | 0 | 1 | 0 | 0 |
Dirichlet Mixture Model based VQ Performance Prediction for Line Spectral Frequency | In this paper, we continue our previous work on the Dirichlet mixture model
(DMM)-based VQ to derive the performance bound of the LSF VQ. The LSF
parameters are transformed into the $\Delta$LSF domain and the underlying
distribution of the $\Delta$LSF parameters are modelled by a DMM with finite
number of mixture com... | 1 | 0 | 0 | 1 | 0 | 0 |
Query K-means Clustering and the Double Dixie Cup Problem | We consider the problem of approximate $K$-means clustering with outliers and
side information provided by same-cluster queries and possibly noisy answers.
Our solution shows that, under some mild assumptions on the smallest cluster
size, one can obtain an $(1+\epsilon)$-approximation for the optimal potential
with p... | 0 | 0 | 0 | 1 | 0 | 0 |
On the spectrum of directed uniform and non-uniform hypergraphs | Here, we suggest a method to represent general directed uniform and
non-uniform hypergraphs by different connectivity tensors. We show many results
on spectral properties of undirected hypergraphs also hold for general directed
uniform hypergraphs. Our representation of a connectivity tensor will be very
useful for t... | 0 | 0 | 1 | 0 | 0 | 0 |
Inference for partial correlation when data are missing not at random | We introduce uncertainty regions to perform inference on partial correlations
when data are missing not at random. These uncertainty regions are shown to
have a desired asymptotic coverage. Their finite sample performance is
illustrated via simulations and real data example.
| 0 | 0 | 1 | 1 | 0 | 0 |
Interstitial Content Detection | Interstitial content is online content which grays out, or otherwise obscures
the main page content. In this technical report, we discuss exploratory
research into detecting the presence of interstitial content in web pages. We
discuss the use of computer vision techniques to detect interstitials, and the
potential u... | 1 | 0 | 0 | 0 | 0 | 0 |
Perfect spike detection via time reversal | Spiking neuronal networks are usually simulated with three main simulation
schemes: the classical time-driven and event-driven schemes, and the more
recent hybrid scheme. All three schemes evolve the state of a neuron through a
series of checkpoints: equally spaced in the first scheme and determined
neuron-wise by sp... | 0 | 1 | 1 | 0 | 0 | 0 |
A response to: "NIST experts urge caution in use of courtroom evidence presentation method" | A press release from the National Institute of Standards and Technology
(NIST)could potentially impede progress toward improving the analysis of
forensic evidence and the presentation of forensic analysis results in courts
in the United States and around the world. "NIST experts urge caution in use of
courtroom evide... | 0 | 0 | 0 | 1 | 0 | 0 |
Safe Model-based Reinforcement Learning with Stability Guarantees | Reinforcement learning is a powerful paradigm for learning optimal policies
from experimental data. However, to find optimal policies, most reinforcement
learning algorithms explore all possible actions, which may be harmful for
real-world systems. As a consequence, learning algorithms are rarely applied on
safety-cr... | 1 | 0 | 0 | 1 | 0 | 0 |
Refining Trace Abstraction using Abstract Interpretation | The CEGAR loop in software model checking notoriously diverges when the
abstraction refinement procedure does not derive a loop invariant. An
abstraction refinement procedure based on an SMT solver is applied to a trace,
i.e., a restricted form of a program (without loops). In this paper, we present
a new abstraction... | 1 | 0 | 0 | 0 | 0 | 0 |
A partial inverse problem for the Sturm-Liouville operator on the graph with a loop | The Sturm-Liouville operator with singular potentials on the lasso graph is
considered. We suppose that the potential is known a priori on the boundary
edge, and recover the potential on the loop from a part of the spectrum and
some additional data. We prove the uniqueness theorem and provide a
constructive algorithm... | 0 | 0 | 1 | 0 | 0 | 0 |
BPjs --- a framework for modeling reactive systems using a scripting language and BP | We describe some progress towards a new common framework for model driven
engineering, based on behavioral programming. The tool we have developed
unifies almost all of the work done in behavioral programming so far, under a
common set of interfaces. Its architecture supports pluggable event selection
strategies, whi... | 1 | 0 | 0 | 0 | 0 | 0 |
Design of Quantum Circuits for Galois Field Squaring and Exponentiation | This work presents an algorithm to generate depth, quantum gate and qubit
optimized circuits for $GF(2^m)$ squaring in the polynomial basis. Further, to
the best of our knowledge the proposed quantum squaring circuit algorithm is
the only work that considers depth as a metric to be optimized. We compared
circuits gen... | 1 | 0 | 0 | 0 | 0 | 0 |
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions | We examine the Bayes-consistency of a recently proposed
1-nearest-neighbor-based multiclass learning algorithm. This algorithm is
derived from sample compression bounds and enjoys the statistical advantages of
tight, fully empirical generalization bounds, as well as the algorithmic
advantages of a faster runtime and ... | 1 | 0 | 1 | 1 | 0 | 0 |
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes, from any initialization | Adaptive gradient methods such as AdaGrad and its variants update the
stepsize in stochastic gradient descent on the fly according to the gradients
received along the way; such methods have gained widespread use in large-scale
optimization for their ability to converge robustly, without the need to fine
tune paramete... | 0 | 0 | 0 | 1 | 0 | 0 |
On polynomially integrable convex bodies | An infinitely smooth convex body in $\mathbb R^n$ is called polynomially
integrable of degree $N$ if its parallel section functions are polynomials of
degree $N$. We prove that the only smooth convex bodies with this property in
odd dimensions are ellipsoids, if $N\ge n-1$. This is in contrast with the case
of even d... | 0 | 0 | 1 | 0 | 0 | 0 |
Percentile Policies for Tracking of Markovian Random Processes with Asymmetric Cost and Observation | Motivated by wide-ranging applications such as video delivery over networks
using Multiple Description Codes, congestion control, and inventory management,
we study the state-tracking of a Markovian random process with a known
transition matrix and a finite ordered state set. The decision-maker must
select a state as... | 1 | 0 | 0 | 0 | 0 | 0 |
On Information Transfer Based Characterization of Power System Stability | In this paper, we present a novel approach to identify the generators and
states responsible for the small-signal stability of power networks. To this
end, the newly developed notion of information transfer between the states of a
dynamical system is used. In particular, using the concept of information
transfer, whi... | 1 | 0 | 0 | 0 | 0 | 0 |
Using Session Types for Reasoning About Boundedness in the Pi-Calculus | The classes of depth-bounded and name-bounded processes are fragments of the
pi-calculus for which some of the decision problems that are undecidable for
the full calculus become decidable. P is depth-bounded at level k if every
reduction sequence for P contains successor processes with at most k active
nested restri... | 1 | 0 | 0 | 0 | 0 | 0 |
Combinatorial Secretary Problems with Ordinal Information | The secretary problem is a classic model for online decision making.
Recently, combinatorial extensions such as matroid or matching secretary
problems have become an important tool to study algorithmic problems in dynamic
markets. Here the decision maker must know the numerical value of each arriving
element, which c... | 1 | 0 | 0 | 0 | 0 | 0 |
Modeling the Formation of Social Conventions in Multi-Agent Populations | In order to understand the formation of social conventions we need to know
the specific role of control and learning in multi-agent systems. To advance in
this direction, we propose, within the framework of the Distributed Adaptive
Control (DAC) theory, a novel Control-based Reinforcement Learning architecture
(CRL) ... | 0 | 0 | 0 | 1 | 1 | 0 |
A class of C*-algebraic locally compact quantum groupoids Part I. Motivation and definition | In this series of papers, we develop the theory of a class of locally compact
quantum groupoids, which is motivated by the purely algebraic notion of weak
multiplier Hopf algebras. In this Part I, we provide motivation and formulate
the definition in the C*-algebra framework. Existence of a certain canonical
idempote... | 0 | 0 | 1 | 0 | 0 | 0 |
Symmetry-enforced quantum spin Hall insulators in $π$-flux models | We prove a Lieb-Schultz-Mattis theorem for the quantum spin Hall effect
(QSHE) in two-dimensional $\pi$-flux models. In the presence of time reversal,
$U(1)$ charge conservation and magnetic translation (with $\pi$-flux per unit
cell) symmetries, if a generic interacting Hamiltonian has a unique gapped
symmetric grou... | 0 | 1 | 0 | 0 | 0 | 0 |
Stabilized microwave-frequency transfer using optical phase sensing and actuation | We present a stabilized microwave-frequency transfer technique that is based
on optical phase-sensing and optical phase-actuation. This technique shares
several attributes with optical-frequency transfer and therefore exhibits
several advantages over other microwave-frequency transfer techniques. We
demonstrated stab... | 0 | 1 | 0 | 0 | 0 | 0 |
Spectral sets for numerical range | We define and study a numerical-range analogue of the notion of spectral set.
Among the results obtained are a positivity criterion and a dilation theorem,
analogous to those already known for spectral sets. An important difference
from the classical definition is the role played in the new definition by the
base poi... | 0 | 0 | 1 | 0 | 0 | 0 |
Learning of Gaussian Processes in Distributed and Communication Limited Systems | It is of fundamental importance to find algorithms obtaining optimal
performance for learning of statistical models in distributed and communication
limited systems. Aiming at characterizing the optimal strategies, we consider
learning of Gaussian Processes (GPs) in distributed systems as a pivotal
example. We first ... | 1 | 0 | 0 | 1 | 0 | 0 |
Deep Learning: A Critical Appraisal | Although deep learning has historical roots going back decades, neither the
term "deep learning" nor the approach was popular just over five years ago,
when the field was reignited by papers such as Krizhevsky, Sutskever and
Hinton's now classic (2012) deep network model of Imagenet. What has the field
discovered in ... | 0 | 0 | 0 | 1 | 0 | 0 |
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction | Social media is an useful platform to share health-related information due to
its vast reach. This makes it a good candidate for public-health monitoring
tasks, specifically for pharmacovigilance. We study the problem of extraction
of Adverse-Drug-Reaction (ADR) mentions from social media, particularly from
twitter. ... | 1 | 0 | 0 | 0 | 0 | 0 |
A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking | This paper introduces a novel deep learning framework including a
lexicon-based approach for sentence-level prediction of sentiment label
distribution. We propose to first apply semantic rules and then use a Deep
Convolutional Neural Network (DeepCNN) for character-level embeddings in order
to increase information fo... | 1 | 0 | 0 | 0 | 0 | 0 |
A Tree-based Approach for Detecting Redundant Business Rules in very Large Financial Datasets | Net Asset Value (NAV) calculation and validation is the principle task of a
fund administrator. If the NAV of a fund is calculated incorrectly then there
is huge impact on the fund administrator; such as monetary compensation,
reputational loss, or loss of business. In general, these companies use the
same methodolog... | 1 | 0 | 0 | 0 | 0 | 0 |
Dynamics of the nonlinear Klein-Gordon equation in the nonrelativistic limit, I | The nonlinear Klein-Gordon (NLKG) equation on a manifold $M$ in the
nonrelativistic limit, namely as the speed of light $c$ tends to infinity, is
considered. In particular, a higher-order normalized approximation of NLKG
(which corresponds to the NLS at order $r=1$) is constructed, and when $M$ is a
smooth compact ma... | 0 | 0 | 1 | 0 | 0 | 0 |
Surface plasmons in superintense laser-solid interactions | We review studies of superintense laser interaction with solid targets where
the generation of propagating surface plasmons (or surface waves) plays a key
role. These studies include the onset of plasma instabilities at the irradiated
surface, the enhancement of secondary emissions (protons, electrons, and
photons as... | 0 | 1 | 0 | 0 | 0 | 0 |
Jacquard: A Large Scale Dataset for Robotic Grasp Detection | Grasping skill is a major ability that a wide number of real-life
applications require for robotisation. State-of-the-art robotic grasping
methods perform prediction of object grasp locations based on deep neural
networks. However, such networks require huge amount of labeled data for
training making this approach of... | 1 | 0 | 0 | 0 | 0 | 0 |
Hochschild cohomology of some quantum complete intersections | We compute the Hochschild cohomology ring of the algebras $A= k\langle X,
Y\rangle/ (X^a, XY-qYX, Y^a)$ over a field $k$ where $a\geq 2$ and where $q\in
k$ is a primitive $a$-th root of unity. We find the the dimension of
$\mathrm{HH}^n(A)$ and show that it is independent of $a$. We compute
explicitly the ring struct... | 0 | 0 | 1 | 0 | 0 | 0 |
Stock Market Visualization | We provide complete source code for a front-end GUI and its back-end
counterpart for a stock market visualization tool. It is built based on the
"functional visualization" concept we discuss, whereby functionality is not
sacrificed for fancy graphics. The GUI, among other things, displays a
color-coded signal (comput... | 0 | 0 | 0 | 0 | 0 | 1 |
Sharp estimates for solutions of mean field equation with collapsing singularity | The pioneering work of Brezis-Merle [7], Li-Shafrir [27], Li [26] and
Bartolucci-Tarantello [4] showed that any sequence of blow up solutions for
(singular) mean field equations of Liouville type must exhibit a "mass
concentration" property. A typical situation of blow-up occurs when we let the
singular (vortex) poin... | 0 | 0 | 1 | 0 | 0 | 0 |
Probabilistic Forwarding of Coded Packets on Networks | We consider a scenario of broadcasting information over a network of nodes
connected by noiseless communication links. A source node in the network has
$k$ data packets to broadcast, and it suffices that a large fraction of the
network nodes receives the broadcast. The source encodes the $k$ data packets
into $n \ge ... | 1 | 0 | 0 | 0 | 0 | 0 |
Quantifiers on languages and codensity monads | This paper contributes to the techniques of topo-algebraic recognition for
languages beyond the regular setting as they relate to logic on words. In
particular, we provide a general construction on recognisers corresponding to
adding one layer of various kinds of quantifiers and prove a related
Reutenauer-type theore... | 1 | 0 | 1 | 0 | 0 | 0 |
Conservative Exploration using Interleaving | In many practical problems, a learning agent may want to learn the best
action in hindsight without ever taking a bad action, which is significantly
worse than the default production action. In general, this is impossible
because the agent has to explore unknown actions, some of which can be bad, to
learn better acti... | 0 | 0 | 0 | 1 | 0 | 0 |
Power Allocation for Full-Duplex Relay Selection in Underlay Cognitive Radio Networks: Coherent versus Non-Coherent Scenarios | This paper investigates power control and relay selection in Full Duplex
Cognitive Relay Networks (FDCRNs), where the secondary-user (SU) relays can
simultaneously receive data from the SU source and forward them to the SU
destination. We study both non-coherent and coherent scenarios. In the
non-coherent case, the S... | 1 | 0 | 1 | 1 | 0 | 0 |
Carina: Interactive Million-Node Graph Visualization using Web Browser Technologies | We are working on a scalable, interactive visualization system, called
Carina, for people to explore million-node graphs. By using latest web browser
technologies, Carina offers fast graph rendering via WebGL, and works across
desktop (via Electron) and mobile platforms. Different from most existing graph
visualizati... | 1 | 0 | 0 | 0 | 0 | 0 |
Domination between different products and finiteness of associated semi-norms | In this note we determine all possible dominations between different products
of manifolds, when none of the factors of the codomain is dominated by
products. As a consequence, we determine the finiteness of every
product-associated functorial semi-norm on the fundamental classes of the
aforementioned products. These... | 0 | 0 | 1 | 0 | 0 | 0 |
Discriminant of the ordinary transversal singularity type. The local aspects | Consider a space X with the singular locus, Z=Sing(X), of positive dimension.
Suppose both Z and X are locally complete intersections. The transversal type
of X along Z is generically constant but at some points of Z it degenerates. We
introduce (under certain conditions) the discriminant of the transversal type,
a s... | 0 | 0 | 1 | 0 | 0 | 0 |
Possible spin excitation structure in monolayer FeSe grown on SrTiO$_{3}$ | Based on recent high-resolution angle-resolved photoemission spectroscopy
measurement in monolayer FeSe grown on SrTiO$_{3}$, we constructed a
tight-binding model and proposed a superconducting (SC) pairing function which
can well fit the observed band structure and SC gap anisotropy. Then we
investigated the spin ex... | 0 | 1 | 0 | 0 | 0 | 0 |
Transient behavior of the solutions to the second order difference equations by the renormalization method based on Newton-Maclaurin expansion | The renormalization method based on the Newton-Maclaurin expansion is applied
to study the transient behavior of the solutions to the difference equations as
they tend to the steady-states. The key and also natural step is to make the
renormalization equations to be continuous such that the elementary functions
can b... | 0 | 1 | 1 | 0 | 0 | 0 |
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting | We present a large-scale study of gender bias in occupation classification, a
task where the use of machine learning may lead to negative outcomes on
peoples' lives. We analyze the potential allocation harms that can result from
semantic representation bias. To do so, we study the impact on occupation
classification ... | 1 | 0 | 0 | 1 | 0 | 0 |
SphereFace: Deep Hypersphere Embedding for Face Recognition | This paper addresses deep face recognition (FR) problem under open-set
protocol, where ideal face features are expected to have smaller maximal
intra-class distance than minimal inter-class distance under a suitably chosen
metric space. However, few existing algorithms can effectively achieve this
criterion. To this ... | 1 | 0 | 0 | 0 | 0 | 0 |
Speed-of-light pulses in the massless nonlinear Dirac equation with a potential | We consider the massless nonlinear Dirac (NLD) equation in $1+1$ dimension
with scalar-scalar self-interaction $\frac{g^2}{2} (\bar{\Psi} \Psi)^2$ in the
presence of three external electromagnetic potentials $V(x)$, a potential
barrier, a constant potential, and a potential well. By solving numerically the
NLD equati... | 0 | 1 | 0 | 0 | 0 | 0 |
A Hybrid Feasibility Constraints-Guided Search to the Two-Dimensional Bin Packing Problem with Due Dates | The two-dimensional non-oriented bin packing problem with due dates packs a
set of rectangular items, which may be rotated by 90 degrees, into identical
rectangular bins. The bins have equal processing times. An item's lateness is
the difference between its due date and the completion time of its bin. The
problem pac... | 1 | 0 | 0 | 0 | 0 | 0 |
The earliest phases of high-mass star formation, as seen in NGC 6334 by \emph{Herschel} | To constrain models of high-mass star formation, the Herschel/HOBYS KP aims
at discovering massive dense cores (MDCs) able to host the high-mass analogs of
low-mass prestellar cores, which have been searched for over the past decade.
We here focus on NGC6334, one of the best-studied HOBYS molecular cloud
complexes.
W... | 0 | 1 | 0 | 0 | 0 | 0 |
Robust consistent a posteriori error majorants for approximate solutions of diffusion-reaction equations | Efficiency of the error control of numerical solutions of partial
differential equations entirely depends on the two factors: accuracy of an a
posteriori error majorant and the computational cost of its evaluation for some
test function/vector-function plus the cost of the latter. In the paper,
consistency of an a po... | 0 | 0 | 1 | 0 | 0 | 0 |
Extended opportunity cost model to find near equilibrium electricity prices under non-convexities | This paper finds near equilibrium prices for electricity markets with
nonconvexities due to binary variables, in order to reduce the market
participants' opportunity costs, such as generators' unrecovered costs. The
opportunity cost is defined as the difference between the profit when the
instructions of the market o... | 0 | 0 | 0 | 0 | 0 | 1 |
Kernel Two-Sample Hypothesis Testing Using Kernel Set Classification | The two-sample hypothesis testing problem is studied for the challenging
scenario of high dimensional data sets with small sample sizes. We show that
the two-sample hypothesis testing problem can be posed as a one-class set
classification problem. In the set classification problem the goal is to
classify a set of dat... | 0 | 0 | 0 | 1 | 0 | 0 |
An Efficient Approach for Removing Look-ahead Bias in the Least Square Monte Carlo Algorithm: Leave-One-Out | The least square Monte Carlo (LSM) algorithm proposed by Longstaff and
Schwartz [2001] is the most widely used method for pricing options with early
exercise features. The LSM estimator contains look-ahead bias, and the
conventional technique of removing it necessitates an independent set of
simulations. This study p... | 0 | 0 | 0 | 0 | 0 | 1 |
Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities | Humans can ground natural language commands to tasks at both abstract and
fine-grained levels of specificity. For instance, a human forklift operator can
be instructed to perform a high-level action, like "grab a pallet" or a
low-level action like "tilt back a little bit." While robots are also capable
of grounding l... | 1 | 0 | 0 | 0 | 0 | 0 |
Nonlocal Venttsel' diffusion in fractal-type domains: regularity results and numerical approximation | We study a nonlocal Venttsel' problem in a non-convex bounded domain with a
Koch-type boundary. Regularity results of the strict solution are proved in
weighted Sobolev spaces. The numerical approximation of the problem is carried
out and optimal a priori error estimates are obtained.
| 0 | 0 | 1 | 0 | 0 | 0 |
Magnon Spin-Momentum Locking: Various Spin Vortices and Dirac Magnons in Noncollinear Antiferromagnets | We generalize the concept of the spin-momentum locking to magnonic systems
and derive the formula to calculate the spin expectation value for one-magnon
states of general two-body spin Hamiltonians. We give no-go conditions for
magnon spin to be independent of momentum. As examples of the magnon
spin-momentum locking... | 0 | 1 | 0 | 0 | 0 | 0 |
Analytic evaluation of some three- and four- electron atomic integrals involving s STO's and exponential correlation with unlinked $r_{ij}$'s | The method of evaluation outlined in a previous work has been utilized here
to evaluate certain other three- electron and four- electron atomic integrals
involving s Slater-type orbitals and exponential correlation with unlinked
$r_{ij}$'s. Limiting expressions for various such integrals have been derived,
which has ... | 0 | 1 | 0 | 0 | 0 | 0 |
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization | For distributed computing environment, we consider the empirical risk
minimization problem and propose a distributed and communication-efficient
Newton-type optimization method. At every iteration, each worker locally finds
an Approximate NewTon (ANT) direction, which is sent to the main driver. The
main driver, then... | 1 | 0 | 0 | 1 | 0 | 0 |
Stability and performance analysis of linear positive systems with delays using input-output methods | It is known that input-output approaches based on scaled small-gain theorems
with constant $D$-scalings and integral linear constraints are non-conservative
for the analysis of some classes of linear positive systems interconnected with
uncertain linear operators. This dramatically contrasts with the case of
general ... | 1 | 0 | 1 | 0 | 0 | 0 |
Joint Inference of User Community and Interest Patterns in Social Interaction Networks | Online social media have become an integral part of our social beings.
Analyzing conversations in social media platforms can lead to complex
probabilistic models to understand social interaction networks. In this paper,
we present a modeling approach for characterizing social interaction networks
by jointly inferring... | 1 | 1 | 0 | 0 | 0 | 0 |
A mode theory for the electoweak interaction and its application to neutrino masses | A theory is proposed, in which the basic elements of reality are assumed to
be something called modes. Particles are interpreted as composites of modes,
corresponding to eigenstates of the interaction Hamiltonian of modes. At the
fundamental level of the proposed theory, there are two basic modes only,whose
spinor sp... | 0 | 1 | 0 | 0 | 0 | 0 |
Guided Machine Learning for power grid segmentation | The segmentation of large scale power grids into zones is crucial for control
room operators when managing the grid complexity near real time. In this paper
we propose a new method in two steps which is able to automatically do this
segmentation, while taking into account the real time context, in order to help
them ... | 0 | 0 | 0 | 1 | 0 | 0 |
121,123Sb NQR as a microscopic probe in Te doped correlated semimetal FeSb2 : emergence of electronic Griffith phase, magnetism and metallic behavior % | $^{121,123}Sb$ nuclear quadrupole resonance (NQR) was applied to
$Fe(Sb_{1-x}Te_x)_2$ in the low doping regime (\emph{x = 0, 0.01} and
\emph{0.05}) as a microscopic zero field probe to study the evolution of
\emph{3d} magnetism and the emergence of metallic behavior. Whereas the NQR
spectra itself reflects the degree... | 0 | 1 | 0 | 0 | 0 | 0 |
The Merging Path Plot: adaptive fusing of k-groups with likelihood-based model selection | There are many statistical tests that verify the null hypothesis: the
variable of interest has the same distribution among k-groups. But once the
null hypothesis is rejected, how to present the structure of dissimilarity
between groups? In this article, we introduce The Merging Path Plot - a
methodology, and factorMe... | 1 | 0 | 0 | 1 | 0 | 0 |
Constraint on cosmological parameters by Hubble parameter from gravitational wave standard sirens of neutron star binary system | In this paper, we present a new method of measuring Hubble parameter($H(z)$),
making use of the anisotropy of luminosity distance($d_{L}$), and the analysis
of gravitational wave(GW) of neutron star(NS) binary system. The method has
never been put into practice before due to the lack of the ability of detecting
GW. L... | 0 | 1 | 0 | 0 | 0 | 0 |
Semidefinite tests for latent causal structures | Testing whether a probability distribution is compatible with a given
Bayesian network is a fundamental task in the field of causal inference, where
Bayesian networks model causal relations. Here we consider the class of causal
structures where all correlations between observed quantities are solely due to
the influe... | 0 | 0 | 1 | 1 | 0 | 0 |
From atomistic model to the Peierls-Nabarro model with $γ$-surface for dislocations | The Peierls-Nabarro (PN) model for dislocations is a hybrid model that
incorporates the atomistic information of the dislocation core structure into
the continuum theory. In this paper, we study the convergence from a full
atomistic model to the PN model with $\gamma$-surface for the dislocation in a
bilayer system (... | 0 | 0 | 1 | 0 | 0 | 0 |
A family of monogenic $S_4$ quartic fields arising from elliptic curves | We consider partial torsion fields (fields generated by a root of a division
polynomial) for elliptic curves. By analysing the reduction properties of
elliptic curves, and applying the Montes Algorithm, we obtain information about
the ring of integers. In particular, for the partial $3$-torsion fields for a
certain o... | 0 | 0 | 1 | 0 | 0 | 0 |
Aggregation and Resource Scheduling in Machine-type Communication Networks: A Stochastic Geometry Approach | Data aggregation is a promising approach to enable massive machine-type
communication (mMTC). This paper focuses on the aggregation phase where a
massive number of machine-type devices (MTDs) transmit to aggregators. By using
non-orthogonal multiple access (NOMA) principles, we allow several MTDs to
share the same or... | 1 | 0 | 0 | 1 | 0 | 0 |
Setting Players' Behaviors in World of Warcraft through Semi-Supervised Learning | Digital games are one of the major and most important fields on the
entertainment domain, which also involves cinema and music. Numerous attempts
have been done to improve the quality of the games including more realistic
artistic production and computer science. Assessing the player's behavior, a
task known as playe... | 1 | 0 | 0 | 0 | 0 | 0 |
Boundary Hamiltonian theory for gapped topological orders | In this letter, we report our systematic construction of the lattice
Hamiltonian model of topological orders on open surfaces, with explicit
boundary terms. We do this mainly for the Levin-Wen stringnet model. The full
Hamiltonian in our approach yields a topologically protected, gapped energy
spectrum, with the corr... | 0 | 1 | 1 | 0 | 0 | 0 |
Euler characteristics of cominuscule quantum K-theory | We prove an identity relating the product of two opposite Schubert varieties
in the (equivariant) quantum K-theory ring of a cominuscule flag variety to the
minimal degree of a rational curve connecting the Schubert varieties. We deduce
that the sum of the structure constants associated to any product of Schubert
cla... | 0 | 0 | 1 | 0 | 0 | 0 |
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF | Dialogue Act recognition associate dialogue acts (i.e., semantic labels) to
utterances in a conversation. The problem of associating semantic labels to
utterances can be treated as a sequence labeling problem. In this work, we
build a hierarchical recurrent neural network using bidirectional LSTM as a
base unit and t... | 1 | 0 | 0 | 0 | 0 | 0 |
Noise Stability is computable and low dimensional | Questions of noise stability play an important role in hardness of
approximation in computer science as well as in the theory of voting. In many
applications, the goal is to find an optimizer of noise stability among all
possible partitions of $\mathbb{R}^n$ for $n \geq 1$ to $k$ parts with given
Gaussian measures $\... | 1 | 0 | 1 | 0 | 0 | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.