ID int64 1 16.8k | TITLE stringlengths 7 239 | ABSTRACT stringlengths 7 2.59k | Computer Science int64 0 1 | Physics int64 0 1 | Mathematics int64 0 1 | Statistics int64 0 1 | Quantitative Biology int64 0 1 | Quantitative Finance int64 0 1 |
|---|---|---|---|---|---|---|---|---|
2,801 | Insider-Attacks on Physical-Layer Group Secret-Key Generation in Wireless Networks | Physical-layer group secret-key (GSK) generation is an effective way of
generating secret keys in wireless networks, wherein the nodes exploit inherent
randomness in the wireless channels to generate group keys, which are
subsequently applied to secure messages while broadcasting, relaying, and other
network-level co... | 1 | 0 | 1 | 0 | 0 | 0 |
2,802 | Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning | Interactive reinforcement learning (IRL) extends traditional reinforcement
learning (RL) by allowing an agent to interact with parent-like trainers during
a task. In this paper, we present an IRL approach using dynamic audio-visual
input in terms of vocal commands and hand gestures as feedback. Our
architecture integ... | 1 | 0 | 0 | 0 | 0 | 0 |
2,803 | Estimating the reproductive number, total outbreak size, and reporting rates for Zika epidemics in South and Central America | As South and Central American countries prepare for increased birth defects
from Zika virus outbreaks and plan for mitigation strategies to minimize
ongoing and future outbreaks, understanding important characteristics of Zika
outbreaks and how they vary across regions is a challenging and important
problem. We devel... | 0 | 0 | 0 | 1 | 0 | 0 |
2,804 | A systematic study of the class imbalance problem in convolutional neural networks | In this study, we systematically investigate the impact of class imbalance on
classification performance of convolutional neural networks (CNNs) and compare
frequently used methods to address the issue. Class imbalance is a common
problem that has been comprehensively studied in classical machine learning,
yet very l... | 1 | 0 | 0 | 1 | 0 | 0 |
2,805 | New simple lattices in products of trees and their projections | Let $\Gamma \leq \mathrm{Aut}(T_{d_1}) \times \mathrm{Aut}(T_{d_2})$ be a
group acting freely and transitively on the product of two regular trees of
degree $d_1$ and $d_2$. We develop an algorithm which computes the closure of
the projection of $\Gamma$ on $\mathrm{Aut}(T_{d_t})$ under the hypothesis that
$d_t \geq ... | 0 | 0 | 1 | 0 | 0 | 0 |
2,806 | Fourth-order time-stepping for stiff PDEs on the sphere | We present in this paper algorithms for solving stiff PDEs on the unit sphere
with spectral accuracy in space and fourth-order accuracy in time. These are
based on a variant of the double Fourier sphere method in coefficient space
with multiplication matrices that differ from the usual ones, and
implicit-explicit tim... | 0 | 0 | 1 | 0 | 0 | 0 |
2,807 | On Formalizing Fairness in Prediction with Machine Learning | Machine learning algorithms for prediction are increasingly being used in
critical decisions affecting human lives. Various fairness formalizations, with
no firm consensus yet, are employed to prevent such algorithms from
systematically discriminating against people based on certain attributes
protected by law. The a... | 1 | 0 | 0 | 1 | 0 | 0 |
2,808 | The Memory Function Formalism: A Review | An introduction to the Zwanzig-Mori-Götze-Wölfle memory function
formalism (or generalized Drude formalism) is presented. This formalism is used
extensively in analyzing the experimentally obtained optical conductivity of
strongly correlated systems like cuprates and Iron based superconductors etc.
For a broader pers... | 0 | 1 | 0 | 0 | 0 | 0 |
2,809 | RIPML: A Restricted Isometry Property based Approach to Multilabel Learning | The multilabel learning problem with large number of labels, features, and
data-points has generated a tremendous interest recently. A recurring theme of
these problems is that only a few labels are active in any given datapoint as
compared to the total number of labels. However, only a small number of
existing work ... | 1 | 0 | 0 | 1 | 0 | 0 |
2,810 | Erratum to: Medial axis and singularities | We correct one erroneous statement made in our recent paper "Medial axis and
singularities".
| 0 | 0 | 1 | 0 | 0 | 0 |
2,811 | AP-initiated Multi-User Transmissions in IEEE 802.11ax WLANs | Next-generation 802.11ax WLANs will make extensive use of multi-user
communications in both downlink (DL) and uplink (UL) directions to achieve high
and efficient spectrum utilization in scenarios with many user stations per
access point. It will become possible with the support of multi-user (MU)
multiple input, mul... | 1 | 0 | 0 | 0 | 0 | 0 |
2,812 | What do we know about the geometry of space? | The belief that three dimensional space is infinite and flat in the absence
of matter is a canon of physics that has been in place since the time of
Newton. The assumption that space is flat at infinity has guided several modern
physical theories. But what do we actually know to support this belief? A
simple argument... | 0 | 1 | 0 | 0 | 0 | 0 |
2,813 | Evidence of new twinning modes in magnesium questioning the shear paradigm | Twinning is an important deformation mode of hexagonal close-packed metals.
The crystallographic theory is based on the 150-years old concept of simple
shear. The habit plane of the twin is the shear plane, it is invariant. Here we
present Electron BackScatter Diffraction observations and crystallographic
analysis of... | 0 | 1 | 0 | 0 | 0 | 0 |
2,814 | Probing the Interatomic Potential of Solids by Strong-Field Nonlinear Phononics | Femtosecond optical pulses at mid-infrared frequencies have opened up the
nonlinear control of lattice vibrations in solids. So far, all applications
have relied on second order phonon nonlinearities, which are dominant at field
strengths near 1 MVcm-1. In this regime, nonlinear phononics can transiently
change the a... | 0 | 1 | 0 | 0 | 0 | 0 |
2,815 | Assessment of learning tomography using Mie theory | In Optical diffraction tomography, the multiply scattered field is a
nonlinear function of the refractive index of the object. The Rytov method is a
linear approximation of the forward model, and is commonly used to reconstruct
images. Recently, we introduced a reconstruction method based on the Beam
Propagation Meth... | 0 | 1 | 0 | 0 | 0 | 0 |
2,816 | Single Molecule Studies Under Constant Force Using Model Based Robust Control Design | Optical tweezers have enabled important insights into intracellular transport
through the investigation of motor proteins, with their ability to manipulate
particles at the microscale, affording femto Newton force resolution. Its use
to realize a constant force clamp has enabled vital insights into the behavior
of mo... | 0 | 1 | 1 | 0 | 0 | 0 |
2,817 | Measuring the effects of Loop Quantum Cosmology in the CMB data | In this Essay we investigate the observational signatures of Loop Quantum
Cosmology (LQC) in the CMB data. First, we concentrate on the dynamics of LQC
and we provide the basic cosmological functions. We then obtain the power
spectrum of scalar and tensor perturbations in order to study the performance
of LQC against... | 0 | 1 | 0 | 0 | 0 | 0 |
2,818 | Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization | In many modern machine learning applications, structures of underlying
mathematical models often yield nonconvex optimization problems. Due to the
intractability of nonconvexity, there is a rising need to develop efficient
methods for solving general nonconvex problems with certain performance
guarantee. In this work... | 1 | 0 | 0 | 0 | 0 | 0 |
2,819 | Exploring the Interconnectedness of Cryptocurrencies using Correlation Networks | Correlation networks were used to detect characteristics which, although
fixed over time, have an important influence on the evolution of prices over
time. Potentially important features were identified using the websites and
whitepapers of cryptocurrencies with the largest userbases. These were assessed
using two da... | 0 | 0 | 0 | 0 | 0 | 1 |
2,820 | Affective Neural Response Generation | Existing neural conversational models process natural language primarily on a
lexico-syntactic level, thereby ignoring one of the most crucial components of
human-to-human dialogue: its affective content. We take a step in this
direction by proposing three novel ways to incorporate affective/emotional
aspects into lo... | 1 | 0 | 0 | 0 | 0 | 0 |
2,821 | Energy Efficient Power Allocation in Massive MIMO Systems based on Standard Interference Function | In this paper, energy efficient power allocation for downlink massive MIMO
systems is investigated. A constrained non-convex optimization problem is
formulated to maximize the energy efficiency (EE), which takes into account the
quality of service (QoS) requirements. By exploiting the properties of
fractional program... | 1 | 0 | 0 | 0 | 0 | 0 |
2,822 | Composite fermion basis for M-component Bose gases | The composite fermion (CF) formalism produces wave functions that are not
always linearly independent. This is especially so in the low angular momentum
regime in the lowest Landau level, where a subclass of CF states, known as
simple states, gives a good description of the low energy spectrum. For the
two-component ... | 0 | 1 | 0 | 0 | 0 | 0 |
2,823 | An FPT Algorithm Beating 2-Approximation for $k$-Cut | In the $k$-Cut problem, we are given an edge-weighted graph $G$ and an
integer $k$, and have to remove a set of edges with minimum total weight so
that $G$ has at least $k$ connected components. Prior work on this problem
gives, for all $h \in [2,k]$, a $(2-h/k)$-approximation algorithm for $k$-cut
that runs in time ... | 1 | 0 | 0 | 0 | 0 | 0 |
2,824 | Dynamics beyond dynamic jam; unfolding the Painlevé paradox singularity | This paper analyses in detail the dynamics in a neighbourhood of a
Génot-Brogliato point, colloquially termed the G-spot, which physically
represents so-called dynamic jam in rigid body mechanics with unilateral
contact and Coulomb friction. Such singular points arise in planar rigid body
problems with slipping point... | 0 | 1 | 0 | 0 | 0 | 0 |
2,825 | Existence and regularity of positive solutions of quasilinear elliptic problems with singular semilinear term | This paper deals with existence and regularity of positive solutions of
singular elliptic problems on a smooth bounded domain with Dirichlet boundary
conditions involving the $\Phi$-Laplacian operator. The proof of existence is
based on a variant of the generalized Galerkin method that we developed
inspired on ideas ... | 0 | 0 | 1 | 0 | 0 | 0 |
2,826 | World Literature According to Wikipedia: Introduction to a DBpedia-Based Framework | Among the manifold takes on world literature, it is our goal to contribute to
the discussion from a digital point of view by analyzing the representation of
world literature in Wikipedia with its millions of articles in hundreds of
languages. As a preliminary, we introduce and compare three different
approaches to id... | 1 | 0 | 0 | 0 | 0 | 0 |
2,827 | Robust Task Clustering for Deep Many-Task Learning | We investigate task clustering for deep-learning based multi-task and
few-shot learning in a many-task setting. We propose a new method to measure
task similarities with cross-task transfer performance matrix for the deep
learning scenario. Although this matrix provides us critical information
regarding similarity be... | 1 | 0 | 0 | 1 | 0 | 0 |
2,828 | Detecting Learning vs Memorization in Deep Neural Networks using Shared Structure Validation Sets | The roles played by learning and memorization represent an important topic in
deep learning research. Recent work on this subject has shown that the
optimization behavior of DNNs trained on shuffled labels is qualitatively
different from DNNs trained with real labels. Here, we propose a novel
permutation approach tha... | 0 | 0 | 0 | 1 | 0 | 0 |
2,829 | Bias Correction For Paid Search In Media Mix Modeling | Evaluating the return on ad spend (ROAS), the causal effect of advertising on
sales, is critical to advertisers for understanding the performance of their
existing marketing strategy as well as how to improve and optimize it. Media
Mix Modeling (MMM) has been used as a convenient analytical tool to address the
proble... | 0 | 0 | 0 | 1 | 0 | 0 |
2,830 | Neville's algorithm revisited | Neville's algorithm is known to provide an efficient and numerically stable
solution for polynomial interpolations. In this paper, an extension of this
algorithm is presented which includes the derivatives of the interpolating
polynomial.
| 1 | 0 | 0 | 0 | 0 | 0 |
2,831 | Forecasting and Granger Modelling with Non-linear Dynamical Dependencies | Traditional linear methods for forecasting multivariate time series are not
able to satisfactorily model the non-linear dependencies that may exist in
non-Gaussian series. We build on the theory of learning vector-valued functions
in the reproducing kernel Hilbert space and develop a method for learning
prediction fu... | 1 | 0 | 0 | 1 | 0 | 0 |
2,832 | HDLTex: Hierarchical Deep Learning for Text Classification | The continually increasing number of documents produced each year
necessitates ever improving information processing methods for searching,
retrieving, and organizing text. Central to these information processing
methods is document classification, which has become an important application
for supervised learning. Re... | 1 | 0 | 0 | 0 | 0 | 0 |
2,833 | Multi-task Learning with Gradient Guided Policy Specialization | We present a method for efficient learning of control policies for multiple
related robotic motor skills. Our approach consists of two stages, joint
training and specialization training. During the joint training stage, a neural
network policy is trained with minimal information to disambiguate the motor
skills. This... | 1 | 0 | 0 | 0 | 0 | 0 |
2,834 | Mean square in the prime geodesic theorem | We prove upper bounds for the mean square of the remainder in the prime
geodesic theorem, for every cofinite Fuchsian group, which improve on average
on the best known pointwise bounds. The proof relies on the Selberg trace
formula. For the modular group we prove a refined upper bound by using the
Kuznetsov trace for... | 0 | 0 | 1 | 0 | 0 | 0 |
2,835 | Approximation Fixpoint Theory and the Well-Founded Semantics of Higher-Order Logic Programs | We define a novel, extensional, three-valued semantics for higher-order logic
programs with negation. The new semantics is based on interpreting the types of
the source language as three-valued Fitting-monotonic functions at all levels
of the type hierarchy. We prove that there exists a bijection between such
Fitting... | 1 | 0 | 0 | 0 | 0 | 0 |
2,836 | An Application of Deep Neural Networks in the Analysis of Stellar Spectra | Spectroscopic surveys require fast and efficient analysis methods to maximize
their scientific impact. Here we apply a deep neural network architecture to
analyze both SDSS-III APOGEE DR13 and synthetic stellar spectra. When our
convolutional neural network model (StarNet) is trained on APOGEE spectra, we
show that t... | 0 | 1 | 0 | 0 | 0 | 0 |
2,837 | Analysis of Service-oriented Modeling Approaches for Viewpoint-specific Model-driven Development of Microservice Architecture | Microservice Architecture (MSA) is a novel service-based architectural style
for distributed software systems. Compared to Service-oriented Architecture
(SOA), MSA puts a stronger focus on self-containment of services. Each
microservice is responsible for realizing exactly one business or technological
capability tha... | 1 | 0 | 0 | 0 | 0 | 0 |
2,838 | RoboJam: A Musical Mixture Density Network for Collaborative Touchscreen Interaction | RoboJam is a machine-learning system for generating music that assists users
of a touchscreen music app by performing responses to their short
improvisations. This system uses a recurrent artificial neural network to
generate sequences of touchscreen interactions and absolute timings, rather
than high-level musical n... | 1 | 0 | 0 | 0 | 0 | 0 |
2,839 | Quasi-two-dimensional Fermi surfaces with localized $f$ electrons in the layered heavy-fermion compound CePt$_2$In$_7$ | We report measurements of the de Haas-van Alphen effect in the layered
heavy-fermion compound CePt$_2$In$_7$ in high magnetic fields up to 35 T. Above
an angle-dependent threshold field, we observed several de Haas-van Alphen
frequencies originating from almost ideally two-dimensional Fermi surfaces. The
frequencies ... | 0 | 1 | 0 | 0 | 0 | 0 |
2,840 | Differential Forms, Linked Fields and the $u$-Invariant | We associate an Albert form to any pair of cyclic algebras of prime degree
$p$ over a field $F$ with $\operatorname{char}(F)=p$ which coincides with the
classical Albert form when $p=2$. We prove that if every Albert form is
isotropic then $H^4(F)=0$. As a result, we obtain that if $F$ is a linked field
with $\operat... | 0 | 0 | 1 | 0 | 0 | 0 |
2,841 | A cyclic system with delay and its characteristic equation | A nonlinear cyclic system with delay and the overall negative feedback is
considered. The characteristic equation of the linearized system is studied in
detail. Sufficient conditions for the oscillation of all solutions and for the
existence of monotone solutions are derived in terms of roots of the
characteristic eq... | 0 | 0 | 1 | 0 | 0 | 0 |
2,842 | Object Detection and Motion Planning for Automated Welding of Tubular Joints | Automatic welding of tubular TKY joints is an important and challenging task
for the marine and offshore industry. In this paper, a framework for tubular
joint detection and motion planning is proposed. The pose of the real tubular
joint is detected using RGB-D sensors, which is used to obtain a
real-to-virtual mappi... | 1 | 0 | 0 | 0 | 0 | 0 |
2,843 | Nilpotence order growth of recursion operators in characteristic p | We prove that the killing rate of certain degree-lowering "recursion
operators" on a polynomial algebra over a finite field grows slower than
linearly in the degree of the polynomial attacked. We also explain the
motivating application: obtaining a lower bound for the Krull dimension of a
local component of a big mod... | 0 | 0 | 1 | 0 | 0 | 0 |
2,844 | Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems | Neural models have become ubiquitous in automatic speech recognition systems.
While neural networks are typically used as acoustic models in more complex
systems, recent studies have explored end-to-end speech recognition systems
based on neural networks, which can be trained to directly predict text from
input acous... | 1 | 0 | 0 | 0 | 0 | 0 |
2,845 | Bayesian uncertainty quantification in linear models for diffusion MRI | Diffusion MRI (dMRI) is a valuable tool in the assessment of tissue
microstructure. By fitting a model to the dMRI signal it is possible to derive
various quantitative features. Several of the most popular dMRI signal models
are expansions in an appropriately chosen basis, where the coefficients are
determined using ... | 0 | 1 | 0 | 1 | 0 | 0 |
2,846 | On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks | Empirical risk minimization (ERM) is ubiquitous in machine learning and
underlies most supervised learning methods. While there has been a large body
of work on algorithms for various ERM problems, the exact computational
complexity of ERM is still not understood. We address this issue for multiple
popular ERM proble... | 1 | 0 | 0 | 1 | 0 | 0 |
2,847 | Deep Learning for Predicting Asset Returns | Deep learning searches for nonlinear factors for predicting asset returns.
Predictability is achieved via multiple layers of composite factors as opposed
to additive ones. Viewed in this way, asset pricing studies can be revisited
using multi-layer deep learners, such as rectified linear units (ReLU) or
long-short-te... | 0 | 0 | 0 | 1 | 0 | 0 |
2,848 | Analysis of Distributed ADMM Algorithm for Consensus Optimization in Presence of Error | ADMM is a popular algorithm for solving convex optimization problems.
Applying this algorithm to distributed consensus optimization problem results
in a fully distributed iterative solution which relies on processing at the
nodes and communication between neighbors. Local computations usually suffer
from different ty... | 1 | 0 | 1 | 0 | 0 | 0 |
2,849 | Jet determination of smooth CR automorphisms and generalized stationary discs | We prove finite jet determination for (finitely) smooth CR diffeomorphisms of
(finitely) smooth Levi degenerate hypersurfaces in $\mathbb{C}^{n+1}$ by
constructing generalized stationary discs glued to such hypersurfaces.
| 0 | 0 | 1 | 0 | 0 | 0 |
2,850 | A Well-Tempered Landscape for Non-convex Robust Subspace Recovery | We present a mathematical analysis of a non-convex energy landscape for
robust subspace recovery. We prove that an underlying subspace is the only
stationary point and local minimizer in a specified neighborhood under
deterministic conditions on a dataset. If the deterministic condition is
satisfied, we further show ... | 1 | 0 | 1 | 1 | 0 | 0 |
2,851 | Biologically inspired protection of deep networks from adversarial attacks | Inspired by biophysical principles underlying nonlinear dendritic computation
in neural circuits, we develop a scheme to train deep neural networks to make
them robust to adversarial attacks. Our scheme generates highly nonlinear,
saturated neural networks that achieve state of the art performance on gradient
based a... | 1 | 0 | 0 | 1 | 0 | 0 |
2,852 | Intrinsic entropies of log-concave distributions | The entropy of a random variable is well-known to equal the exponential
growth rate of the volumes of its typical sets. In this paper, we show that for
any log-concave random variable $X$, the sequence of the $\lfloor n\theta
\rfloor^{\text{th}}$ intrinsic volumes of the typical sets of $X$ in dimensions
$n \geq 1$ g... | 1 | 0 | 0 | 0 | 0 | 0 |
2,853 | Iteratively Linearized Reweighted Alternating Direction Method of Multipliers for a Class of Nonconvex Problems | In this paper, we consider solving a class of nonconvex and nonsmooth
problems frequently appearing in signal processing and machine learning
research. The traditional alternating direction method of multipliers
encounters troubles in both mathematics and computations in solving the
nonconvex and nonsmooth subproblem... | 1 | 0 | 0 | 1 | 0 | 0 |
2,854 | Acoustic Features Fusion using Attentive Multi-channel Deep Architecture | In this paper, we present a novel deep fusion architecture for audio
classification tasks. The multi-channel model presented is formed using deep
convolution layers where different acoustic features are passed through each
channel. To enable dissemination of information across the channels, we
introduce attention fea... | 1 | 0 | 0 | 0 | 0 | 0 |
2,855 | An EM Based Probabilistic Two-Dimensional CCA with Application to Face Recognition | Recently, two-dimensional canonical correlation analysis (2DCCA) has been
successfully applied for image feature extraction. The method instead of
concatenating the columns of the images to the one-dimensional vectors,
directly works with two-dimensional image matrices. Although 2DCCA works well
in different recognit... | 1 | 0 | 0 | 1 | 0 | 0 |
2,856 | Understanding Group Event Scheduling via the OutWithFriendz Mobile Application | The wide adoption of smartphones and mobile applications has brought
significant changes to not only how individuals behave in the real world, but
also how groups of users interact with each other when organizing group events.
Understanding how users make event decisions as a group and identifying the
contributing fa... | 1 | 0 | 0 | 0 | 0 | 0 |
2,857 | Energy Level Alignment at Hybridized Organic-metal Interfaces: the Role of Many-electron Effects | Hybridized molecule/metal interfaces are ubiquitous in molecular and organic
devices. The energy level alignment (ELA) of frontier molecular levels relative
to the metal Fermi level (EF) is critical to the conductance and functionality
of these devices. However, a clear understanding of the ELA that includes
many-ele... | 0 | 1 | 0 | 0 | 0 | 0 |
2,858 | Radio detection of Extensive Air Showers (ECRS 2016) | Detection of the mostly geomagnetically generated radio emission of
cosmic-ray air showers provides an alternative to air-Cherenkov and
air-fluorescence detection, since it is not limited to clear nights. Like these
established methods, the radio signal is sensitive to the calorimetric energy
and the position of the ... | 0 | 1 | 0 | 0 | 0 | 0 |
2,859 | Bandit Regret Scaling with the Effective Loss Range | We study how the regret guarantees of nonstochastic multi-armed bandits can
be improved, if the effective range of the losses in each round is small (e.g.
the maximal difference between two losses in a given round). Despite a recent
impossibility result, we show how this can be made possible under certain mild
additi... | 1 | 0 | 0 | 1 | 0 | 0 |
2,860 | Changing Fashion Cultures | The paper presents a novel concept that analyzes and visualizes worldwide
fashion trends. Our goal is to reveal cutting-edge fashion trends without
displaying an ordinary fashion style. To achieve the fashion-based analysis, we
created a new fashion culture database (FCDB), which consists of 76 million
geo-tagged ima... | 1 | 0 | 0 | 0 | 0 | 0 |
2,861 | A strong failure of aleph_0-stability for atomic classes | We study classes of atomic models At_T of a countable, complete first-order
theory T . We prove that if At_T is not pcl-small, i.e., there is an atomic
model N that realizes uncountably many types over pcl(a) for some finite tuple
a from N, then there are 2^aleph1 non-isomorphic atomic models of T, each of
size aleph... | 0 | 0 | 1 | 0 | 0 | 0 |
2,862 | Sub-Gaussian estimators of the mean of a random vector | We study the problem of estimating the mean of a random vector $X$ given a
sample of $N$ independent, identically distributed points. We introduce a new
estimator that achieves a purely sub-Gaussian performance under the only
condition that the second moment of $X$ exists. The estimator is based on a
novel concept of... | 0 | 0 | 1 | 1 | 0 | 0 |
2,863 | Resource Allocation for Containing Epidemics from Temporal Network Data | We study the problem of containing epidemic spreading processes in temporal
networks. We specifically focus on the problem of finding a resource allocation
to suppress epidemic infection, provided that an empirical time-series data of
connectivities between nodes is available. Although this problem is of
practical re... | 1 | 0 | 0 | 0 | 0 | 0 |
2,864 | Towards Plan Transformations for Real-World Pick and Place Tasks | In this paper, we investigate the possibility of applying plan
transformations to general manipulation plans in order to specialize them to
the specific situation at hand. We present a framework for optimizing execution
and achieving higher performance by autonomously transforming robot's behavior
at runtime. We show... | 1 | 0 | 0 | 0 | 0 | 0 |
2,865 | Learning for New Visual Environments with Limited Labels | In computer vision applications, such as domain adaptation (DA), few shot
learning (FSL) and zero-shot learning (ZSL), we encounter new objects and
environments, for which insufficient examples exist to allow for training
"models from scratch," and methods that adapt existing models, trained on the
presented training... | 1 | 0 | 0 | 0 | 0 | 0 |
2,866 | A Survey of Bandwidth and Latency Enhancement Approaches for Mobile Cloud Game Multicasting | Among mobile cloud applications, mobile cloud gaming has gained a significant
popularity in the recent years. In mobile cloud games, textures, game objects,
and game events are typically streamed from a server to the mobile client.
One of the challenges in cloud mobile gaming is how to efficiently multicast
gaming co... | 1 | 0 | 0 | 0 | 0 | 0 |
2,867 | Modulation of High-Energy Particles and the Heliospheric Current Sheet Tilts throughout 1976-2014 | Cosmic ray intensities (CRIs) recorded by sixteen neutron monitors have been
used to study its dependence on the tilt angles (TA) of the heliospheric
current sheet (HCS) during period 1976-2014, which covers three solar activity
cycles 21, 22 and 23. The median primary rigidity covers the range 16-33 GV.
Our results ... | 0 | 1 | 0 | 0 | 0 | 0 |
2,868 | Detecting the impact of public transit on the transmission of epidemics | In many developing countries, public transit plays an important role in daily
life. However, few existing methods have considered the influence of public
transit in their models. In this work, we present a dual-perspective view of
the epidemic spreading process of the individual that involves both
contamination in pl... | 1 | 0 | 0 | 0 | 0 | 0 |
2,869 | The Hamiltonian Dynamics of Magnetic Confinement in Toroidal Domains | We consider a class of magnetic fields defined over the interior of a
manifold $M$ which go to infinity at its boundary and whose direction near the
boundary of $M$ is controlled by a closed 1-form $\sigma_\infty \in
\Gamma(T^*\partial M)$. We are able to show that charged particles in the
interior of $M$ under the i... | 0 | 0 | 1 | 0 | 0 | 0 |
2,870 | Airway segmentation from 3D chest CT volumes based on volume of interest using gradient vector flow | Some lung diseases are related to bronchial airway structures and morphology.
Although airway segmentation from chest CT volumes is an important task in the
computer-aided diagnosis and surgery assistance systems for the chest, complete
3-D airway structure segmentation is a quite challenging task due to its
complex ... | 1 | 0 | 0 | 0 | 0 | 0 |
2,871 | Multi-robot motion-formation distributed control with sensor self-calibration: experimental validation | In this paper, we present the design and implementation of a robust motion
formation distributed control algorithm for a team of mobile robots. The
primary task for the team is to form a geometric shape, which can be freely
translated and rotated at the same time. This approach makes the robots to
behave as a cohesiv... | 1 | 0 | 0 | 0 | 0 | 0 |
2,872 | On the Impossibility of Supersized Machines | In recent years, a number of prominent computer scientists, along with
academics in fields such as philosophy and physics, have lent credence to the
notion that machines may one day become as large as humans. Many have further
argued that machines could even come to exceed human size by a significant
margin. However,... | 1 | 1 | 0 | 0 | 0 | 0 |
2,873 | Non-geodesic variations of Hodge structure of maximum dimension | There are a number of examples of variations of Hodge structure of maximum
dimension. However, to our knowledge, those that are global on the level of the
period domain are totally geodesic subspaces that arise from an orbit of a
subgroup of the group of the period domain. That is, they are defined by Lie
theory rath... | 0 | 0 | 1 | 0 | 0 | 0 |
2,874 | Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective | Recent results in coupled or temporal graphical models offer schemes for
estimating the relationship structure between features when the data come from
related (but distinct) longitudinal sources. A novel application of these ideas
is for analyzing group-level differences, i.e., in identifying if trends of
estimated ... | 1 | 0 | 0 | 1 | 0 | 0 |
2,875 | A Distributed Algorithm for Computing a Common Fixed Point of a Finite Family of Paracontractions | A distributed algorithm is described for finding a common fixed point of a
family of m>1 nonlinear maps M_i : R^n -> R^n assuming that each map is a
paracontraction and that at least one such common fixed point exists. The
common fixed point is simultaneously computed by m agents assuming each agent i
knows only M_i,... | 1 | 0 | 1 | 0 | 0 | 0 |
2,876 | The maximum of the 1-measurement of a metric measure space | For a metric measure space, we treat the set of distributions of 1-Lipschitz
functions, which is called the 1-measurement. On the 1-measurement, we have a
partial order relation by the Lipschitz order introduced by Gromov. The aim of
this paper is to study the maximum and maximal elements of the 1-measurement
with re... | 0 | 0 | 1 | 0 | 0 | 0 |
2,877 | Limits to Arbitrage in Markets with Stochastic Settlement Latency | Distributed ledger technologies rely on consensus protocols confronting
traders with random waiting times until the transfer of ownership is
accomplished. This time-consuming settlement process exposes arbitrageurs to
price risk and imposes limits to arbitrage. We derive theoretical arbitrage
boundaries under general... | 0 | 0 | 0 | 0 | 0 | 1 |
2,878 | Normalized Information Distance and the Oscillation Hierarchy | We study the complexity of approximations to the normalized information
distance. We introduce a hierarchy of computable approximations by considering
the number of oscillations. This is a function version of the difference
hierarchy for sets. We show that the normalized information distance is not in
any level of th... | 1 | 0 | 1 | 0 | 0 | 0 |
2,879 | Exponential Moving Average Model in Parallel Speech Recognition Training | As training data rapid growth, large-scale parallel training with multi-GPUs
cluster is widely applied in the neural network model learning currently.We
present a new approach that applies exponential moving average method in
large-scale parallel training of neural network model. It is a non-interference
strategy tha... | 1 | 0 | 0 | 0 | 0 | 0 |
2,880 | Is One Hyperparameter Optimizer Enough? | Hyperparameter tuning is the black art of automatically finding a good
combination of control parameters for a data miner. While widely applied in
empirical Software Engineering, there has not been much discussion on which
hyperparameter tuner is best for software analytics. To address this gap in the
literature, thi... | 1 | 0 | 0 | 0 | 0 | 0 |
2,881 | Deep Generalized Canonical Correlation Analysis | We present Deep Generalized Canonical Correlation Analysis (DGCCA) -- a
method for learning nonlinear transformations of arbitrarily many views of
data, such that the resulting transformations are maximally informative of each
other. While methods for nonlinear two-view representation learning (Deep CCA,
(Andrew et a... | 1 | 0 | 0 | 1 | 0 | 0 |
2,882 | Faithfulness of Probability Distributions and Graphs | A main question in graphical models and causal inference is whether, given a
probability distribution $P$ (which is usually an underlying distribution of
data), there is a graph (or graphs) to which $P$ is faithful. The main goal of
this paper is to provide a theoretical answer to this problem. We work with
general i... | 0 | 0 | 1 | 1 | 0 | 0 |
2,883 | On the multipliers of repelling periodic points of entire functions | We give a lower bound for the multipliers of repelling periodic points of
entire functions. The bound is deduced from a bound for the multipliers of
fixed points of composite entire functions.
| 0 | 0 | 1 | 0 | 0 | 0 |
2,884 | The BCS critical temperature in a weak homogeneous magnetic field | We show that, within a linear approximation of BCS theory, a weak homogeneous
magnetic field lowers the critical temperature by an explicit constant times
the field strength, up to higher order terms. This provides a rigorous
derivation and generalization of results obtained in the physics literature
from WHH theory ... | 0 | 1 | 1 | 0 | 0 | 0 |
2,885 | 25 Tweets to Know You: A New Model to Predict Personality with Social Media | Predicting personality is essential for social applications supporting
human-centered activities, yet prior modeling methods with users written text
require too much input data to be realistically used in the context of social
media. In this work, we aim to drastically reduce the data requirement for
personality mode... | 1 | 0 | 0 | 0 | 0 | 0 |
2,886 | Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture | We propose a novel couple mappings method for low resolution face recognition
using deep convolutional neural networks (DCNNs). The proposed architecture
consists of two branches of DCNNs to map the high and low resolution face
images into a common space with nonlinear transformations. The branch
corresponding to tra... | 1 | 0 | 0 | 0 | 0 | 0 |
2,887 | A Comparative Study of Full-Duplex Relaying Schemes for Low Latency Applications | Various sectors are likely to carry a set of emerging applications while
targeting a reliable communication with low latency transmission. To address
this issue, upon a spectrally-efficient transmission, this paper investigates
the performance of a one full-dulpex (FD) relay system, and considers for that
purpose, tw... | 1 | 0 | 0 | 0 | 0 | 0 |
2,888 | Some algebraic invariants of edge ideal of circulant graphs | Let $G$ be the circulant graph $C_n(S)$ with $S\subseteq\{ 1,\ldots,\left
\lfloor\frac{n}{2}\right \rfloor\}$ and let $I(G)$ be its edge ideal in the
ring $K[x_0,\ldots,x_{n-1}]$. Under the hypothesis that $n$ is prime we : 1)
compute the regularity index of $R/I(G)$; 2) compute the Castelnuovo-Mumford
regularity whe... | 0 | 0 | 1 | 0 | 0 | 0 |
2,889 | Efficient Pricing of Barrier Options on High Volatility Assets using Subset Simulation | Barrier options are one of the most widely traded exotic options on stock
exchanges. In this paper, we develop a new stochastic simulation method for
pricing barrier options and estimating the corresponding execution
probabilities. We show that the proposed method always outperforms the standard
Monte Carlo approach ... | 0 | 0 | 0 | 1 | 0 | 1 |
2,890 | Massively parallel multicanonical simulations | Generalized-ensemble Monte Carlo simulations such as the multicanonical
method and similar techniques are among the most efficient approaches for
simulations of systems undergoing discontinuous phase transitions or with
rugged free- energy landscapes. As Markov chain methods, they are inherently
serial computationall... | 0 | 1 | 0 | 0 | 0 | 0 |
2,891 | Gaia and VLT astrometry of faint stars: Precision of Gaia DR1 positions and updated VLT parallaxes of ultracool dwarfs | We compared positions of the Gaia first data release (DR1) secondary data set
at its faint limit with CCD positions of stars in 20 fields observed with the
VLT/FORS2 camera. The FORS2 position uncertainties are smaller than one
milli-arcsecond (mas) and allowed us to perform an independent verification of
the DR1 ast... | 0 | 1 | 0 | 0 | 0 | 0 |
2,892 | Parallel transport in shape analysis: a scalable numerical scheme | The analysis of manifold-valued data requires efficient tools from Riemannian
geometry to cope with the computational complexity at stake. This complexity
arises from the always-increasing dimension of the data, and the absence of
closed-form expressions to basic operations such as the Riemannian logarithm.
In this p... | 0 | 0 | 1 | 1 | 0 | 0 |
2,893 | Spectral Projector-Based Graph Fourier Transforms | The paper presents the graph Fourier transform (GFT) of a signal in terms of
its spectral decomposition over the Jordan subspaces of the graph adjacency
matrix $A$. This representation is unique and coordinate free, and it leads to
unambiguous definition of the spectral components ("harmonics") of a graph
signal. Thi... | 1 | 0 | 0 | 0 | 0 | 0 |
2,894 | Quantum Mechanical Approach to Modelling Reliability of Sensor Reports | Dempster-Shafer evidence theory is wildly applied in multi-sensor data
fusion. However, lots of uncertainty and interference exist in practical
situation, especially in the battle field. It is still an open issue to model
the reliability of sensor reports. Many methods are proposed based on the
relationship among col... | 1 | 0 | 0 | 0 | 0 | 0 |
2,895 | Midgar: Detection of people through computer vision in the Internet of Things scenarios to improve the security in Smart Cities, Smart Towns, and Smart Homes | Could we use Computer Vision in the Internet of Things for using pictures as
sensors? This is the principal hypothesis that we want to resolve. Currently,
in order to create safety areas, cities, or homes, people use IP cameras.
Nevertheless, this system needs people who watch the camera images, watch the
recording a... | 1 | 0 | 0 | 0 | 0 | 0 |
2,896 | Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals | Interpretability of deep neural networks is a recently emerging area of
machine learning research targeting a better understanding of how models
perform feature selection and derive their classification decisions. In this
paper, two neural network architectures are trained on spectrogram and raw
waveform data for aud... | 1 | 0 | 0 | 0 | 0 | 0 |
2,897 | On the Performance of a Canonical Labeling for Matching Correlated Erdős-Rényi Graphs | Graph matching in two correlated random graphs refers to the task of
identifying the correspondence between vertex sets of the graphs. Recent
results have characterized the exact information-theoretic threshold for graph
matching in correlated Erdős-Rényi graphs. However, very little is known
about the existence of e... | 0 | 0 | 0 | 1 | 0 | 0 |
2,898 | On semi-supervised learning | Semi-supervised learning deals with the problem of how, if possible, to take
advantage of a huge amount of unclassified data, to perform a classification in
situations when, typically, there is little labeled data. Even though this is
not always possible (it depends on how useful, for inferring the labels, it
would b... | 0 | 0 | 0 | 1 | 0 | 0 |
2,899 | Fourier dimension and spectral gaps for hyperbolic surfaces | We obtain an essential spectral gap for a convex co-compact hyperbolic
surface $M=\Gamma\backslash\mathbb H^2$ which depends only on the dimension
$\delta$ of the limit set. More precisely, we show that when $\delta>0$ there
exists $\varepsilon_0=\varepsilon_0(\delta)>0$ such that the Selberg zeta
function has only f... | 0 | 0 | 1 | 0 | 0 | 0 |
2,900 | Semantic Evolutionary Concept Distances for Effective Information Retrieval in Query Expansion | In this work several semantic approaches to concept-based query expansion and
reranking schemes are studied and compared with different ontology-based
expansion methods in web document search and retrieval. In particular, we focus
on concept-based query expansion schemes, where, in order to effectively
increase the p... | 1 | 0 | 1 | 0 | 0 | 0 |
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