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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Atomic and electronic structures of stable linear carbon chains on Ag-nanoparticles | In this work, we report X-ray photoelectron (XPS) and valence band (VB)
spectroscopy measurements of surfactant-free silver nanoparticles and
silver/linear carbon chains (Ag@LCC) structures prepared by pulse laser
ablation (PLA) in water. Our measurements demonstrate significant oxidation
only on the surfaces of the ... | 0 | 1 | 0 | 0 | 0 | 0 |
The unsaturated flow in porous media with dynamic capillary pressure | In this paper we consider a degenerate pseudoparabolic equation for the
wetting saturation of an unsaturated two-phase flow in porous media with
dynamic capillary pressure-saturation relationship where the relaxation
parameter depends on the saturation. Following the approach given in [12] the
existence of a weak sol... | 0 | 0 | 1 | 0 | 0 | 0 |
Dissociation of one-dimensional matter-wave breathers due to quantum many-body effects | We use the ab initio Bethe Ansatz dynamics to predict the dissociation of
one-dimensional cold-atom breathers that are created by a quench from a
fundamental soliton. We find that the dissociation is a robust quantum
many-body effect, while in the mean-field (MF) limit the dissociation is
forbidden by the integrabili... | 0 | 1 | 0 | 0 | 0 | 0 |
Human Eye Visual Hyperacuity: A New Paradigm for Sensing? | The human eye appears to be using a low number of sensors for image
capturing. Furthermore, regarding the physical dimensions of
cones-photoreceptors responsible for the sharp central vision-, we may realize
that these sensors are of a relatively small size and area. Nonetheless, the
eye is capable to obtain high res... | 1 | 0 | 0 | 0 | 0 | 0 |
Structured Matrix Estimation and Completion | We study the problem of matrix estimation and matrix completion under a
general framework. This framework includes several important models as special
cases such as the gaussian mixture model, mixed membership model, bi-clustering
model and dictionary learning. We consider the optimal convergence rates in a
minimax s... | 0 | 0 | 1 | 1 | 0 | 0 |
Performance evaluation of PSD for silicon ECAL | We are developing position sensitive silicon detectors (PSD) which have an
electrode at each of four corners so that the incident position of a charged
particle can be obtained using signals from the electrodes. It is expected that
the position resolution the electromagnetic calorimeter (ECAL) of the ILD
detector wil... | 0 | 1 | 0 | 0 | 0 | 0 |
Online Improper Learning with an Approximation Oracle | We revisit the question of reducing online learning to approximate
optimization of the offline problem. In this setting, we give two algorithms
with near-optimal performance in the full information setting: they guarantee
optimal regret and require only poly-logarithmically many calls to the
approximation oracle per ... | 0 | 0 | 0 | 1 | 0 | 0 |
TC^0 circuits for algorithmic problems in nilpotent groups | Recently, Macdonald et. al. showed that many algorithmic problems for
finitely generated nilpotent groups including computation of normal forms, the
subgroup membership problem, the conjugacy problem, and computation of subgroup
presentations can be done in Logspace. Here we follow their approach and show
that all th... | 1 | 0 | 1 | 0 | 0 | 0 |
Alperin-McKay natural correspondences in solvable and symmetric groups for the prime $p=2$ | Let $G$ be a finite solvable or symmetric group and let $B$ be a $2$-block of
$G$. We construct a canonical correspondence between the irreducible characters
of height zero in $B$ and those in its Brauer first main correspondent. For
symmetric groups our bijection is compatible with restriction of characters.
| 0 | 0 | 1 | 0 | 0 | 0 |
Reversible temperature exchange upon thermal contact | According to a well-known principle of thermodynamics, the transfer of heat
between two bodies is reversible when their temperatures are infinitesimally
close. As we demonstrate, a little-known alternative exists: two bodies with
temperatures different by an arbitrary amount can completely exchange their
temperatures... | 0 | 1 | 0 | 0 | 0 | 0 |
On consequences of measurements of turbulent Lewis number from observations | Almost all parameterizations of turbulence in NWP models and GCM make the
assumption of equality of exchange coefficients for heat $K_h$ and water $K_w$.
However, large uncertainties exists in old papers published in the 1950s, 1960s
and 1970s, where the turbulent Lewis number Le_t $= K_h / K_w$ have been
evaluated f... | 0 | 1 | 0 | 0 | 0 | 0 |
Complex Networks Analysis for Software Architecture: an Hibernate Call Graph Study | Recent advancements in complex network analysis are encouraging and may
provide useful insights when applied in software engineering domain, revealing
properties and structures that cannot be captured by traditional metrics. In
this paper, we analyzed the topological properties of Hibernate library, a
well-known Java... | 1 | 0 | 0 | 0 | 0 | 0 |
The Impact of Local Geometry and Batch Size on Stochastic Gradient Descent for Nonconvex Problems | In several experimental reports on nonconvex optimization problems in machine
learning, stochastic gradient descent (SGD) was observed to prefer minimizers
with flat basins in comparison to more deterministic methods, yet there is very
little rigorous understanding of this phenomenon. In fact, the lack of such
work h... | 0 | 0 | 0 | 1 | 0 | 0 |
Cosmology and the Origin of the Universe: Historical and Conceptual Perspectives | From a modern perspective cosmology is a historical science in so far that it
deals with the development of the universe since its origin some 14 billion
years ago. The origin itself may not be subject to scientific analysis and
explanation. Nonetheless, there are theories that claim to explain the ultimate
origin or... | 0 | 1 | 0 | 0 | 0 | 0 |
Semisimple and separable algebras in multi-fusion categories | We give a classification of semisimple and separable algebras in a
multi-fusion category over an arbitrary field in analogy to Wedderben-Artin
theorem in classical algebras. It turns out that, if the multi-fusion category
admits a semisimple Drinfeld center, the only obstruction to the separability
of a semisimple al... | 0 | 0 | 1 | 0 | 0 | 0 |
Ensemble dependence of fluctuations and the canonical/micro-canonical equivalence of ensembles | We study the equivalence of microcanonical and canonical ensembles in
continuous systems, in the sense of the convergence of the corresponding Gibbs
measures. This is obtained by proving a local central limit theorem and a local
large deviations principle. As an application we prove a formula due to
Lebowitz-Percus-V... | 0 | 1 | 1 | 0 | 0 | 0 |
Algorithms for Positive Semidefinite Factorization | This paper considers the problem of positive semidefinite factorization (PSD
factorization), a generalization of exact nonnegative matrix factorization.
Given an $m$-by-$n$ nonnegative matrix $X$ and an integer $k$, the PSD
factorization problem consists in finding, if possible, symmetric $k$-by-$k$
positive semidefi... | 1 | 0 | 1 | 0 | 0 | 0 |
Remarks about Synthetic Upper Ricci Bounds for Metric Measure Spaces | We discuss various characterizations of synthetic upper Ricci bounds for
metric measure spaces in terms of heat flow, entropy and optimal transport. In
particular, we present a characterization in terms of semiconcavity of the
entropy along certain Wasserstein geodesics which is stable under convergence
of mm-spaces.... | 0 | 0 | 1 | 0 | 0 | 0 |
Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification | Given a pedestrian image as a query, the purpose of person re-identification
is to identify the correct match from a large collection of gallery images
depicting the same person captured by disjoint camera views. The critical
challenge is how to construct a robust yet discriminative feature
representation to capture ... | 1 | 0 | 0 | 0 | 0 | 0 |
Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses | Recently, methods have been proposed that perform texture synthesis and style
transfer by using convolutional neural networks (e.g. Gatys et al.
[2015,2016]). These methods are exciting because they can in some cases create
results with state-of-the-art quality. However, in this paper, we show these
methods also have... | 1 | 0 | 0 | 0 | 0 | 0 |
Dynamical and Topological Aspects of Consensus Formation in Complex Networks | The present work analyses a particular scenario of consensus formation, where
the individuals navigate across an underlying network defining the topology of
the walks. The consensus, associated to a given opinion coded as a simple
messages, is generated by interactions during the agent's walk and manifest
itself in t... | 1 | 1 | 0 | 0 | 0 | 0 |
Measurement of authorship by publications: a normative approach | Administrators in all academic organizations across the world have to deal
with the unenviable task of comparing researchers on the basis of their
academic contributions. This job is further complicated by the need for
comparing single author publication with joint author publications.
Unfortunately, however, there i... | 1 | 1 | 0 | 0 | 0 | 0 |
Ordering Garside groups | We introduce a condition on Garside groups that we call Dehornoy structure.
An iteration of such a structure leads to a left order on the group. We show
conditions for a Garside group to admit a Dehornoy structure, and we apply
these criteria to prove that the Artin groups of type A and I 2 (m), m $\ge$ 4,
have Dehor... | 0 | 0 | 1 | 0 | 0 | 0 |
Self-Taught Support Vector Machine | In this paper, a new approach for classification of target task using limited
labeled target data as well as enormous unlabeled source data is proposed which
is called self-taught learning. The target and source data can be drawn from
different distributions. In the previous approaches, covariate shift assumption
is ... | 1 | 0 | 0 | 1 | 0 | 0 |
Continuum of classical-field ensembles from canonical to grand canonical and the onset of their equivalence | The canonical and grand-canonical ensembles are two usual marginal cases for
ultracold Bose gases, but real collections of experimental runs commonly have
intermediate properties. Here we study the continuum of intermediate cases, and
look into the appearance of ensemble equivalence as interaction rises for
mesoscopi... | 0 | 1 | 0 | 0 | 0 | 0 |
Extending Partial Representations of Unit Circular-arc Graphs | The partial representation extension problem, introduced by Klavík et al.
(2011), generalizes the recognition problem. In this short note we show that
this problem is NP-complete for unit circular-arc graphs.
| 1 | 0 | 0 | 0 | 0 | 0 |
Lipschitz continuity of quasiconformal mappings and of the solutions to second order elliptic PDE with respect to the distance ratio metric | The main aim of this paper is to study the Lipschitz continuity of certain
$(K, K')$-quasiconformal mappings with respect to the distance ratio metric,
and the Lipschitz continuity of the solution of a quasilinear differential
equation with respect to the distance ratio metric.
| 0 | 0 | 1 | 0 | 0 | 0 |
On Estimation of Conditional Modes Using Multiple Quantile Regressions | We propose an estimation method for the conditional mode when the
conditioning variable is high-dimensional. In the proposed method, we first
estimate the conditional density by solving quantile regressions multiple
times. We then estimate the conditional mode by finding the maximum of the
estimated conditional densi... | 0 | 0 | 1 | 1 | 0 | 0 |
Kondo destruction in a quantum paramagnet with magnetic frustration | We report results of isothermal magnetotransport and susceptibility
measurements at elevated magnetic fields B down to very low temperatures T on
high-quality single crystals of the frustrated Kondo-lattice system CePdAl.
They reveal a B*(T) line within the paramagnetic part of the phase diagram.
This line denotes a ... | 0 | 1 | 0 | 0 | 0 | 0 |
Deep supervised learning using local errors | Error backpropagation is a highly effective mechanism for learning
high-quality hierarchical features in deep networks. Updating the features or
weights in one layer, however, requires waiting for the propagation of error
signals from higher layers. Learning using delayed and non-local errors makes
it hard to reconci... | 1 | 0 | 0 | 1 | 0 | 0 |
Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection | The mean field variational Bayes method is becoming increasingly popular in
statistics and machine learning. Its iterative Coordinate Ascent Variational
Inference algorithm has been widely applied to large scale Bayesian inference.
See Blei et al. (2017) for a recent comprehensive review. Despite the
popularity of th... | 0 | 0 | 1 | 1 | 0 | 0 |
The Chandra Deep Field South as a test case for Global Multi Conjugate Adaptive Optics | The era of the next generation of giant telescopes requires not only the
advent of new technologies but also the development of novel methods, in order
to exploit fully the extraordinary potential they are built for. Global Multi
Conjugate Adaptive Optics (GMCAO) pursues this approach, with the goal of
achieving good... | 0 | 1 | 0 | 0 | 0 | 0 |
Probabilistic Causal Analysis of Social Influence | Mastering the dynamics of social influence requires separating, in a database
of information propagation traces, the genuine causal processes from temporal
correlation, i.e., homophily and other spurious causes. However, most studies
to characterize social influence, and, in general, most data-science analyses
focus ... | 1 | 0 | 0 | 1 | 0 | 0 |
Advanced reduced-order models for moisture diffusion in porous media | It is of great concern to produce numerically efficient methods for moisture
diffusion through porous media, capable of accurately calculate moisture
distribution with a reduced computational effort. In this way, model reduction
methods are promising approaches to bring a solution to this issue since they
do not degr... | 1 | 1 | 1 | 0 | 0 | 0 |
Gapless quantum spin chains: multiple dynamics and conformal wavefunctions | We study gapless quantum spin chains with spin 1/2 and 1: the Fredkin and
Motzkin models. Their entangled groundstates are known exactly but not their
excitation spectra. We first express the groundstates in the continuum which
allows for the calculation of spin and entanglement properties in a unified
fashion. Doing... | 0 | 1 | 0 | 0 | 0 | 0 |
Real-time public transport service-level monitoring using passive WiFi: a spectral clustering approach for train timetable estimation | A new area in which passive WiFi analytics have promise for delivering value
is the real-time monitoring of public transport systems. One example is
determining the true (as opposed to the published) timetable of a public
transport system in real-time. In most cases, there are no other
publicly-available sources for ... | 1 | 0 | 0 | 0 | 0 | 0 |
Finding Network Motifs in Large Graphs using Compression as a Measure of Relevance | We introduce a new method for finding network motifs: interesting or
informative subgraph patterns in a network. Current methods for finding motifs
rely on the frequency of the motif: specifically, subgraphs are motifs when
their frequency in the data is high compared to the expected frequency under a
null model. To ... | 1 | 0 | 0 | 0 | 0 | 0 |
A Bag-of-Words Equivalent Recurrent Neural Network for Action Recognition | The traditional bag-of-words approach has found a wide range of applications
in computer vision. The standard pipeline consists of a generation of a visual
vocabulary, a quantization of the features into histograms of visual words, and
a classification step for which usually a support vector machine in combination
wi... | 1 | 0 | 0 | 0 | 0 | 0 |
Limit on graviton mass from galaxy cluster Abell 1689 | To date, the only limit on graviton mass using galaxy clusters was obtained
by Goldhaber and Nieto in 1974, using the fact that the orbits of galaxy
clusters are bound and closed, and extend up to 580 kpc. From positing that
only a Newtonian potential gives rise to such stable bound orbits, a limit on
the graviton ma... | 0 | 1 | 0 | 0 | 0 | 0 |
Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks | Artificial neural networks (ANNs) may not be worth their computational/memory
costs when used in mobile phones or embedded devices. Parameter-pruning
algorithms combat these costs, with some algorithms capable of removing over
90% of an ANN's weights without harming the ANN's performance. Removing weights
from an ANN... | 0 | 0 | 0 | 1 | 0 | 0 |
The Augustin Center and The Sphere Packing Bound For Memoryless Channels | For any channel with a convex constraint set and finite Augustin capacity,
existence of a unique Augustin center and associated Erven-Harremoes bound are
established. Augustin-Legendre capacity, center, and radius are introduced and
proved to be equal to the corresponding Renyi-Gallager entities. Sphere packing
bound... | 1 | 0 | 0 | 0 | 0 | 0 |
SuperMinHash - A New Minwise Hashing Algorithm for Jaccard Similarity Estimation | This paper presents a new algorithm for calculating hash signatures of sets
which can be directly used for Jaccard similarity estimation. The new approach
is an improvement over the MinHash algorithm, because it has a better runtime
behavior and the resulting signatures allow a more precise estimation of the
Jaccard ... | 1 | 0 | 0 | 0 | 0 | 0 |
On catastrophic forgetting and mode collapse in Generative Adversarial Networks | Generative Adversarial Networks (GAN) are one of the most prominent tools for
learning complicated distributions. However, problems such as mode collapse and
catastrophic forgetting, prevent GAN from learning the target distribution.
These problems are usually studied independently from each other. In this
paper, we ... | 0 | 0 | 0 | 1 | 0 | 0 |
Metamodel Construction for Sensitivity Analysis | We propose to estimate a metamodel and the sensitivity indices of a complex
model m in the Gaussian regression framework. Our approach combines methods for
sensitivity analysis of complex models and statistical tools for sparse
non-parametric estimation in multivariate Gaussian regression model. It rests
on the const... | 0 | 0 | 1 | 1 | 0 | 0 |
Dynamics of the brain extracellular matrix governed by interactions with neural cells | Neuronal and glial cells release diverse proteoglycans and glycoproteins,
which aggregate in the extracellular space and form the extracellular matrix
(ECM) that may in turn regulate major cellular functions. Brain cells also
release extracellular proteases that may degrade the ECM, and both synthesis
and degradation... | 0 | 0 | 0 | 0 | 1 | 0 |
AutoPerf: A Generalized Zero-Positive Learning System to Detect Software Performance Anomalies | We present AutoPerf, a generalized software performance regression diagnosis
system. AutoPerf uses autoencoders, an unsupervised learning technique, and
hardware performance counters to learn the performance signatures of a program.
It then uses this knowledge to identify when newer versions of the program
suffer fro... | 1 | 0 | 0 | 0 | 0 | 0 |
Building a bridge between Classical and Quantum Mechanics | The way Quantum Mechanics (QM) is introduced to people used to Classical
Mechanics (CM) is by a complete change of the general methodology) despite QM
historically stemming from CM as a means to explain experimental results.
Therefore, it is desirable to build a bridge from CM to QM.
This paper presents a generalizat... | 0 | 1 | 0 | 0 | 0 | 0 |
Size-Independent Sample Complexity of Neural Networks | We study the sample complexity of learning neural networks, by providing new
bounds on their Rademacher complexity assuming norm constraints on the
parameter matrix of each layer. Compared to previous work, these complexity
bounds have improved dependence on the network depth, and under some additional
assumptions, a... | 1 | 0 | 0 | 1 | 0 | 0 |
Copula Variational Bayes inference via information geometry | Variational Bayes (VB), also known as independent mean-field approximation,
has become a popular method for Bayesian network inference in recent years. Its
application is vast, e.g. in neural network, compressed sensing, clustering,
etc. to name just a few. In this paper, the independence constraint in VB will
be rel... | 0 | 0 | 0 | 1 | 0 | 0 |
Effect of increasing disorder on domains of the two-dimensional Coulomb glass | We have studied a two dimensional lattice model of Coulomb glass for a wide
range of disorders at $T\sim 0$. The system was first annealed using Monte
Carlo simulation. Further minimization of the total energy of the system was
done using Baranovskii et al algorithm followed by cluster flipping to obtain
the pseudo g... | 0 | 1 | 0 | 0 | 0 | 0 |
A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market | We propose a dynamic network model where two mechanisms control the
probability of a link between two nodes: (i) the existence or absence of this
link in the past, and (ii) node-specific latent variables (dynamic fitnesses)
describing the propensity of each node to create links. Assuming a Markov
dynamics for both me... | 1 | 0 | 0 | 1 | 0 | 1 |
Predicting stock market movements using network science: An information theoretic approach | A stock market is considered as one of the highly complex systems, which
consists of many components whose prices move up and down without having a
clear pattern. The complex nature of a stock market challenges us on making a
reliable prediction of its future movements. In this paper, we aim at building
a new method ... | 1 | 1 | 0 | 0 | 0 | 0 |
Bi-monotonic independence for pairs of algebras | In this article, the notion of bi-monotonic independence is introduced as an
extension of monotonic independence to the two-faced framework for a family of
pairs of algebras in a non-commutative space. The associated cumulants are
defined and a moment-cumulant formula is derived in the bi-monotonic setting.
In genera... | 0 | 0 | 1 | 0 | 0 | 0 |
Evidence of Significant Energy Input in the Late Phase of a Solar Flare from NuSTAR X-Ray Observations | We present observations of the occulted active region AR12222 during the
third {\em NuSTAR} solar campaign on 2014 December 11, with concurrent {\em
SDO/}AIA and {\em FOXSI-2} sounding rocket observations. The active region
produced a medium size solar flare one day before the observations, at
$\sim18$UT on 2014 Dece... | 0 | 1 | 0 | 0 | 0 | 0 |
Gender Bias in Sharenting: Both Men and Women Mention Sons More Often Than Daughters on Social Media | Gender inequality starts before birth. Parents tend to prefer boys over
girls, which is manifested in reproductive behavior, marital life, and parents'
pastimes and investments in their children. While social media and sharing
information about children (so-called "sharenting") have become an integral
part of parenth... | 1 | 0 | 0 | 0 | 0 | 0 |
Spatial disease mapping using Directed Acyclic Graph Auto-Regressive (DAGAR) models | Hierarchical models for regionally aggregated disease incidence data commonly
involve region specific latent random effects that are modelled jointly as
having a multivariate Gaussian distribution. The covariance or precision matrix
incorporates the spatial dependence between the regions. Common choices for the
preci... | 0 | 0 | 0 | 1 | 0 | 0 |
Bag-of-Words Method Applied to Accelerometer Measurements for the Purpose of Classification and Energy Estimation | Accelerometer measurements are the prime type of sensor information most
think of when seeking to measure physical activity. On the market, there are
many fitness measuring devices which aim to track calories burned and steps
counted through the use of accelerometers. These measurements, though good
enough for the av... | 1 | 0 | 0 | 1 | 0 | 0 |
Investigation of the commensurate magnetic structure in heavy fermion CePt2In7 using magnetic resonant X-ray diffraction | We investigated the magnetic structure of the heavy fermion compound
CePt$_2$In$_7$ below $T_N~=5.34(2)$ K using magnetic resonant X-ray diffraction
at ambient pressure. The magnetic order is characterized by a commensurate
propagation vector ${k}_{1/2}~=~\left( \frac{1}{2} , \frac{1}{2},
\frac{1}{2}\right)$ with spi... | 0 | 1 | 0 | 0 | 0 | 0 |
Constant-Time Predictive Distributions for Gaussian Processes | One of the most compelling features of Gaussian process (GP) regression is
its ability to provide well-calibrated posterior distributions. Recent advances
in inducing point methods have sped up GP marginal likelihood and posterior
mean computations, leaving posterior covariance estimation and sampling as the
remainin... | 0 | 0 | 0 | 1 | 0 | 0 |
Analysis of Thompson Sampling for Gaussian Process Optimization in the Bandit Setting | We consider the global optimization of a function over a continuous domain.
At every evaluation attempt, we can observe the function at a chosen point in
the domain and we reap the reward of the value observed. We assume that drawing
these observations are expensive and noisy. We frame it as a continuum-armed
bandit ... | 0 | 0 | 0 | 1 | 0 | 0 |
Dependency Graph Approach for Multiprocessor Real-Time Synchronization | Over the years, many multiprocessor locking protocols have been designed and
analyzed. However, the performance of these protocols highly depends on how the
tasks are partitioned and prioritized and how the resources are shared locally
and globally. This paper answers a few fundamental questions when real-time
tasks ... | 1 | 0 | 0 | 0 | 0 | 0 |
On topological cyclic homology | Topological cyclic homology is a refinement of Connes--Tsygan's cyclic
homology which was introduced by Bökstedt--Hsiang--Madsen in 1993 as an
approximation to algebraic $K$-theory. There is a trace map from algebraic
$K$-theory to topological cyclic homology, and a theorem of
Dundas--Goodwillie--McCarthy asserts tha... | 0 | 0 | 1 | 0 | 0 | 0 |
Local Partition in Rich Graphs | Local graph partitioning is a key graph mining tool that allows researchers
to identify small groups of interrelated nodes (e.g. people) and their
connective edges (e.g. interactions). Because local graph partitioning is
primarily focused on the network structure of the graph (vertices and edges),
it often fails to c... | 1 | 0 | 0 | 0 | 0 | 0 |
A Transient Queueing Analysis under Time-varying Arrival and Service Rates for Enabling Low-Latency Services | Understanding the detailed queueing behavior of a networking session is
critical in enabling low-latency services over the Internet. Especially when
the packet arrival and service rates at the queue of a link vary over time and
moreover when the session is short-lived, analyzing the corresponding queue
behavior as a ... | 1 | 0 | 0 | 0 | 0 | 0 |
SalientDSO: Bringing Attention to Direct Sparse Odometry | Although cluttered indoor scenes have a lot of useful high-level semantic
information which can be used for mapping and localization, most Visual
Odometry (VO) algorithms rely on the usage of geometric features such as
points, lines and planes. Lately, driven by this idea, the joint optimization
of semantic labels an... | 1 | 0 | 0 | 0 | 0 | 0 |
Asynchronous Decentralized Parallel Stochastic Gradient Descent | Most commonly used distributed machine learning systems are either
synchronous or centralized asynchronous. Synchronous algorithms like
AllReduce-SGD perform poorly in a heterogeneous environment, while asynchronous
algorithms using a parameter server suffer from 1) communication bottleneck at
parameter servers when ... | 1 | 0 | 0 | 1 | 0 | 0 |
Seamless Resources Sharing in Wearable Networks by Application Function Virtualization | The prevalence of smart wearable devices is increasing exponentially and we
are witnessing a wide variety of fascinating new services that leverage the
capabilities of these wearables. Wearables are truly changing the way mobile
computing is deployed and mobile applications are being developed. It is
possible to leve... | 1 | 0 | 0 | 0 | 0 | 0 |
Combining Model-Free Q-Ensembles and Model-Based Approaches for Informed Exploration | Q-Ensembles are a model-free approach where input images are fed into
different Q-networks and exploration is driven by the assumption that
uncertainty is proportional to the variance of the output Q-values obtained.
They have been shown to perform relatively well compared to other exploration
strategies. Further, mo... | 0 | 0 | 0 | 1 | 0 | 0 |
Creating a Cybersecurity Concept Inventory: A Status Report on the CATS Project | We report on the status of our Cybersecurity Assessment Tools (CATS) project
that is creating and validating a concept inventory for cybersecurity, which
assesses the quality of instruction of any first course in cybersecurity. In
fall 2014, we carried out a Delphi process that identified core concepts of
cybersecuri... | 1 | 0 | 0 | 0 | 0 | 0 |
Critical Learning Periods in Deep Neural Networks | Critical periods are phases in the early development of humans and animals
during which experience can irreversibly affect the architecture of neuronal
networks. In this work, we study the effects of visual stimulus deficits on the
training of artificial neural networks (ANNs). Introducing well-characterized
visual d... | 1 | 0 | 0 | 1 | 0 | 0 |
Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds | In this work we present a whole-body Nonlinear Model Predictive Control
approach for Rigid Body Systems subject to contacts. We use a full dynamic
system model which also includes explicit contact dynamics. Therefore, contact
locations, sequences and timings are not prespecified but optimized by the
solver. Yet, thor... | 1 | 0 | 0 | 0 | 0 | 0 |
An informative path planning framework for UAV-based terrain monitoring | Unmanned aerial vehicles (UAVs) represent a new frontier in a wide range of
monitoring and research applications. To fully leverage their potential, a key
challenge is planning missions for efficient data acquisition in complex
environments. To address this issue, this article introduces a general
informative path pl... | 1 | 0 | 0 | 0 | 0 | 0 |
Machine Learning on Sequential Data Using a Recurrent Weighted Average | Recurrent Neural Networks (RNN) are a type of statistical model designed to
handle sequential data. The model reads a sequence one symbol at a time. Each
symbol is processed based on information collected from the previous symbols.
With existing RNN architectures, each symbol is processed using only
information from ... | 1 | 0 | 0 | 1 | 0 | 0 |
Feynman-Kac equation for anomalous processes with space- and time-dependent forces | Functionals of a stochastic process Y(t) model many physical time-extensive
observables, e.g. particle positions, local and occupation times or accumulated
mechanical work. When Y(t) is a normal diffusive process, their statistics are
obtained as the solution of the Feynman-Kac equation. This equation provides
the cr... | 0 | 1 | 1 | 0 | 0 | 0 |
An Online Ride-Sharing Path Planning Strategy for Public Vehicle Systems | As efficient traffic-management platforms, public vehicle (PV) systems are
envisioned to be a promising approach to solving traffic congestions and
pollutions for future smart cities. PV systems provide online/dynamic
peer-to-peer ride-sharing services with the goal of serving sufficient number
of customers with mini... | 1 | 0 | 0 | 0 | 0 | 0 |
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning | We frame Question Answering (QA) as a Reinforcement Learning task, an
approach that we call Active Question Answering. We propose an agent that sits
between the user and a black box QA system and learns to reformulate questions
to elicit the best possible answers. The agent probes the system with,
potentially many, n... | 1 | 0 | 0 | 0 | 0 | 0 |
Time consistency for scalar multivariate risk measures | In this paper we present results on dynamic multivariate scalar risk
measures, which arise in markets with transaction costs and systemic risk. Dual
representations of such risk measures are presented. These are then used to
obtain the main results of this paper on time consistency; namely, an
equivalent recursive fo... | 0 | 0 | 0 | 0 | 0 | 1 |
A Continuous Beam Steering Slotted Waveguide Antenna Using Rotating Dielectric Slabs | The design, simulation and measurement of a beam steerable slotted waveguide
antenna operating in X band are presented. The proposed beam steerable antenna
consists of a standard rectangular waveguide (RWG) section with longitudinal
slots in the broad wall. The beam steering in this configuration is achieved by
rotat... | 0 | 1 | 0 | 0 | 0 | 0 |
Developing an edge computing platform for real-time descriptive analytics | The Internet of Mobile Things encompasses stream data being generated by
sensors, network communications that pull and push these data streams, as well
as running processing and analytics that can effectively leverage actionable
information for transportation planning, management, and business advantage.
Edge computi... | 1 | 0 | 0 | 0 | 0 | 0 |
Space Telescope and Optical Reverberation Mapping Project. VII. Understanding the UV anomaly in NGC 5548 with X-Ray Spectroscopy | During the Space Telescope and Optical Reverberation Mapping Project (STORM)
observations of NGC 5548, the continuum and emission-line variability became
de-correlated during the second half of the 6-month long observing campaign.
Here we present Swift and Chandra X-ray spectra of NGC 5548 obtained as a part
of the c... | 0 | 1 | 0 | 0 | 0 | 0 |
Design of a Multi-Modal End-Effector and Grasping System: How Integrated Design helped win the Amazon Robotics Challenge | We present the grasping system and design approach behind Cartman, the
winning entrant in the 2017 Amazon Robotics Challenge. We investigate the
design processes leading up to the final iteration of the system and describe
the emergent solution by comparing it with key robotics design aspects.
Following our experienc... | 1 | 0 | 0 | 0 | 0 | 0 |
Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions | We consider the semantics of prepositions, revisiting a broad-coverage
annotation scheme used for annotating all 4,250 preposition tokens in a 55,000
word corpus of English. Attempts to apply the scheme to adpositions and case
markers in other languages, as well as some problematic cases in English, have
led us to re... | 1 | 0 | 0 | 0 | 0 | 0 |
A Framework for Generalizing Graph-based Representation Learning Methods | Random walks are at the heart of many existing deep learning algorithms for
graph data. However, such algorithms have many limitations that arise from the
use of random walks, e.g., the features resulting from these methods are unable
to transfer to new nodes and graphs as they are tied to node identity. In this
work... | 1 | 0 | 0 | 1 | 0 | 0 |
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data | Gated Recurrent Unit (GRU) is a recently-developed variation of the long
short-term memory (LSTM) unit, both of which are types of recurrent neural
network (RNN). Through empirical evidence, both models have been proven to be
effective in a wide variety of machine learning tasks such as natural language
processing (W... | 1 | 0 | 0 | 1 | 0 | 0 |
Spelling Correction as a Foreign Language | In this paper, we reformulated the spell correction problem as a machine
translation task under the encoder-decoder framework. This reformulation
enabled us to use a single model for solving the problem that is traditionally
formulated as learning a language model and an error model. This model employs
multi-layer re... | 1 | 0 | 0 | 0 | 0 | 0 |
Intrinsic p-type W-based transition metal dichalcogenide by substitutional Ta-doping | Two-dimensional (2D) transition metal dichalcogenides (TMDs) have recently
emerged as promising candidates for future electronics and optoelectronics.
While most of TMDs are intrinsic n-type semiconductors due to electron donating
which originates from chalcogen vacancies, obtaining intrinsic high-quality
p-type semi... | 0 | 1 | 0 | 0 | 0 | 0 |
Synchronisation of Partial Multi-Matchings via Non-negative Factorisations | In this work we study permutation synchronisation for the challenging case of
partial permutations, which plays an important role for the problem of matching
multiple objects (e.g. images or shapes). The term synchronisation refers to
the property that the set of pairwise matchings is cycle-consistent, i.e. in
the fu... | 0 | 0 | 0 | 1 | 0 | 0 |
Associated varieties and Higgs branches (a survey) | Associated varieties of vertex algebras are analogue of the associated
varieties of primitive ideals of the universal enveloping algebras of
semisimple Lie algebras. They not only capture some of the important properties
of vertex algebras but also have interesting relationship with the Higgs
branches of four-dimensi... | 0 | 0 | 1 | 0 | 0 | 0 |
Optimization Design of Decentralized Control for Complex Decentralized Systems | A new method is developed to deal with the problem that a complex
decentralized control system needs to keep centralized control performance. The
systematic procedure emphasizes quickly finding the decentralized
subcontrollers that matching the closed-loop performance and robustness
characteristics of the centralized... | 1 | 0 | 0 | 0 | 0 | 0 |
SAM: Semantic Attribute Modulation for Language Modeling and Style Variation | This paper presents a Semantic Attribute Modulation (SAM) for language
modeling and style variation. The semantic attribute modulation includes
various document attributes, such as titles, authors, and document categories.
We consider two types of attributes, (title attributes and category
attributes), and a flexible... | 1 | 0 | 0 | 1 | 0 | 0 |
A Flexible Procedure for Mixture Proportion Estimation in Positive--Unlabeled Learning | Positive--unlabeled (PU) learning considers two samples, a positive set P
with observations from only one class and an unlabeled set U with observations
from two classes. The goal is to classify observations in U. Class mixture
proportion estimation (MPE) in U is a key step in PU learning. Blanchard et al.
[2010] sho... | 0 | 0 | 0 | 1 | 0 | 0 |
The Application of SNiPER to the JUNO Simulation | JUNO is a multipurpose neutrino experiment which is designed to determine
neutrino mass hierarchy and precisely measure oscillation parameters. As one of
the important systems, the JUNO offline software is being developed using the
SNiPER software. In this proceeding, we focus on the requirements of JUNO
simulation a... | 0 | 1 | 0 | 0 | 0 | 0 |
A Modified Sigma-Pi-Sigma Neural Network with Adaptive Choice of Multinomials | Sigma-Pi-Sigma neural networks (SPSNNs) as a kind of high-order neural
networks can provide more powerful mapping capability than the traditional
feedforward neural networks (Sigma-Sigma neural networks). In the existing
literature, in order to reduce the number of the Pi nodes in the Pi layer, a
special multinomial ... | 0 | 0 | 0 | 1 | 0 | 0 |
Proceedings of the 2017 AdKDD & TargetAd Workshop | Proceedings of the 2017 AdKDD and TargetAd Workshop held in conjunction with
the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining Halifax,
Nova Scotia, Canada.
| 1 | 0 | 0 | 0 | 0 | 0 |
On the R-superlinear convergence of the KKT residues generated by the augmented Lagrangian method for convex composite conic programming | Due to the possible lack of primal-dual-type error bounds, the superlinear
convergence for the Karush-Kuhn-Tucker (KKT) residues of the sequence generated
by augmented Lagrangian method (ALM) for solving convex composite conic
programming (CCCP) has long been an outstanding open question. In this paper,
we aim to res... | 0 | 0 | 1 | 0 | 0 | 0 |
It's Like Python But: Towards Supporting Transfer of Programming Language Knowledge | Expertise in programming traditionally assumes a binary novice-expert divide.
Learning resources typically target programmers who are learning programming
for the first time, or expert programmers for that language. An
underrepresented, yet important group of programmers are those that are
experienced in one programm... | 1 | 0 | 0 | 0 | 0 | 0 |
How do Mixture Density RNNs Predict the Future? | Gaining a better understanding of how and what machine learning systems learn
is important to increase confidence in their decisions and catalyze further
research. In this paper, we analyze the predictions made by a specific type of
recurrent neural network, mixture density RNNs (MD-RNNs). These networks learn
to mod... | 1 | 0 | 0 | 1 | 0 | 0 |
Robust Recovery of Missing Data in Electricity Distribution Systems | The advanced operation of future electricity distribution systems is likely
to require significant observability of the different parameters of interest
(e.g., demand, voltages, currents, etc.). Ensuring completeness of data is,
therefore, paramount. In this context, an algorithm for recovering missing
state variable... | 1 | 0 | 0 | 0 | 0 | 0 |
Numerical analysis of a nonlinear free-energy diminishing Discrete Duality Finite Volume scheme for convection diffusion equations | We propose a nonlinear Discrete Duality Finite Volume scheme to approximate
the solutions of drift diffusion equations. The scheme is built to preserve at
the discrete level even on severely distorted meshes the energy / energy
dissipation relation. This relation is of paramount importance to capture the
long-time be... | 0 | 0 | 1 | 0 | 0 | 0 |
A momentum conserving $N$-body scheme with individual timesteps | $N$-body simulations study the dynamics of $N$ particles under the influence
of mutual long-distant forces such as gravity. In practice, $N$-body codes will
violate Newton's third law if they use either an approximate Poisson solver or
individual timesteps. In this study, we construct a novel $N$-body scheme by
combi... | 0 | 1 | 0 | 0 | 0 | 0 |
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