text
null
inputs
dict
prediction
null
prediction_agent
null
annotation
list
annotation_agent
null
multi_label
bool
1 class
explanation
null
id
stringlengths
1
5
metadata
null
status
stringclasses
2 values
event_timestamp
null
metrics
null
null
{ "abstract": " Good parameter settings are crucial to achieve high performance in many areas\nof artificial intelligence (AI), such as propositional satisfiability solving,\nAI planning, scheduling, and machine learning (in particular deep learning).\nAutomated algorithm configuration methods have recently received...
null
null
null
null
true
null
20201
null
Default
null
null
null
{ "abstract": " We study the critical behavior of a general contagion model where nodes are\neither active (e.g. with opinion A, or functioning) or inactive (e.g. with\nopinion B, or damaged). The transitions between these two states are determined\nby (i) spontaneous transitions independent of the neighborhood, (ii...
null
null
[ "Physics", "Mathematics" ]
null
true
null
20202
null
Validated
null
null
null
{ "abstract": " An appearance-based robot self-localization problem is considered in the\nmachine learning framework. The appearance space is composed of all possible\nimages, which can be captured by a robot's visual system under all robot\nlocalizations. Using recent manifold learning and deep learning techniques,...
null
null
null
null
true
null
20203
null
Default
null
null
null
{ "abstract": " We currently witness the emergence of interesting new network topologies\noptimized towards the traffic matrices they serve, such as demand-aware\ndatacenter interconnects (e.g., ProjecToR) and demand-aware overlay networks\n(e.g., SplayNets). This paper introduces a formal framework and approach to\...
null
null
null
null
true
null
20204
null
Default
null
null
null
{ "abstract": " We propose a method to infer domain-specific models such as classifiers for\nunseen domains, from which no data are given in the training phase, without\ndomain semantic descriptors. When training and test distributions are\ndifferent, standard supervised learning methods perform poorly. Zero-shot\nd...
null
null
null
null
true
null
20205
null
Default
null
null
null
{ "abstract": " Genome-wide chromosome conformation capture techniques such as Hi-C enable\nthe generation of 3D genome contact maps and offer new pathways toward\nunderstanding the spatial organization of genome. One specific feature of the\n3D organization is known as topologically associating domains (TADs), whic...
null
null
null
null
true
null
20206
null
Default
null
null
null
{ "abstract": " It is proposed and substantiated that an extraterrestrial object of the\napproximate size and mass of Planet Mars, impacting the Earth in an oblique\nangle along an approximately NE-SW route (with respect to the current\norientation of the North America continent) around 750 million years ago (750\nM...
null
null
null
null
true
null
20207
null
Default
null
null
null
{ "abstract": " We show how to reverse a while language extended with blocks, local\nvariables, procedures and the interleaving parallel composition. Annotation is\ndefined along with a set of operational semantics capable of storing necessary\nreversal information, and identifiers are introduced to capture the\nint...
null
null
null
null
true
null
20208
null
Default
null
null
null
{ "abstract": " Hubble Space Telescope photometry from the ACS/WFC and WFPC2 cameras is used\nto detect and measure globular clusters (GCs) in the central region of the rich\nPerseus cluster of galaxies. A detectable population of Intragalactic GCs is\nfound extending out to at least 500 kpc from the cluster center....
null
null
null
null
true
null
20209
null
Default
null
null
null
{ "abstract": " Phylogenetic networks are a generalization of evolutionary trees that are\nused by biologists to represent the evolution of organisms which have undergone\nreticulate evolution. Essentially, a phylogenetic network is a directed acyclic\ngraph having a unique root in which the leaves are labelled by a...
null
null
null
null
true
null
20210
null
Default
null
null
null
{ "abstract": " $G$-deformability of maps into projective space is characterised by the\nexistence of certain Lie algebra valued 1-forms. This characterisation gives a\nunified way to obtain well known results regarding deformability in different\ngeometries.\n", "title": "G-Deformations of maps into projective sp...
null
null
null
null
true
null
20211
null
Default
null
null
null
{ "abstract": " Atmospheric modeling of low-gravity (VL-G) young brown dwarfs remains a\nchallenge. The presence of very thick clouds has been suggested because of\ntheir extremely red near-infrared (NIR) spectra, but no cloud models provide a\ngood fit to the data with a radius compatible with evolutionary models f...
null
null
null
null
true
null
20212
null
Default
null
null
null
{ "abstract": " Ongoing innovations in recurrent neural network architectures have provided a\nsteady influx of apparently state-of-the-art results on language modelling\nbenchmarks. However, these have been evaluated using differing code bases and\nlimited computational resources, which represent uncontrolled sourc...
null
null
[ "Computer Science" ]
null
true
null
20213
null
Validated
null
null
null
{ "abstract": " Separating audio mixtures into individual instrument tracks has been a long\nstanding challenging task. We introduce a novel weakly supervised audio source\nseparation approach based on deep adversarial learning. Specifically, our loss\nfunction adopts the Wasserstein distance which directly measures...
null
null
[ "Computer Science" ]
null
true
null
20214
null
Validated
null
null
null
{ "abstract": " Let $d$ be a positive integer and $x$ a real number. Let $A_{d, x}$ be a\n$d\\times 2d$ matrix with its entries $$ a_{i,j}=\\left\\{ \\begin{array}{ll} x\\ \\\n& \\mbox{for} \\ 1\\leqslant j\\leqslant d+1-i, 1\\ \\ & \\mbox{for} \\ d+2-i\\leqslant\nj\\leqslant d+i, 0\\ \\ & \\mbox{for} \\ d+1+i\\leqs...
null
null
null
null
true
null
20215
null
Default
null
null
null
{ "abstract": " Triggered star formation around HII regions could be an important process.\nThe Galactic HII region RCW 79 is a prototypical object for triggered high-mass\nstar formation. We take advantage of Herschel data from the surveys HOBYS,\n\"Evolution of Interstellar Dust\", and Hi-Gal to extract compact so...
null
null
null
null
true
null
20216
null
Default
null
null
null
{ "abstract": " The methodology of Software-Defined Robotics hierarchical-based and\nstand-alone framework can be designed and implemented to program and control\ndifferent sets of robots, regardless of their manufacturers' parameters and\nspecifications, with unified commands and communications. This framework\napp...
null
null
[ "Computer Science" ]
null
true
null
20217
null
Validated
null
null
null
{ "abstract": " We consider a curved Sitnikov problem, in which an infinitesimal particle\nmoves on a circle under the gravitational influence of two equal masses in\nKeplerian motion within a plane perpendicular to that circle. There are two\nequilibrium points, whose stability we are studying. We show that one of ...
null
null
null
null
true
null
20218
null
Default
null
null
null
{ "abstract": " We define Hardy spaces $H^p(\\Omega_\\pm)$ on half-strip domain~$\\Omega_+$ and\n$\\Omega_-= \\mathbb{C}\\setminus\\overline{\\Omega_+}$, where $0<p<\\infty$, and\nprove that functions in $H^p(\\Omega_\\pm)$ has non-tangential boundary limit\na.e. on $\\Gamma$, the common boundary of $\\Omega_\\pm$. ...
null
null
null
null
true
null
20219
null
Default
null
null
null
{ "abstract": " In recent years, numerous vision and learning tasks have been (re)formulated\nas nonconvex and nonsmooth programmings(NNPs). Although some algorithms have\nbeen proposed for particular problems, designing fast and flexible optimization\nschemes with theoretical guarantee is a challenging task for gen...
null
null
[ "Computer Science", "Mathematics" ]
null
true
null
20220
null
Validated
null
null
null
{ "abstract": " The control task of tracking a reference pointing direction (the attitude\nabout the pointing direction is irrelevant) while obtaining a desired angular\nvelocity (PDAV) around the pointing direction using geometric techniques is\naddressed here. Existing geometric controllers developed on the two-sp...
null
null
null
null
true
null
20221
null
Default
null
null
null
{ "abstract": " Computer programs do not always work as expected. In fact, ominous warnings\nabout the desperate state of the software industry continue to be released with\nalmost ritualistic regularity. In this paper, we look at the 60 years history\nof programming and at the different practical methods that softw...
null
null
null
null
true
null
20222
null
Default
null
null
null
{ "abstract": " A vector composition of a vector $\\mathbf{\\ell}$ is a matrix $\\mathbf{A}$\nwhose rows sum to $\\mathbf{\\ell}$. We define a weighted vector composition as a\nvector composition in which the column values of $\\mathbf{A}$ may appear in\ndifferent colors. We study vector compositions from different ...
null
null
null
null
true
null
20223
null
Default
null
null
null
{ "abstract": " This paper shows that a simple baseline based on a Bag-of-Words (BoW)\nrepresentation learns surprisingly good knowledge graph embeddings. By casting\nknowledge base completion and question answering as supervised classification\nproblems, we observe that modeling co-occurences of entities and relati...
null
null
null
null
true
null
20224
null
Default
null
null
null
{ "abstract": " Deep learning is having a profound impact in many fields, especially those\nthat involve some form of image processing. Deep neural networks excel in\nturning an input image into a set of high-level features. On the other hand,\ntomography deals with the inverse problem of recreating an image from a ...
null
null
[ "Physics", "Statistics" ]
null
true
null
20225
null
Validated
null
null
null
{ "abstract": " We use publicly available data for the Millennium Simulation to explore the\nimplications of the recent detection of assembly bias and splashback signatures\nin a large sample of galaxy clusters. These were identified in the SDSS/DR8\nphotometric data by the redMaPPer algorithm and split into high- a...
null
null
[ "Physics" ]
null
true
null
20226
null
Validated
null
null
null
{ "abstract": " Support vector machines (SVM) and other kernel techniques represent a family\nof powerful statistical classification methods with high accuracy and broad\napplicability. Because they use all or a significant portion of the training\ndata, however, they can be slow, especially for large problems. Piec...
null
null
null
null
true
null
20227
null
Default
null
null
null
{ "abstract": " This paper considers the problem of approximating a density when it can be\nevaluated up to a normalizing constant at a finite number of points. This\ndensity approximation problem is ubiquitous in machine learning, such as\napproximating a posterior density for Bayesian inference and estimating an\n...
null
null
null
null
true
null
20228
null
Default
null
null
null
{ "abstract": " In this study we follow Grossmann and Lohse, Phys. Rev. Lett. 86 (2001), who\nderived various scalings regimes for the dependence of the Nusselt number $Nu$\nand the Reynolds number $Re$ on the Rayleigh number $Ra$ and the Prandtl number\n$Pr$. We focus on theoretical arguments as well as on numerica...
null
null
null
null
true
null
20229
null
Default
null
null
null
{ "abstract": " The renormalization method based on the Taylor expansion for asymptotic\nanalysis of differential equations is generalized to difference equations. The\nproposed renormalization method is based on the Newton-Maclaurin expansion.\nSeveral basic theorems on the renormalization method are proven. Some\n...
null
null
null
null
true
null
20230
null
Default
null
null
null
{ "abstract": " The numerical approximation of 2D elasticity problems is considered, in the\nframework of the small strain theory and in connection with the mixed\nHellinger-Reissner variational formulation. A low-order Virtual Element Method\n(VEM) with a-priori symmetric stresses is proposed. Several numerical tes...
null
null
null
null
true
null
20231
null
Default
null
null
null
{ "abstract": " In this paper, we consider the problem of estimating the lead-lag parameter\nbetween two stochastic processes driven by fractional Brownian motions (fBMs)\nof the Hurst parameter greater than 1/2. First we propose a lead-lag model\nbetween two stochastic processes involving fBMs, and then construct a...
null
null
null
null
true
null
20232
null
Default
null
null
null
{ "abstract": " A polymer model given in terms of beads, interacting through Hookean springs\nand hydrodynamic forces, is studied. Brownian dynamics description of this\nbead-spring polymer model is extended to multiple resolutions. Using this\nmultiscale approach, a modeller can efficiently look at different region...
null
null
null
null
true
null
20233
null
Default
null
null
null
{ "abstract": " Distributed learning is an effective way to analyze big data. In distributed\nregression, a typical approach is to divide the big data into multiple blocks,\napply a base regression algorithm on each of them, and then simply average the\noutput functions learnt from these blocks. Since the average pr...
null
null
null
null
true
null
20234
null
Default
null
null
null
{ "abstract": " Kriging or Gaussian Process Regression is applied in many fields as a\nnon-linear regression model as well as a surrogate model in the field of\nevolutionary computation. However, the computational and space complexity of\nKriging, that is cubic and quadratic in the number of data points respectively...
null
null
null
null
true
null
20235
null
Default
null
null
null
{ "abstract": " Over the past three years it has become evident that fake news is a danger to\ndemocracy. However, until now there has been no clear understanding of how to\ndefine fake news, much less how to model it. This paper addresses both these\nissues. A definition of fake news is given, and two approaches fo...
null
null
null
null
true
null
20236
null
Default
null
null
null
{ "abstract": " Deep learning is the state-of-the-art in fields such as visual object\nrecognition and speech recognition. This learning uses a large number of layers\nand a huge number of units and connections. Therefore, overfitting is a serious\nproblem with it, and the dropout which is a kind of regularization t...
null
null
null
null
true
null
20237
null
Default
null
null
null
{ "abstract": " The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE)\nChallenge compares the performance of algorithms at predicting future evolution\nof individuals at risk of Alzheimer's disease. TADPOLE Challenge participants\ntrain their models and algorithms on historical data from the Alzheim...
null
null
null
null
true
null
20238
null
Default
null
null
null
{ "abstract": " The acquisition of Magnetic Resonance Imaging (MRI) is inherently slow.\nInspired by recent advances in deep learning, we propose a framework for\nreconstructing MR images from undersampled data using a deep cascade of\nconvolutional neural networks to accelerate the data acquisition process. We\nsho...
null
null
null
null
true
null
20239
null
Default
null
null
null
{ "abstract": " We present a state-of-the-art end-to-end Automatic Speech Recognition (ASR)\nmodel. We learn to listen and write characters with a joint Connectionist\nTemporal Classification (CTC) and attention-based encoder-decoder network. The\nencoder is a deep Convolutional Neural Network (CNN) based on the VGG...
null
null
null
null
true
null
20240
null
Default
null
null
null
{ "abstract": " This study focuses on the social structure and interpersonal dynamics of an\nafterschool math club for middle schoolers. Using social network analysis, two\nnetworks were formed and analyzed: The network of friendship relationships and\nthe network of working relationships. The interconnections and c...
null
null
null
null
true
null
20241
null
Default
null
null
null
{ "abstract": " It is well-known that the Harish-Chandra transform, $f\\mapsto\\mathcal{H}f,$\nis a topological isomorphism of the spherical (Schwartz) convolution algebra\n$\\mathcal{C}^{p}(G//K)$ (where $K$ is a maximal compact subgroup of any\narbitrarily chosen group $G$ in the Harish-Chandra class and $0<p\\leq...
null
null
null
null
true
null
20242
null
Default
null
null
null
{ "abstract": " We consider the estimation of a signal from the knowledge of its noisy linear\nrandom Gaussian projections. A few examples where this problem is relevant are\ncompressed sensing, sparse superposition codes, and code division multiple\naccess. There has been a number of works considering the mutual in...
null
null
null
null
true
null
20243
null
Default
null
null
null
{ "abstract": " Memristors have recently received significant attention as ubiquitous\ndevice-level components for building a novel generation of computing systems.\nThese devices have many promising features, such as non-volatility, low power\nconsumption, high density, and excellent scalability. The ability to con...
null
null
null
null
true
null
20244
null
Default
null
null
null
{ "abstract": " We introduce a directed, weighted random graph model, where the edge-weights\nare independent and beta-distributed with parameters depending on their\nendpoints. We will show that the row- and column-sums of the transformed\nedge-weight matrix are sufficient statistics for the parameters, and use the...
null
null
null
null
true
null
20245
null
Default
null
null
null
{ "abstract": " In this letter, we investigate the performance of multiple-input\nmultiple-output techniques in a vehicle-to-vehicle communication system. We\nconsider both transmit antenna selection with maximal-ratio combining and\ntransmit antenna selection with selection combining. The channel propagation\nmodel...
null
null
null
null
true
null
20246
null
Default
null
null
null
{ "abstract": " Migration the main process shaping patterns of human settlement within and\nbetween countries. It is widely acknowledged to be integral to the process of\nhuman development as it plays a significant role in enhancing educational\noutcomes. At regional and national levels, internal migration underpins...
null
null
null
null
true
null
20247
null
Default
null
null
null
{ "abstract": " We establish the Gröbner-Shirshov bases theory for differential Lie\n$\\Omega$-algebras. As an application, we give a linear basis of a free\ndifferential Lie Rota-Baxter algebra on a set.\n", "title": "Free differential Lie Rota-Baxter algebras and Gröbner-Shirshov bases" }
null
null
[ "Mathematics" ]
null
true
null
20248
null
Validated
null
null
null
{ "abstract": " Conversion optimization means designing a web interface so that as many users\nas possible take a desired action on it, such as register or purchase. Such\ndesign is usually done by hand, testing one change at a time through A/B\ntesting, or a limited number of combinations through multivariate testi...
null
null
null
null
true
null
20249
null
Default
null
null
null
{ "abstract": " This paper investigates the phenomenon of emergence of spatial curvature.\nThis phenomenon is absent in the Standard Cosmological Model, which has a flat\nand fixed spatial curvature (small perturbations are considered in the Standard\nCosmological Model but their global average vanishes, leading to ...
null
null
[ "Physics" ]
null
true
null
20250
null
Validated
null
null
null
{ "abstract": " In many biological, agricultural, military activity problems and in some\nquality control problems, it is almost impossible to have a fixed sample size,\nbecause some observations are always lost for various reasons. Therefore, the\nsample size itself is considered frequently to be a random variable ...
null
null
null
null
true
null
20251
null
Default
null
null
null
{ "abstract": " We consider minimization problems in the calculus of variations set in a\nsequence of domains the size of which tends to infinity in certain directions\nand such that the data only depend on the coordinates in the directions that\nremain constant. We study the asymptotic behavior of minimizers in var...
null
null
null
null
true
null
20252
null
Default
null
null
null
{ "abstract": " In this paper, we extend the Hermite-Hadamard type $\\dot{I}$scan inequality\nto the class of symmetrized harmonic convex functions. The corresponding\nversion for harmonic h-convex functions is also investigated. Furthermore, we\nestablish Hermite-Hadamard type inequalites for the product of a harmo...
null
null
null
null
true
null
20253
null
Default
null
null
null
{ "abstract": " This paper provides several statistical estimators for the drift and\nvolatility parameters of an Ornstein-Uhlenbeck process driven by fractional\nBrownian motion, whose observations can be made either continuously or at\ndiscrete time instants. First and higher order power variations are used to\nes...
null
null
null
null
true
null
20254
null
Default
null
null
null
{ "abstract": " In this paper, we compute the E-polynomials of the\n$PGL(2,\\mathbb{C})$-character varieties associated to surfaces of genus $g$\nwith one puncture, for any holonomy around it, and compare it with its\nLanglands dual case, $SL(2,\\mathbb{C})$. The study is based on the\nstratification of the space of...
null
null
null
null
true
null
20255
null
Default
null
null
null
{ "abstract": " Modern computer architectures share physical resources between different\nprograms in order to increase area-, energy-, and cost-efficiency.\nUnfortunately, sharing often gives rise to side channels that can be exploited\nfor extracting or transmitting sensitive information. We currently lack\ntechni...
null
null
null
null
true
null
20256
null
Default
null
null
null
{ "abstract": " We show various supercongruences for truncated series which involve central\nbinomial coefficients and harmonic numbers. The corresponding infinite series\nare also evaluated.\n", "title": "Supercongruences related to ${}_3F_2(1)$ involving harmonic numbers" }
null
null
[ "Mathematics" ]
null
true
null
20257
null
Validated
null
null
null
{ "abstract": " Layer normalization is a recently introduced technique for normalizing the\nactivities of neurons in deep neural networks to improve the training speed and\nstability. In this paper, we introduce a new layer normalization technique\ncalled Dynamic Layer Normalization (DLN) for adaptive neural acousti...
null
null
[ "Computer Science" ]
null
true
null
20258
null
Validated
null
null
null
{ "abstract": " Translating formulas of Linear Temporal Logic (LTL) over finite traces, or\nLTLf, to symbolic Deterministic Finite Automata (DFA) plays an important role\nnot only in LTLf synthesis, but also in synthesis for Safety LTL formulas. The\ntranslation is enabled by using MONA, a powerful tool for symbolic...
null
null
null
null
true
null
20259
null
Default
null
null
null
{ "abstract": " This short note describes the benefit one obtains from a specific\nconstruction of a family of parametrices for a class of elliptic boundary value\nproblems perturbed by non-linear terms of product type. The construction is\nbased on the Boutet de Monvel calculus of pseudo-differential boundary\noper...
null
null
null
null
true
null
20260
null
Default
null
null
null
{ "abstract": " In this paper, we introduce a new concept of stability for cross-validation,\ncalled the $\\left( \\beta, \\varpi \\right)$-stability, and use it as a new\nperspective to build the general theory for cross-validation. The $\\left(\n\\beta, \\varpi \\right)$-stability mathematically connects the gener...
null
null
null
null
true
null
20261
null
Default
null
null
null
{ "abstract": " The convolution properties are discussed for the complex-valued harmonic\nfunctions in the unit disk $\\mathbb{D}$ constructed from the harmonic shearing\nof the analytic function $\\phi(z):=\\int_0^z\n(1/(1-2\\xi\\textit{e}^{\\textit{i}\\mu}\\cos\\nu+\\xi^2\\textit{e}^{2\\textit{i}\\mu}))\\textit{d}...
null
null
null
null
true
null
20262
null
Default
null
null
null
{ "abstract": " Network densification and heterogenisation through the deployment of small\ncellular access points (picocells and femtocells) are seen as key mechanisms in\nhandling the exponential increase in cellular data traffic. Modelling such\nnetworks by leveraging tools from Stochastic Geometry has proven par...
null
null
null
null
true
null
20263
null
Default
null
null
null
{ "abstract": " We investigate the integration of a planning mechanism into an\nencoder-decoder architecture with an explicit alignment for character-level\nmachine translation. We develop a model that plans ahead when it computes\nalignments between the source and target sequences, constructing a matrix of\npropose...
null
null
null
null
true
null
20264
null
Default
null
null
null
{ "abstract": " In this paper, we propose a novel recurrent neural network architecture for\nspeech separation. This architecture is constructed by unfolding the iterations\nof a sequential iterative soft-thresholding algorithm (ISTA) that solves the\noptimization problem for sparse nonnegative matrix factorization ...
null
null
null
null
true
null
20265
null
Default
null
null
null
{ "abstract": " Our start point is a 3D piecewise smooth vector field defined in two zones\nand presenting a shared fold curve for the two smooth vector fields considered.\nMoreover, these smooth vector fields are symmetric relative to the fold curve,\ngiving raise to a continuum of nested topological cylinders such...
null
null
[ "Mathematics" ]
null
true
null
20266
null
Validated
null
null
null
{ "abstract": " Why is it difficult to refold a previously folded sheet of paper? We show\nthat even crease patterns with only one designed folding motion inevitably\ncontain an exponential number of `distractor' folding branches accessible from\na bifurcation at the flat state. Consequently, refolding a sheet requi...
null
null
null
null
true
null
20267
null
Default
null
null
null
{ "abstract": " We discuss a general procedure to construct an integrable real-time\ntrotterization of interacting lattice models. As an illustrative example we\nconsider a spin-$1/2$ chain, with continuous time dynamics described by the\nisotropic ($XXX$) Heisenberg Hamiltonian. For periodic boundary conditions\nlo...
null
null
[ "Physics" ]
null
true
null
20268
null
Validated
null
null
null
{ "abstract": " The Hawkes process is a class of point processes whose future depends on its\nown history. Previous theoretical work on the Hawkes process is limited to the\ncase of a mutually-exciting process, in which a past event can only increase\nthe occurrence of future events. However, in neuronal networks an...
null
null
null
null
true
null
20269
null
Default
null
null
null
{ "abstract": " Rapid deployment and operation are key requirements in time critical\napplication, such as Search and Rescue (SaR). Efficiently teleoperated ground\nrobots can support first-responders in such situations. However, first-person\nview teleoperation is sub-optimal in difficult terrains, while a third-pe...
null
null
null
null
true
null
20270
null
Default
null
null
null
{ "abstract": " We present an analytical treatment of a three-dimensional variational model\nof a system that exhibits a second-order phase transition in the presence of\ndipolar interactions. Within the framework of Ginzburg-Landau theory, we\nconcentrate on the case in which the domain occupied by the sample has t...
null
null
null
null
true
null
20271
null
Default
null
null
null
{ "abstract": " This document describes our submission to the 2018 LOCalization And TrAcking\n(LOCATA) challenge (Tasks 1, 3, 5). We estimate the 3D position of a speaker\nusing the Global Coherence Field (GCF) computed from multiple microphone pairs\nof a DICIT planar array. One of the main challenges when using su...
null
null
null
null
true
null
20272
null
Default
null
null
null
{ "abstract": " The number of component classifiers chosen for an ensemble greatly impacts\nthe prediction ability. In this paper, we use a geometric framework for a\npriori determining the ensemble size, which is applicable to most of existing\nbatch and online ensemble classifiers. There are only a limited number ...
null
null
null
null
true
null
20273
null
Default
null
null
null
{ "abstract": " Low-rank modeling has many important applications in computer vision and\nmachine learning. While the matrix rank is often approximated by the convex\nnuclear norm, the use of nonconvex low-rank regularizers has demonstrated\nbetter empirical performance. However, the resulting optimization problem i...
null
null
null
null
true
null
20274
null
Default
null
null
null
{ "abstract": " Inspired by the importance of diversity in biological system, we built an\nheterogeneous system that could achieve this goal. Our architecture could be\nsummarized in two basic steps. First, we generate a diverse set of\nclassification hypothesis using both Convolutional Neural Networks, currently\nt...
null
null
null
null
true
null
20275
null
Default
null
null
null
{ "abstract": " Community detection is a commonly used technique for identifying groups in a\nnetwork based on similarities in connectivity patterns. To facilitate community\ndetection in large networks, we recast the network to be partitioned into a\nsmaller network of 'super nodes', each super node comprising one ...
null
null
null
null
true
null
20276
null
Default
null
null
null
{ "abstract": " Electronic friction and the ensuing nonadiabatic energy loss play an\nimportant role in chemical reaction dynamics at metal surfaces. Using molecular\ndynamics with electronic friction evaluated on-the-fly from Density Functional\nTheory, we find strong mode dependence and a dominance of nonadiabatic...
null
null
null
null
true
null
20277
null
Default
null
null
null
{ "abstract": " We explore the notion of the quantum auxiliary linear problem and the\nassociated problem of quantum Backlund transformations (BT). In this context we\nsystematically construct the analogue of the classical formula that provides\nthe whole hierarchy of the time components of Lax pairs at the quantum ...
null
null
[ "Physics" ]
null
true
null
20278
null
Validated
null
null
null
{ "abstract": " Recurrent neural networks with various types of hidden units have been used\nto solve a diverse range of problems involving sequence data. Two of the most\nrecent proposals, gated recurrent units (GRU) and minimal gated units (MGU),\nhave shown comparable promising results on example public datasets....
null
null
null
null
true
null
20279
null
Default
null
null
null
{ "abstract": " Hydrogen bonding between nucleobases produces diverse DNA structural motifs,\nincluding canonical duplexes, guanine (G) quadruplexes and cytosine (C)\ni-motifs. Incorporating metal-mediated base pairs into nucleic acid structures\ncan introduce new functionalities and enhanced stabilities. Here we\nd...
null
null
null
null
true
null
20280
null
Default
null
null
null
{ "abstract": " This paper derives an upper limit on the density $\\rho_{\\scriptstyle\\Lambda}$\nof dark energy based on the requirement that cosmological structure forms\nbefore being frozen out by the eventual acceleration of the universe. By\nallowing for variations in both the cosmological parameters and the st...
null
null
[ "Physics" ]
null
true
null
20281
null
Validated
null
null
null
{ "abstract": " Mobile edge caching enables content delivery directly within the radio access\nnetwork, which effectively alleviates the backhaul burden and reduces\nround-trip latency. To fully exploit the edge resources, the most popular\ncontents should be identified and cached. Observing that content popularity\...
null
null
null
null
true
null
20282
null
Default
null
null
null
{ "abstract": " We develop an online learning method for prediction, which is important in\nproblems with large and/or streaming data sets. We formulate the learning\napproach using a covariance-fitting methodology, and show that the resulting\npredictor has desirable computational and distribution-free properties: ...
null
null
null
null
true
null
20283
null
Default
null
null
null
{ "abstract": " We study the mass imbalanced Fermi-Fermi mixture within the framework of a\ntwo-dimensional lattice fermion model. Based on the thermodynamic and species\ndependent quasiparticle behavior we map out the finite temperature phase\ndiagram of this system and show that unlike the balanced Fermi superflui...
null
null
null
null
true
null
20284
null
Default
null
null
null
{ "abstract": " We establish concrete criteria for fully supported absolutely continuous\nspectrum for ergodic CMV matrices and purely absolutely continuous spectrum for\nlimit-periodic CMV matrices. We proceed by proving several variational\nestimates on the measure of the spectrum and the vanishing set of the Lyap...
null
null
null
null
true
null
20285
null
Default
null
null
null
{ "abstract": " While in standard photoacoustic imaging the propagation of sound waves is\nmodeled by the standard wave equation, our approach is based on a generalized\nwave equation with variable sound speed and material density, respectively. In\nthis paper we present an approach for photoacoustic imaging, which ...
null
null
null
null
true
null
20286
null
Default
null
null
null
{ "abstract": " Deep convolutional neural network (CNN) based salient object detection\nmethods have achieved state-of-the-art performance and outperform those\nunsupervised methods with a wide margin. In this paper, we propose to integrate\ndeep and unsupervised saliency for salient object detection under a unified...
null
null
null
null
true
null
20287
null
Default
null
null
null
{ "abstract": " In this paper, we investigate the fundamental limitations of feedback\nmechanism in dealing with uncertainties for network systems. The study of\nmaximum capability of feedback control was pioneered in Xie and Guo (2000) for\nscalar systems with nonparametric nonlinear uncertainty. In a network setti...
null
null
null
null
true
null
20288
null
Default
null
null
null
{ "abstract": " We identify graphene layer on a disordered substrate as a possible system\nwhere Anderson localization of phonons can be observed. Generally, observation\nof localization for scattering waves is not simple, because the Rayleigh\nscattering is inversely proportional to a high power of wavelength. The\...
null
null
[ "Physics" ]
null
true
null
20289
null
Validated
null
null
null
{ "abstract": " Many approaches for testing configurable software systems start from the same\nassumption: it is impossible to test all configurations. This motivated the\ndefinition of variability-aware abstractions and sampling techniques to cope\nwith large configuration spaces. Yet, there is no theoretical barri...
null
null
null
null
true
null
20290
null
Default
null
null
null
{ "abstract": " We propose a reinforcement learning (RL) based closed loop power control\nalgorithm for the downlink of the voice over LTE (VoLTE) radio bearer for an\nindoor environment served by small cells. The main contributions of our paper\nare to 1) use RL to solve performance tuning problems in an indoor cel...
null
null
null
null
true
null
20291
null
Default
null
null
null
{ "abstract": " We consider the parabolic Allen-Cahn equation in $\\mathbb{R}^n$, $n\\ge 2$,\n$$u_t= \\Delta u + (1-u^2)u \\quad \\hbox{ in } \\mathbb{R}^n \\times (-\\infty,\n0].$$ We construct an ancient radially symmetric solution $u(x,t)$ with any\ngiven number $k$ of transition layers between $-1$ and $+1$. At ...
null
null
[ "Mathematics" ]
null
true
null
20292
null
Validated
null
null
null
{ "abstract": " The long-tail phenomenon tells us that there are many items in the tail.\nHowever, not all tail items are the same. Each item acquires different kinds of\nusers. Some items are loved by the general public, while some items are\nconsumed by eccentric fans. In this paper, we propose a novel metric, ite...
null
null
null
null
true
null
20293
null
Default
null
null
null
{ "abstract": " A real-world dataset is provided from a pulp-and-paper manufacturing\nindustry. The dataset comes from a multivariate time series process. The data\ncontains a rare event of paper break that commonly occurs in the industry. The\ndata contains sensor readings at regular time-intervals (x's) and the ev...
null
null
null
null
true
null
20294
null
Default
null
null
null
{ "abstract": " An experimental setup for consecutive measurement of ion and x-ray absorption\nin tissue or other materials is introduced. With this setup using a 3D-printed\nsample container, the reference stopping-power ratio (SPR) of materials can be\nmeasured with an uncertainty of below 0.1%. A total of 65 porc...
null
null
null
null
true
null
20295
null
Default
null
null
null
{ "abstract": " In their recent book Merchants of Doubt [New York:Bloomsbury 2010], Naomi\nOreskes and Erik Conway describe the \"tobacco strategy\", which was used by the\ntobacco industry to influence policy makers regarding the health risks of\ntobacco products. The strategy involved two parts, consisting of (1) ...
null
null
null
null
true
null
20296
null
Default
null
null
null
{ "abstract": " In this paper we deal with the well-known nonlinear Lorenz system that\ndescribes the deterministic chaos phenomenon. We consider an interesting\nproblem with time-varying phenomena in quantum optics. Then we establish from\nthe motion equations the passage to the Lorenz system. Furthermore, we show\...
null
null
null
null
true
null
20297
null
Default
null
null
null
{ "abstract": " In preprint we consider and compare different definitions of generalized\nsolution of the Cauchy problem for 1d-scalar quasilinear equation (conservation\nlaw). We start from the classical approaches goes back to I.M. Gelfand, O.A.\nOleinik, S.N. Kruzhkov and move to the modern finite-difference appr...
null
null
null
null
true
null
20298
null
Default
null
null
null
{ "abstract": " This paper investigates the computational complexity of sparse label\npropagation which has been proposed recently for processing network structured\ndata. Sparse label propagation amounts to a convex optimization problem and\nmight be considered as an extension of basis pursuit from sparse vectors t...
null
null
null
null
true
null
20299
null
Default
null
null
null
{ "abstract": " The Hard Problem of consciousness has been dismissed as an illusion. By\nshowing that computers are capable of experiencing, we show that they are at\nleast rudimentarily conscious with potential to eventually reach\nsuperconsciousness. The main contribution of the paper is a test for confirming\ncer...
null
null
null
null
true
null
20300
null
Default
null
null