
Detection and Identification of Objects and Humans in Thermal Images
Intelligent detecting processing capabilities can be instrumental to imp...
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Interpretable Neural Networks for Predicting Mortality Risk using Multimodal Electronic Health Records
We present an interpretable neural network for predicting an important c...
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A deep QLearning based Path Planning and Navigation System for Firefighting Environments
Live fire creates a dynamic, rapidly changing environment that presents ...
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RLRRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
This paper addresses two challenges facing samplingbased kinodynamic mo...
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A MultiAgent System Approach to LoadBalancing and Resource Allocation for Distributed Computing
In this research we use a decentralized computing approach to allocate a...
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Programs as Polypeptides
We describe a visual programming language for defining behaviors manifes...
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Hierarchical Composition of Memristive Networks for RealTime Computing
Advances in materials science have led to physical instantiations of sel...
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Exploring Transfer Function Nonlinearity in Echo State Networks
Supralinear and sublinear presynaptic and dendritic integration is cons...
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Product Reservoir Computing: TimeSeries Computation with Multiplicative Neurons
Echo state networks (ESN), a type of reservoir computing (RC) architectu...
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Towards a Calculus of Echo State Networks
Reservoir computing is a recent trend in neural networks which uses the ...
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On Optimal DecisionMaking in Ant Colonies
Colonies of ants can collectively choose the best of several nests, even...
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A Comparative Study of Reservoir Computing for Temporal Signal Processing
Reservoir computing (RC) is a novel approach to time series prediction u...
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DNA Reservoir Computing: A Novel Molecular Computing Approach
We propose a novel molecular computing approach based on reservoir compu...
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Learning Schizophrenia Imaging Genetics Data Via Multiple Kernel Canonical Correlation Analysis
Kernel and Multiple Kernel Canonical Correlation Analysis (CCA) are empl...
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Contradiction measures and specificity degrees of basic belief assignments
In the theory of belief functions, many measures of uncertainty have bee...
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A Unified SVM Framework for Signal Estimation
This paper presents a unified framework to tackle estimation problems in...
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Controlling the PrecisionRecall Tradeoff in Differential Dependency Network Analysis
Graphical models have gained a lot of attention recently as a tool for l...
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General combination rules for qualitative and quantitative beliefs
Martin and Osswald Martin07 have recently proposed many generalizations ...
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Model Selection for Degreecorrected Block Models
The proliferation of models for networks raises challenging problems of ...
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Active Learning for Node Classification in Assortative and Disassortative Networks
In many realworld networks, nodes have class labels, attributes, or var...
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An Annotated Corpus of Relational Strategies in Customer Service
We create and release the first publicly available commercial customer s...
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When Textbook RSA is Used to Protect the Privacy of Hundreds of Millions of Users
We evaluate Tencent's QQ Browser, a popular mobile browser in China with...
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Distributed Symmetry Breaking in Sampling (Optimal Distributed Randomly Coloring with Fewer Colors)
We examine the problem of almostuniform sampling proper qcolorings of ...
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BLEBeacon: A RealSubject Trial Dataset from Mobile Bluetooth Low Energy Beacons
The BLEBeacon dataset is a collection of Bluetooth Low Energy (BLE) adve...
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Improving Classification Rate of Schizophrenia Using a Multimodal MultiLayer Perceptron Model with Structural and Functional MR
The wide variety of brain imaging technologies allows us to exploit info...
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Towards Complex Artificial Life
An objectoriented combinator chemistry was used to construct an artific...
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A New Theoretical Evaluation Framework for Satisfaction Equilibria in Wireless Networks
In this paper, a theoretical evaluation framework regarding the Satisfac...
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In situ TensorView: In situ Visualization of Convolutional Neural Networks
Convolutional Neural Networks(CNNs) are complex systems. They are traine...
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Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis
In (Yang et al. 2016), a hierarchical attention network (HAN) is created...
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Representation Learning by Reconstructing Neighborhoods
Since its introduction, unsupervised representation learning has attract...
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Curricular Analytics: A Framework for Quantifying the Impact of Curricular Reforms and Pedagogical Innovations
In this paper we articulate a framework for quantifying the complexity o...
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Rapid mixing of path integral Monte Carlo for 1D stoquastic Hamiltonians
Path integral quantum Monte Carlo (PIMC) is a method for estimating ther...
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Understanding the Social Factors Affecting the Cryptocurrency Market
Blockchain and its application on cryptocurrency transactions have gathe...
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Directed Formation Control of n Planar Agents with Distance and Area Constraints
In this paper, we take a first step towards generalizing a recently prop...
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A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR)
We present Contextual Query Rewrite (CQR) a dataset for multidomain tas...
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FullyAsynchronous Distributed Metropolis Sampler with Optimal Speedup
The MetropolisHastings algorithm is a fundamental Markov chain Monte Ca...
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Using Dynamic Analysis to Generate Disjunctive Invariants
Program invariants are important for defect detection, program verificat...
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Assessing Post Deletion in Sina Weibo: Multimodal Classification of Hot Topics
Widespread Chinese social media applications such as Weibo are widely kn...
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Computational Design of Skinned QuadRobots
We present a computational design system that assists users to model, op...
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Scalable and Secure Computation Among Strangers: ResourceCompetitive Byzantine Protocols
Motivated, in part, by the rise of permissionless systems such as Bitcoi...
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A multifidelity neural network surrogate sampling method for uncertainty quantification
We propose a multifidelity neural network surrogate sampling method for...
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Defensive Escort Teams via MultiAgent Deep Reinforcement Learning
Coordinated defensive escorts can aid a navigating payload by positionin...
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On the Minimal Set of Inputs Required for Efficient NeuroEvolved Foraging
In this paper, we perform an ablation study of , a neuroevolved foragin...
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A Most Irrational Foraging Algorithm
We present a foraging algorithm, GoldenFA, in which search direction is ...
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Multilevel Initialization for LayerParallel Deep Neural Network Training
This paper investigates multilevel initialization strategies for trainin...
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Simulating collective neutrinos oscillations on the Intel Many Integrated Core (MIC) architecture
We evaluate the secondgeneration Intel Xeon Phi coprocessor based on th...
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HermiteDiscontinuous Galerkin Overset Grid Methods for the Scalar Wave Equation
We present high order accurate numerical methods for the wave equation t...
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Classical Simulation of High Temperature Quantum Ising Models
We consider generalized quantum Ising models, including those which coul...
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Compactly Representing Uniform Interpolants for EUF using (conditional) DAGS
The concept of a uniform interpolant for a quantifierfree formula from ...
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A posteriori Error Estimation for the Spectral Deferred Correction Method
The spectral deferred correction method is a variant of the deferred cor...
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University of New Mexico
Located in beautiful Albuquerque, New Mexico with branch campuses all over the state, UNM offers a variety of challenging programs to a wide variety of students. Check out what's coming to Popejoy, Lobo games, campus museums and the duck pond!