
Dimension of Reservoir Computers
A reservoir computer is a complex dynamical system, often created by cou...
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An Exact Reformulation of FeatureVectorbased RadialBasisFunction Networks for Graphbased Observations
Radialbasisfunction networks are traditionally defined for sets of vec...
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Radon cumulative distribution transform subspace modeling for image classification
We present a new supervised image classification method for problems whe...
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Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions
We present a neural network architecture based upon the Autoencoder (AE)...
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Defending Tor from Network Adversaries: A Case Study of Network Path Prediction
The Tor anonymity network has been shown vulnerable to traffic analysis ...
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SuperConvergence: Very Fast Training of Residual Networks Using Large Learning Rates
In this paper, we show a phenomenon, which we named "superconvergence",...
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Exploring loss function topology with cyclical learning rates
We present observations and discussion of previously unreported phenomen...
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Deep Convolutional Neural Network Design Patterns
Recent research in the deep learning field has produced a plethora of ne...
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Gradual DropIn of Layers to Train Very Deep Neural Networks
We introduce the concept of dynamically growing a neural network during ...
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Cyclical Learning Rates for Training Neural Networks
It is known that the learning rate is the most important hyperparameter...
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Fast Stochastic Hierarchical Bayesian MAP for Tomographic Imaging
Any image recovery algorithm attempts to achieve the highest quality rec...
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Generative NeuroEvolution for Deep Learning
An important goal for the machine learning (ML) community is to create a...
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CostOptimal Algorithms for Planning with Procedural Control Knowledge
There is an impressive body of work on developing heuristics and other r...
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Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images
We consider the problem of scale detection in images where a region of i...
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Transforming Graph Representations for Statistical Relational Learning
Relational data representations have become an increasingly important to...
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Multiclass Diffuse Interface Models for SemiSupervised Learning on Graphs
We present a graphbased variational algorithm for multiclass classifica...
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Improving Image Clustering using Sparse Text and the Wisdom of the Crowds
We propose a method to improve image clustering using sparse text and th...
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How to find realworld applications for compressive sensing
The potential of compressive sensing (CS) has spurred great interest in ...
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How Better is Distributed SDN? An Analytical Approach
Distributed softwaredefined networks (SDN), consisting of multiple inte...
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Codes Correcting Two Deletions
In this work, we investigate the problem of constructing codes capable o...
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Web application for size and topology optimization of trusses and gusset plates
With its ever growing popularity, providing Internet based applications ...
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ModelBased Stochastic Search for Large Scale Optimization of MultiAgent UAV Swarms
Recent work from the reinforcement learning community has shown that Evo...
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A disciplined approach to neural network hyperparameters: Part 1  learning rate, batch size, momentum, and weight decay
Although deep learning has produced dazzling successes for applications ...
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Reconciling Similar Sets of Data
In this work, we consider the problem of synchronizing two sets of data ...
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A survey of advances in epistemic logic program solvers
Recent research in extensions of Answer Set Programming has included a r...
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Understanding Tor Usage with PrivacyPreserving Measurement
The Tor anonymity network is difficult to measure because, if not done c...
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SDFW: SDNbased Stateful Distributed Firewall
SDN provides a programmable command and control networking system in a m...
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Automatic Thresholding of SIFT Descriptors
We introduce a method to perform automatic thresholding of SIFT descript...
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Reduction of Markov Chains using a ValueofInformationBased Approach
In this paper, we propose an approach to obtain reducedorder models of ...
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Strand Spaces with Choice via a Process Algebra Semantics
Roles in cryptographic protocols do not always have a linear execution, ...
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Ship classification from overhead imagery using synthetic data and domain adaptation
In this paper, we revisit the problem of classifying ships (maritime ves...
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Image quality assessment for determining efficacy and limitations of SuperResolution Convolutional Neural Network (SRCNN)
Traditional metrics for evaluating the efficacy of image processing tech...
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Mutual Information and the Edge of Chaos in Reservoir Computers
A reservoir computer is a dynamical system that may be used to perform c...
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Distributed Streaming Analytics on Largescale Oceanographic Data using Apache Spark
Realworld data from diverse domains require realtime scalable analysis...
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RepeatFree Codes
In this paper we consider the problem of encoding data into repeatfree ...
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Optimizing the Transition Waste in Coded Elastic Computing
Distributed computing, in which a resourceintensive task is divided int...
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Penalized kmeans algorithms for finding the correct number of clusters in a dataset
In many applications we want to find the number of clusters in a dataset...
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A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks
Machine learning techniques are currently used extensively for automatin...
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A HamiltonJacobi Formulation for Optimal Coordination of Heterogeneous Multiple Vehicle Systems
We present a method for optimal coordination of multiple vehicle teams w...
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Empirical Perspectives on OneShot Semisupervised Learning
One of the greatest obstacles in the adoption of deep neural networks fo...
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FlashFlow: A Secure Speed Test for Tor
The Tor network uses a measurement system to estimate its relays' forwar...
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Reachability as a Unifying Framework for Computing Helicopter Safe Operating Conditions and Autonomous Emergency Landing
We present a numeric method to compute the safe operating flight conditi...
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Consensus Driven Learning
As the complexity of our neural network models grow, so too do the data ...
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Optimal assignment of collaborating agents in multibody assetguarding games
We study a multibody assetguarding game in missile defense where teams...
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Building OneShot Semisupervised (BOSS) Learning up to Fully Supervised Performance
Reaching the performance of fully supervised learning with unlabeled dat...
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Establishing Reliable Robot Behavior using Capability Analysis Tables
Robots are often so complex that one person may not know all the ins and...
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U.S. Navy
The United States Navy is the naval warfare service branch of the United States Armed Forces and one of the seven uniformed services of the United States.