We implement methods from computational homology to obtain a topological signal of singularity formation in a selection of geometries evolved numeric…

Energy stored in the magnetic field in the solar atmosphere above active regions is a key driver of all solar activity (e.g., solar flares and corona…

The main aim of this paper is to extend the semiparametric inference methodology, recently investigated for Real Elliptically Symmetric (RES) distrib…

Superpixel-based Higher-order Conditional random fields (SP-HO-CRFs) are known for their effectiveness in enforcing both short and long spatial conti…

Following his discovery that finite metric spaces have injective envelopes naturally admitting a polyhedral structure, Isbell, in his pioneering work…

Assessing the predictive accuracy of black box classifiers is challenging in the absence of labeled test datasets. In these scenarios we may need to …

Under a magnetic field perpendicular to an monolayer graphene, the existence of a two-dimensional periodic scatter array can not only mix Landau leve…

The time-temperature response of porcine tissue to laser radiation exposure is investigated as a function of wavelength. We experimentally measure th…

Driven by successes in deep learning, computer vision research has begun to move beyond object detection and image classification to more sophisticat…

Some recent works revealed that deep neural networks (DNNs) are vulnerable to so-called adversarial attacks where input examples are intentionally pe…

In order to formulate mathematical conjectures likely to be true, a number of base cases must be determined. However, many combinatorial problems are…

We present a novel control strategy for a team of unmanned aerial vehicles (UAVs) to autonomously achieve a desired formation using only visual feedb…

In this paper, a general cognitive radio system consisting of a set of users with different level of spectrum access including two primary transceive…

A framework for multichain steady-state policy synthesis was set forth for deriving policies that satisfy constraints on the steady-state behavior of the agent. A linear programming solution was proposed and its correctness is proved for classes of …

The planning domain has experienced increased interest in the formal synthesis of decision-making policies. This formal synthesis typically entails f…

Detecting objects in aerial images is challenging for at least two reasons: (1) target objects like pedestrians are very small in terms of pixels, ma…

This work introduces a tensor-based method to perform supervised classification on spatiotemporal data processed in an echo state network. Typically …

As a high resolution radar imaging modality, SAR detects and localizes non-moving targets accurately, giving it an advantage over lower resolution GM…

We extend the generalized approximate message passing (G-AMP) approach, originally proposed for high-dimensional generalized-linear regression in the…

Echo state networks are a recently developed type of recurrent neural network where the internal layer is fixed with random weights, and only the out…

Measurements of energy-resolved positron-molecule annihilation show the existence of positron binding and vibrational Feshbach resonances. The existi…

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