Observe that the integrals

We prove that the density function of the gradient of a sufficiently smooth function $S : \Omega \subset \mathbb{R}^d \rightarrow \mathbb{R}$, obtain…

Many interactions between network users rely on trust, which is becoming particularly important given the security breaches in the Internet today. Th…

Device-to-device (D2D) communications over licensed wireless spectrum has been recently proposed as a promising technology to meet the capacity crunc…

Block coordinate descent methods and stochastic subgradient methods have been extensively studied in optimization and machine learning. By combining …

EASAL (efficient atlasing and sampling of assembly landscapes) is a recently reported geometric method for representing, visualizing, sampling and co…

In Intelligent Transportation System, real-time systems that monitor and analyze road users become increasingly critical as we march toward the smart…

Optimal recursive decomposition (or DR-planning) is crucial for analyzing, designing, solving or finding realizations of geometric constraint sytems.…

In this paper, we aim to develop a novel mechanism to preserve differential privacy (DP) in adversarial learning for deep neural networks, with prova…

Hyperspectral unmixing while considering endmember variability is usually performed by the normal compositional model (NCM), where the endmembers for…

The inability to interpret the model prediction in semantically and visually meaningful ways is a well-known shortcoming of most existing computer-ai…

We develop three efficient approaches for generating visual explanations from 3D convolutional neural networks (3D-CNNs) for Alzheimer's disease clas…

We study a difficult problem of how to schedule complex workflows with precedence constraints under a limited budget in the cloud environment. We fir…

For a twice continuously differentiable function $S$, we define the density function of its gradient (derivative in one dimension) $s = S^{\prime}$ a…

Many networks including social networks, computer networks, and biological networks are found to divide naturally into communities of densely connect…

Supervised contour detection methods usually require many labeled training images to obtain satisfactory performance. However, a large set of annotat…

We prove a novel result wherein the density function of the gradients---corresponding to density function of the derivatives in one dimension---of a …

Existence of incomplete and imprecise data has moved the database paradigm from deterministic to proba- babilistic information. Probabilistic databas…

In this paper, we explore the partitioning attacks on the Bitcoin network, which is shown to exhibit spatial bias, and temporal and logical diversity…

Traditional language models treat language as a finite state automaton on a probability space over words. This is a very strong assumption when model…

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