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In this talk, we will consider the distributed sparse identification problem over wireless sensor networks such that all sensors cooperatively estimate the unknown sparse parameter vector of stochasti...
When machine-learning models are deployed in real-world situations, perhaps to flag potential disease in X-rays for a radiologist to review, human users need to know when to trust the model’s predicti...
Neural networks, a type of machine-learning model, are being used to help humans complete a wide variety of tasks, from predicting if someone’s credit score is high enough to qualify for a loan to dia...
We consider actuator attacks in a remote control system. Compared with sensor attacks that have been studied in most existing literature, the malicious attacks over actuators can cause more disastrous...
With the advantages of fast calculating speed and high precision, the physics-informed neural network method opens up a new approach for numerically solving nonlinear partial differential equations. B...
Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial transactions, traffic, energy gri...
华南理工大学数据结构与算法课件Chapter15 Branch and Bound Method
One of the basic stages of iris recognition pipeline is iris feature vector construction procedure. The procedure represents the extraction of iris texture information relevant to its subsequent compa...
Because of detailed geometrical components based description, 3D complex building contains the most elaborated perceptual and comprehensive semantic information. However, since the lack of optimal si...
An unfortunate reality for cybersecurity researchers is that real-world data for their research too often comes via a security breach. Now computer scientists have devised a way to let organizations s...
The experience that I want to present consists of the case of piazza Bodoni in Turin, characterized, between 1866 and 1924 by the presence of an original pavilion dedicated to market.
Censorship is one of the greatest threats to open communication on the Internet. Information may be censored by a user’s country of residence or the information’s desired destination. But recent studi...
This article considers the problem of reconstructing cone-beam computed tomography (CBCT) images from a set of undersampled and potentially noisy projection measurements. The authors cast the reconstr...
Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasi...
The use of model checking for validation requires that models of the underlying system be created. Creating such models is both difficult and error prone and as a result, verification is rarely used d...

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