Results 11 to 20 of about 520,043 (261)
Signal Recovery by Stochastic Optimization [PDF]
We discuss an approach to signal recovery in Generalized Linear Models (GLM) in which the signal estimation problem is reduced to the problem of solving a stochastic monotone variational inequality (VI). The solution to the stochastic VI can be found in a computationally efficient way, and in the case when the VI is strongly monotone we derive finite ...
Juditsky, Anatoli, Nemirovski, Arkadii
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Demosaicing using optimal recovery [PDF]
Color images in single-chip digital cameras are obtained by interpolating mosaiced color samples. These samples are encoded in a single-chip charge-coupled device by sampling the light after it passes through a color filter array (CFA) that contains different color filters (i.e., red, green, and blue) placed in some pattern.
D. Darian Muresan, Thomas W. Parks
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On the Optimal Recovery of Graph Signals
Learning a smooth graph signal from partially observed data is a well-studied task in graph-based machine learning. We consider this task from the perspective of optimal recovery, a mathematical framework for learning a function from observational data that adopts a worst-case perspective tied to model assumptions on the function to be learned. Earlier
Simon Foucart, Chunyang Liao, Nate Veldt
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An Optimal Tree-Structured Repair Scheme of Multiple Failure Nodes for Distributed Storage Systems
To reduce recovery cost of repairing multiple failed nodes, many repair schemes have been proposed for erasure codes based distributed storage systems. However, most of the existing researches ignore the network topology of storage devices.
Anan Zhou +3 more
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The role of multi-fidelity modelling in adaptation and recovery of engineering systems
Significant research has been conducted in identifying optimal recovery and adaptation decisions in disruptive scenarios using engineering models. In this context, an aspect that has been target of limited research is that of response times. Modelling is
Rui Teixeira +4 more
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Optimizing Quantization for Lasso Recovery
This letter is focused on quantized Compressed Sensing, assuming that Lasso is used for signal estimation. Leveraging recent work, we provide a framework to optimize the quantization function and show that the recovered signal converges to the actual signal at a quadratic rate as a function of the quantization level.
Xiaoyi Gu +5 more
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Determination of the optimal heat exchanger configuration for wastewater heat recovery [PDF]
The work aims to increase the efficiency of the hot water supply system based on local recovery of the heat of wastewater generated in the shower room for preheating cold water.
Soloveva Olga +4 more
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Optimal Analgesia for Breast Surgery Enhanced Recovery in Day Surgery
Aesthetic breast surgery is the most common body surgery at Bagatin Polyclinic. During 2020 and 2021, altogether 274 cosmetic surgeries were performed on the breasts.
Dinko Bagatin +5 more
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Optimal Operational Profiles in an Electrodialysis Unit for Ion Recovery
Electrodialysis is an efficient process for the cleaning of industrial water effluent streams from toxic ionic substances with the simultaneous recovery of valuable ions for reuse.
Athanasios Latinis +2 more
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The optimal size of a diversion structure should be carefully studied to ensure economic viability and safety during construction. In practice, to determine the size of a diversion structure, design flood frequency is selected as the suggested return ...
Wonpyo Hong, Taesoo Eum, Chang Geun Song
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