In this paper, we propose a novel spatial variation modeling method based on robust dictionary learning for nanoscale integrated circuits.
Abstract— In this paper, we propose a novel spatial variation modeling method based on robust dictionary learning for nanoscale integrated circuits.
In this paper, we propose a real-time robust object tracking method that is based on a generative visual appearance model but with some level of background ...
In this paper, we propose a new technique to achieve accurate decomposition of process variation by efficiently performing spatial pattern analysis.
We propose an efficient and robust discriminant analysis-synthesis dictionary pair learning (ERDDPL) method for pattern classification.
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May 25, 2023 · Here we introduce 'bridge integration', a method to integrate single-cell datasets across modalities using a multiomic dataset as a molecular bridge.
First, we propose a novel sparse coding and dictionary learning approach for image classification that exploit spatial locality information by regularizing the ...
Sep 4, 2024 · Results show that the proposed methods are very effective and robust in selecting efficient sampling locations for geotechnical site ...
The proposed method starts with the construction of a dictionary that draws the dominant spatially varying patterns from a property measured at sites with ...
A distributed dictionary learning method is proposed for process monitoring. The method can detect the small fault of high dimensional process efficiently.