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Found 4 papers, 0 papers with code
Addressing practical challenges in Active Learning via a hybrid query strategy
Inspired by these practical challenges, we present a hybrid query strategy-based AL framework that addresses three practical challenges simultaneously: cold-start, oracle uncertainty and performance evaluation of Active Learner in the absence of ground truth.
Dictionary learning approach to monitoring of wind turbine drivetrain bearings
In this study, dictionaries are learned from gearbox vibrations in six different turbines, and the dictionaries are subsequently propagated over a few years of monitoring data when faults are known to occur.
Dictionary Learning with Equiprobable Matching Pursuit
Sparse signal representations based on linear combinations of learned atoms have been used to obtain state-of-the-art results in several practical signal processing applications.
Towards zero-configuration condition monitoring based on dictionary learning
In this paper, we investigate the possibility to automate the condition monitoring process by continuously learning a dictionary of optimized shift-invariant feature vectors using a well-known sparse approximation method.
