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Found 2 papers, 1 papers with code
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
To fill this gap, we present a predictive model based on a convolutional kernel (MiniROCKET and HYDRA) to extract features from the original event-log data and a linear classifier to classify the sample based on the learned features.
Shopper Analytics: a customer activity recognition system using a distributed RGB-D camera network
The aim of this paper is to present an integrated system consisted of a RGB-D camera and a software able to monitor shoppers in intelligent retail environments.
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