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Effect Of Personalized Calibration On Gaze Estimation Using Deep-Learning
We trained a multi modal convolutional neural network and analysed its performance with and without calibration and this evaluation provides clear insights on how calibration improved the performance of the Deep Learning model in estimating gaze in the wild.
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data
In this paper, we address the challenging problem of learning from imbalanced data using a Nearest-Neighbor (NN) algorithm.
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