Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...
Abstract: Annotating gaze is an expensive and time-consuming endeavor, requiring costly eye-trackers or complex geometric calibration procedures. Although some eye-based unsupervised gaze ...
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