The process of fixation identification--separating and labeling fixations and saccades in eye-tracking protocols--is an essential part of eye-movement data analysis and can have a...
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
We explore the problem of secret-key distribution in unidirectional channels, those in which a sender transmits information blindly to a receiver. We consider two approaches: (1) ...
In this paper, we propose a novel graph embedding method for the problem of lipreading. To characterize the temporal connections among video frames of the same utterance, a new di...