Hierarchical Model for Long-term Video Prediction

Learning to Generate Long-term Future via Hierarchical Prediction

We propose a hierarchical approach for making long-term predictions of future frames. To avoid inherent compounding errors in recursive pixellevel prediction, we propose to first estimate highlevel structure in the input frames, then predict how that structure evolves in the future, and finally by observing a single frame from the past and the predicted high-level structure, we construct the fu...

Short Term Prediction of Highway Travel Time Using Data Mining and Neuro-fuzzy Methods

We show that prediction of travel time on a 28-km long highway section based on on-line travel time measurements with video is practicable by data mining and neuro-fuzzy methods. We introduce two new prediction models. The first one is a result of GUHA style data mining analysis and Total Fuzzy Similarity method, and the second one is a hierarchical model based on neuro-fuzzy modelling. Compari...

O13: Common Pitfalls in Pediatric Long-Term Video-EEG Monitoring

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Hierarchical Alpha-cut Fuzzy C-means, Fuzzy ARTMAP and Cox Regression Model for Customer Churn Prediction

As customers are the main asset of any organization, customer churn management is becoming a major task for organizations to retain their valuable customers. In the previous studies, the applicability and efficiency of hierarchical data mining techniques for churn prediction by combining two or more techniques have been proved to provide better performances than many single techniques over a nu...

Short-term and Long-term Impact of Video-driven Metapragmatic Awareness Raising on Speech Act Production: A Case of Iranian Interme-diate EFL Learners