Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction

Abstract of " Supporting and Leveraging Prediction Models for Database Supporting and Leveraging Prediction Models for Database Applications

of “Supporting and Leveraging Prediction Models for Database Applications”, by Mert Akdere, Ph.D., Brown University, May 2012. Model-based, data-driven prediction is emerging as an essential ingredient for both userfacing applications, such as predictive analytics, and system-facing applications such as autonomic computing. This thesis studies the two complementary research questions of how to ...

Spatial, Structural and Temporal Feature Learning for Human Interaction Prediction

Predicting an interaction before it is fully executed is very important in applications such as human-robot interaction and video surveillance. In a two-human interaction scenario, there often contextual dependency structure between the global interaction context of the two humans and the local context of the different body parts of each human. In this paper, we propose to learn the structure o...

Context-Aware Ranking with Factorization Models

Context Speciic Interaction Models

Interaction models for categorical data play a central role in applied statistics. In particular, decomposable models have obtained a dominant position as the basis for structural learning and the development of eecient computational algorithms in connection with Bayesian networks for decision support. The present paper generalizes decompos-able models to cover log linear models, where interact...

Leveraging Noisy Lists for Social Feed Ranking

Active users of social networks are subjected to extreme information overload, as they tend to follow hundreds (or even thousands of other users). Aggregated social feeds on sites like Twitter are insufficient, showing superfluous content and not allowing users to separate their topics of interest or place a priority on the content being pushed to them by their “friends.” The major social netwo...