We present a new family of linear time algorithms based on sufficient statistics for string comparison with mismatches under the string kernels framework. Our algorithms improve t...
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Very few crowds consist of individuals who are exactly the same. Defining variables, such as age, and how they affect an individual's movement, could increase realism in simu...
D. J. Kaup, Thomas L. Clarke, Rex Oleson, Linda C....
Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children rec...
David M. Sobel, Joshua B. Tenenbaum, Alison Gopnik
We have acquired panelist data that provides hedonic (liking) ratings for a set of 40 flavors each composed of the same 7 ingredients at different concentration levels. Our goal...
Kalyan Veeramachaneni, Katya Vladislavleva, Matt B...