— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
This research further develops the light field and lumigraph imagebased rendering methods and extends their utility. We present alternate parameterizations that permit 1) interac...
Aaron Isaksen, Leonard McMillan, Steven J. Gortler
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Exaggeration is often used in art and entertainment to capture the interest and attention of an audience. We present an approach to automatically exaggerate the distinctive featur...
We study a refined framwork of parameterized complexity theory where the parameter dependendence of fixed-parameter tractable algorithms is not arbitrary, but restricted by a fu...