We present a model and a core programming language appropriate for modeling and programming interactive computing systems. The model consists of rv-systems (interactive systems wit...
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
— Designing and implementing artificial self-organizing systems is a challenging task since they typically behave nonintuitive and no theoretical foundations exist. Predicting a...