Forward-backward recursive expectation-maximization for concurrent speaker tracking

Forward-backward systems for expected utility maximization

In this paper we deal with the utility maximization problem with a general utility function. We derive a new approach in which we reduce the utility maximization problem with general utility to the study of a fully-coupled Forward-Backward Stochastic Differential Equation (FBSDE). AMS Subject Classification: Primary 60H10, 93E20 JEL Classification: C61, D52, D53

Expectation Maximization of Forward Decoding Kernel Machines

Recursive expectation-maximization (EM) algorithms for time-varying parameters with applications to multiple target tracking

We investigate the application of expectationmaximization (EM) algorithms to the classical problem of multiple target tracking (MTT) for a known number of targets. Conventional algorithms, which deal with this problem, have a computational complexity that depends exponentially on the number of targets, and usually divide the problem into a localization stage and a tracking stage. The new algori...

Forward-backward Correlation for Template-based Tracking

A significant limitation of traditional template-based trackers is their inability to handle out-of-plane rotation, which can cause total self-occlusion of the target. We present a simple extension to template-based tracking that overcomes this problem. A forward correlation-based search for computing the transformation (displacement and scale) between two image frames is augmented with a backw...

Concurrent Cognitive Mapping and Localization Using Expectation Maximization Thesis

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