Physically based dynamic models are able to describe variable shapes without prior training. Their behaviour to find an object is intuitive, which facilitates corrections of false...
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
The increase of IEEE 802.11’s bandwidth led to a deployment of many multimedia applications over wireless networks. Nevertheless, these applications impose stringent constraints...
New devices gaining access to the Internet need to obtain multimedia content adapted to their limited capacities. Scalable formats allow to retrieve different versions of a single...
This paper investigates adapting a lexicalized probabilistic context-free grammar (PCFG) to a novel domain, using maximum a posteriori (MAP) estimation. The MAP framework is gener...