This paper describes subspace constrained feature space maximum likelihood linear regression (FMLLR) for rapid adaptation. The test speaker’s FMLLR rotation matrix is decomposed...
Many web databases are hidden behind restrictive form-like interfaces which may or may not provide domain information for an attribute. When attribute domains are not available, d...
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Abstract—One of the key concepts of service-oriented computing is dynamic binding which favors on-demand integration of services into a running system. Companies can outsource ta...
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...