We propose a new algorithm for the estimation of functional activations in diffuse optical imaging. Our approach considers the activations to be support limited. We simultaneously...
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Use case models are used in object-oriented analysis for capturing and describing the functional requirements of a system. Several methods for estimating software development effor...
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
This paper presents an approach for a multi-cue based two-dimensional gesture recognition that combines two different forms of cues, namely shape cues and motion cues, in a suppor...