This paper presents a grammar formalism in which constituent graphs are unions of a continuous surface tree and a discontinuous deep tree. The formalism has an object-oriented desi...
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
We present a biologically plausible computational model for solving the visual feature binding problem. The binding problem appears to be due to the distributed nature of visual pr...
The aim of this paper is to develop accurate and reliable methods for automated detection of the edges of the lung by a knowledge-based approach. First, the system initialises the...
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...