Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
We would like to show that the collective production of knowledge and the individual creation of its organizational casting mould, which is therefore incapable of following the gr...
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
Alban P. M. Tsui, Antonia J. Jones, A. Guedes de O...
Abstract. Augmenting web pages with semantic contents, i.e., building a ‘Semantic Web’, promises a number of benefits for web users in general and learners in particular. Seman...
Modeling and visualization of city scenes is important for many applications including entertainment and urban mission planning. Models covering wide areas can be efficiently cons...