We describe methods to “unfold” and flatten the curved, convoluted surfaces of the brain in order to study the functional architectures and neural maps embedded in them. In order to do this, it is necessary to solve the general mapmaker’s problem for representing curved surfaces by planar models. This algorithm has applications in areas other than computer-aided neuroanatomy, such as robotics m...

Negotiation is a general concept that has wide range of applications that span various contexts. This paper introduces the Negotiation analysis pattern. This pattern aims to provide a model that analyzes the core concept of the negotiation independent of any application. In order to achieve this goal, Negotiation pattern is built based on the concepts of Stable Analysis Patterns we have introdu...

A one-pass algorithm is presented to perform region expansion in images that are represented by quadtrees. The algorithm Manuscript received June 27, 1988; revised January 30, 1990. Recommended for acceptance by C. R. Dyer. This work was supported by the National Science Foundation under Grant IRI-88-02457. C.-H. Ang is with the Department of Computer Science, National University of Singapore, ...

In this work we present a method for the estimation of a rank-one pattern living in two heterogeneous spaces, when observed through a mixture in multiple observation sets. Using a well chosen representation for an observed set of second order tensors (matrices), a singular value decomposition of the set structure yields an accurate estimate under some widely acceptable conditions. The method pe...

In this paper, we propose the Trust stable analysis pattern. The objective of this pattern is to provide a conceptual model that embodies the main aspects of the trust concept. The level of abstraction of the Trust pattern makes it applicable for a wide spectrum of applications. “...trust is a social good to be protected just as much as the air we breathe or the water we drink. When it is damag...

A new method for shape learning is presented in this paper. This method incorporates abilities from both statistical and structural pattern recognition approaches to shape analysis. It borrows from statistical pattern recognition the capability of modelling sets of point coordinates, and from structural pattern recognition the ability of dealing with highly irregular patterns, such as those gen...