Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
Abstract. The problem of reconstructing a discrete set from its horizontal and vertical projections (RSP) is of primary importance in many different problems for example pattern re...
This paper presents a non parametric method for classifying interactions between two people as taken from a video camera. A nearest neighbour classifier that uses trajectory matchi...
Scott Blunsden, Ernesto L. Andrade, Robert B. Fish...
In many applications, objects are represented by a collection of unorganized points that scan the surface of the object. In such cases, an efficient way of storing this information...