In this paper we propose an approach to vehicle classification under a mid-field surveillance framework. We develop a repeatable and discriminative feature based on edge points an...
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
Collaborative systems evaluation is necessary in several situations. However, evaluation is frequently done in an ad-hoc manner or not at all. This paper presents a survey of evalu...
Ontologies are the core component in semantic Web applications. The employment of an ontology building method affects the quality of ontology and the applicability of ontology lang...
Sari Hakkarainen, Darijus Strasunskas, Lillian Hel...
Both example-based and model-based approaches for classifying contour shapes can encounter difficulties when dealing with classes that have large nonlinear variability, especially...