This paper describes the conceptual and algorithmic evolutions of Memory Based Parametric Equalization (MPEQ) needed to exploit the potentialities of the method within the state-o...
Abstract. Variant parametric types (VPT) represent the successful result of combining subtype polymorphism with parametric polymorphism to support a more flexible subtyping for Ja...
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non line...
ParSketch is a software prototype to evaluate the usability and functionality of a sketching interface aimed at defining 2D parametric sections. Currently, ParSketch interprets str...
Ferran Naya, Manuel Contero, Nuria Aleixos, Pedro ...
This study evaluates a robust parametric modeling approach for computer-aided detection (CAD) of vertebrae column metastases in whole-body MRI. Our method involves constructing a m...
Anna K. Jerebko, G. P. Schmidt, Xiang Sean Zhou, J...