Abstract—A general variational framework for image approximation and segmentation is introduced. By using a continuous “line-process” to represent edge boundaries, it is poss...
The primary aim of most data mining algorithms is to facilitate the discovery of concise and interpretable information from large amounts of data. However, many of the current for...
—In this paper implicit representations of deformable models for medical image enhancement and segmentation are considered. The advantage of implicit models over classical explic...
Wiro J. Niessen, Bart M. ter Haar Romeny, Max A. V...
Abstract: We introduce a unified framework to describe, relate, compare and classify functional language implementations. The compilation process is expressed as a succession of p...
Abstract—This paper presents the analysis of motion of a redundant anthropomorphic arm during the writing. The modeling is based on the separation of the prescribed movement into...