In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
If parallelism can be successfully exploited in a program, significant reductions in execution time can be achieved. However, if sections of the code are dominated by parallel ove...
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
: While delay modeling of gates with a single switching input has received considerable attention, the case of multiple inputs switching in close temporal proximity is just beginni...
In this paper, we present a novel method for efficient 3D model comparison. The method matches highly deformed models by comparing topological and geometric features. First, we pr...