Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
Abstract— Software component technologies are being accepted as an adequate solution for handling the complexity of applications. However, existing software component models tend...
Gabriel Antoniu, Hinde-Lilia Bouziane, Mathieu Jan...
Model-driven development (MDD) is an emerging paradigm that uses domain-specific modeling languages (DSMLs) and generative technologies to provide "correct-by-construction&quo...
Krishnakumar Balasubramanian, Arvind S. Krishna, E...
Both the material usage and the complexity of the cutting process should be considered in generating cutting patterns. This paper presents an exact algorithm for constrained two-d...