We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
The emergence of heterogeneous many core architectures presents a unique opportunity for delivering order of magnitude performance increases to high performance applications by ma...
—Service-Oriented Architecture (SOA) is a popular design paradigm for distributed systems today. Its dynamics and loose coupling are predestined for self-adaptive systems. This a...
Depending on the physical structuring of large distributed safety-critical real-time systems, one can distinguish federated and integrated system architectures. The DECOS architec...
Philipp Peti, Roman Obermaisser, Fulvio Tagliabo, ...