In the paper we derive and discuss a wide class of algorithms for 3D Super-symmetric nonnegative Tensor Factorization (SNTF) or nonnegative symmetric PARAFAC, and as a special case...
Andrzej Cichocki, Marko Jankovic, Rafal Zdunek, Sh...
— Management of power and other resources that effect field life is an important consideration in sensor networks. This paper presents and compares alternative agent paradigms ap...
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
The Valued (VCSP) framework is a generic optimization framework with a wide range of applications. Soft arc consistency operations transform a VCSP into an equivalent problem by s...
Abstract—Adaptive middleware and wireless networks are hot topics in many discussions today. Literature describes a lot of approaches which are based upon existing middleware tec...