The Resource Space Model (RSM) is a semantic data model based on orthogonal classification semantics for effectively managing various resources in interconnection environment. In p...
Abstract. A medical-meteorological weather assessment using hybrid spatial classification of synoptic and meteorological data was done. Empirical models for assessment as well as ...
Arvydas Martinkenas, Vytautas Kaminskas, Giedrius ...
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
The deep layers of the superior colliculus (DSC) integrate multisensory input and initiate an orienting response toward the source of stimulation. Multisensory response enhancemen...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signi...