Standard Functional Uniication Grammars (FUGs) provide a structurally guided top-down control regime for sentence generation. When using FUGs to perform content realization as a whole, including lexical choice, this regime is no longer appropriate for two reasons: (1) the uniication of non-lexicalized semantic input with an integrated lexico-grammar requires mapping \\oating" semantic elements ...

Probabilistic latent semantic analysis (pLSA) has been widely used by researchers for human action recognition from video sequences. However, one of the major disadvantages of pLSA and its other extensions is that category labels of training samples are not fully used in model learning procedure for classification task. In this paper, a supervised pLSA (spLSA) model is proposed for overcoming t...

Standard Functional Uniication Grammars (FUGs) provide a structurally guided top-down control regime for sentence generation. When using FUGs to perform content realization as a whole, including lexical choice, this regime is no longer appropriate for two reasons: (1) the uniication of non-lexicalized semantic input with an integrated lexico-grammar requires mapping \\oating" semantic elements ...

Human reasoning goes beyond knowledge about individual entities, extending to inferences based on relations between entities. Here we focus the use of in verbal analogical mapping, sketching a general approach assessing similarity patterns semantic words. This combines research artificial intelligence with work psychology and cognitive science, aim minimizing hand coding text inputs for tasks. ...

Abstract Whilst mapping with UAVs has become an established tool for geodata acquisition in many domains, certain time-critical applications, such as crisis and disaster response, demand fast processing pipelines rather than photogrammetric post-processing approaches. Based on our 3D-capable real-time pipeline, this contribution presents not only array of optimisations the original implementati...

Semantic segmentation of remote sensing images plays a crucial role in wide variety practical applications, including land cover mapping, environmental protection, and economic assessment. In the last decade, convolutional neural network (CNN) is mainstream deep learning-based method semantic segmentation. Compared with conventional methods, CNN-based methods learn features automatically, there...

With the ever growing need of semantically linking data across different domain, organizational and diplomacy boundaries using RDF and OWL, one of the major obstacles impeding the advancement of Semantic Web is the data availability. This paper presents a browser-based semantic mapping tool for converting linked data on the Web to be available for Semantic Web applications. It is aiming at help...