In order to deal with a large amount of information carried by visual inputs entering the brain at any given point in time, the brain swiftly uses the same inputs to enhance processing in one part of visual field at the expense of the others. These processes, collectively called bottom-up attentional selection, are assumed to solely rely on feedforward processing of the external inputs, as it i...

Technologies have started to overlap new virtual communication and information layers on top of the urban physical territory, thus bringing along distinct possibilities of social organization. Regarding this phenomenon and intending to achieve improvement in a great variety of fields from Politics to Urban Planning, the terms of Smart or Digital Cities among others have been adopted, still with...

The recognition of facial affect is a core component of social cognition and is influenced by bottom-up and topdown processes. Spatial frequency-specific processing is a fundamental mechanism underpinning visual perception that also contributes to emotion processing. Yet, it remains relatively unclear how this bottom-up process modulates analysis of affect signals. In this study, face images we...

Research on logic based bottom-up parsing in particular, around Constraint Handling Rule Grammars [3]is uncovering shape as an untapped fertile ground for natural language processing in general, and for bottom-up parsing and grammar induction in particular [1]. For instance, commonalities between shapes implicit in molecular biology strings and in natural language strings motivated an award win...

●Use beam search and Dynamic Programming techniques. Bottom-up Approximation State of the art Tree Structures Prediction techniques rely on bottom-up decoding. These approaches allow the use of context-free features and a bottom-up approximation of contextual features. With this paper we: ●Discuss the limitations of mainstream techniques in solving common Natural Language Processing tasks ●Devi...