Adaptive autonomous agents have to learn about the effects of their actions so as to be able to improve their performance and adapt to long term changes. The problem of correlating actions with changes in sensor data is O(n 2 ) and therefore computationally infeasible for any non-trivial application. We propose to make this problem more manageable by using focus of attention. In particular, we ...

Processing of multi-word expressions (MWEs) is a known problem for any natural language processing task. Even neural machine translation (NMT) struggles to overcome it. This paper presents results of experiments on investigating NMT attention allocation to the MWEs and improving automated translation of sentences that contain MWEs in English→Latvian and English→Czech NMT systems. Two improvemen...

Artistic painting of human portraits are more challenging than landscapes or flowers. Challenges are eye and nose areas where we need to avoid alterations from their natural appearance. Shades or darkness around eyes, or shininess at the nose tip may negatively impact the rendering result if not properly dealt with. The proposed computerized method attempts to be adaptive to those sensitive are...

Localist models of, for example, the classification of multidimensional stimuli, can run into problems if generalization is attempted when many of the stimulus dimensions are irrelevant to the classification task in hand. A procedure is suggested by which a localist model can learn prototype representations that focus on the relevant dimensions only. These permit good generalization which would...

It has been stated frequently that the soundscape as perceived and appraised by the user of a space, extends beyond the physical stimulus. We argue that, when introducing to human-factor in analyzing a sonic environment, the sounds that people hear play an important role. This holds in particular for rather quiet and infrequent disturbance of park soundscapes. Auditory attention mechanisms are ...

In adult readers, letters, and words are rapidly identified within visual networks to allow for efficient reading abilities. Neuroimaging studies of orthography have mostly used words and letter strings that recruit many hierarchical levels in reading. Understanding how single letters are processed could provide further insight into orthographic processing. The present study investigated orthog...