Recent years have seen a growing interest in research into patent retrieval. One of the key issues in conducting information retrieval (IR) research is meaningful evaluation of the effectiveness of the retrieval techniques applied to task under investigation. Unlike many existing well explored IR tasks where the focus is on achieving high retrieval precision, patent retrieval is to a significan...

Optical imaging studies of somatosensory cortex (SI) in primates has led to re-evaluation of our understanding of cortical functional organization. This chapter describes findings showing that somatosensory topography, long a foundation of cortical function, may not be as precise in the awake monkey, suggesting a re-evaluation of the relationship between topographic representation and sensory p...

Deep learning techniques have recently been experimented for map generalization. Although promising, these experiments raise new problems regarding the evaluation of output images. Traditional generalization cannot directly be applied to results in a raster format. Additionally, internal used by deep models is mostly based on realism images and accuracy pixels, none criteria sufficient evaluate...

In this paper we present the novel SD-Map algorithm for exhaustive but efficient subgroup discovery. SD-Map guarantees to identify all interesting subgroup patterns contained in a data set, in contrast to heuristic or samplingbased methods. The SD-Map algorithm utilizes the well-known FP-growth method for mining association rules with adaptations for the subgroup discovery task. We show how SD-...

The paper presents methodology for the incremental map formation in a multi-stage process of a search engine with the map based user interface. The architecture of the experimental system allows for comparative evaluation of different constituent technologies for various stages of the process. The quality of the map generation process has been investigated based on a number of clustering and cl...