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We are offering a method to improve classification performance of the k nearest neighbors algorithm when the neighborhood is large. Our method limits the number of considered neighbors from the training set by selecting only those samples which would be neighbors in the computed Voronoi diagram of the training set plus classified sample.
This paper presents a methodology based on rough set theory that can be used to identify those newborn with congenital heart diseases for which performing the test is redundant or superfluous. Pawlak introduced rough set theory in the early 1980s as a tool for representing and reasoning about imprecise or uncertain information. Our method depends on cardiac morphologic measurement algorithms for diagnosis...
The paper overviews a vision-based technique that can be instrumental in assisting visually impaired humans in their activities. This category includes both blind people and individuals unable (e.g. due to neural disabilities) to understand semantics of the perceived visual data. Alternatively, the technique can be used as a tool for autonomous agents (e.g. mobile robots) performing in complex environments...
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