Compatibilities for Boundary Extraction

Perceptual organization with image formation compatibilities

The work presents a methodology contributing to boundary extraction in images of approximate polyhedral objects. We make extensive use of basic principles underlying the process of image formation and thus reduce the role of object-specific knowledge. Simple configurations of line segments are extracted subject to geometricphotometric compatibilities. The perceptual organization into polygonal ...

Compatibilities for Boundary Extra tion

Feature extraction of hyperspectral images using boundary semi-labeled samples and hybrid criterion

Feature extraction is a very important preprocessing step for classification of hyperspectral images. The linear discriminant analysis (LDA) method fails to work in small sample size situations. Moreover, LDA has poor efficiency for non-Gaussian data. LDA is optimized by a global criterion. Thus, it is not sufficiently flexible to cope with the multi-modal distributed data. We propose a new fea...

Biomedical named entity extraction: some issues of corpus compatibilities

BACKGROUND Named Entity (NE) extraction is one of the most fundamental and important tasks in biomedical information extraction. It involves identification of certain entities from text and their classification into some predefined categories. In the biomedical community, there is yet no general consensus regarding named entity (NE) annotation; thus, it is very difficult to compare the existing...

A Computational PDP Model for Explaining Automatic Imitation

Recent evidence suggests that automatic imitation is mediated by an observation-execution matching system that cannot be reduced to the same processes responsible for other stimulusresponse (S-R) compatibilities. A computational model is developed with different patterns of connectivity for imitative and spatial compatibilities, and it is successful in simulating the results from three differen...