SUMMARYOne of the problems in the study of image recognition is to extract the global structure, e.g., the contour of the object, with a high reliability. There already exists a technique in which the model figure is pre-determined. This gives a fairly satisfactory result. It is essentially desirable, however, that the system can handle the unknown figure.This study considers a approach to such a problem, where the perceptual grouping as pointed out by Gestalt psychologists is applied. More precisely, the method is as follows. The connected component elements are extracted from the input image. Then, based on the factors for perceptual grouping (such as proximity, similarity, good continuity and closure), which are quantitatively given expressions by the psychological experiment conducted by the authors, elements which have high possibilities of forming a global structure are determined and connected, based on such information as relative position of elements.Using the evaluation function, the optimal candidate for the figure is extracted from the result. When observing overlapped multiple figures, a human can separate the figures (figure segmentation). This aspect also is considered in this study. The foregoing idea is implemented on a computer. Simulation experiments are made for several patterns, and the operation of the proposed system is verified.
Part 5: Industrial Management and Other ApplicationsInternational audienceIn this research, a new method, named “Joint ABBReviation for Organizing WHIteBasE (JaBBRoW)”, for abbreviating some jointed relations in displaying genealogy using our previous WHIteBasE method, is proposed. The WHIteBasE method has perfectly been able to integrate each relation that includes a married couple and their children, and has been able to display various complex relations with segment intersections easily. This method has a problem that all of inputted layouts are always displayed. The solution is to use the JaBBRoW. It is a hidden boundary that can organize information of some positions using a square area that is set by user’s requirements to abbreviate. Not only the area is movable but also its scale can be compacted and recovered seamlessly by only mouse operations. As a result, arbitrary relations with horizontal and vertical connections in genealogy can be abbreviated easily. Our software that can display genealogy with abbreviation is presented
SummaryIn this paper, we present a method to deal with the quantitative belief change based on linear algebra. Since the epistemic state of an agent is represented by a set of the subjective probability which she conceived for each possible world, we can regard this epistemic state as a point of vector space spanned by the basis of possible worlds. The knowledge which causes the belief change is treated as a matrix on this vector space. The observation of the new fact about the current world is characterized as a projection matrix. On the other hand, the knowledge about the world change is represented by a stochastic matrix. In this framework, we present a unified method of belief change both for propositional and probabilistic knowledge so that the logical or probabilistic reasoning in the process of the belief revision and update is reduced to the matrix calculation.
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