Grouping datasets plays an important role in many scientific researches. Depending on data features and applications, different constrains are imposed on groups, while having groups with similar members is always a main criterion. In this paper, we propose an algorithm for grouping the objects with random labels, nominal features having too many nominal attributes. In addition, the size constra...

In this paper, we propose a grouping based method to solve the stereo matching problem. We employ intensity segments on scan lines of stereo images as primitives for matching, and formulate the problem by introducing a multi-stage grouping process of the intensity segments. A relation that should be satisfied between a matching pair of intensity segments and Some constraints, including the self...

This paper is concerned with robust, accurate and computationally tractable methods for the automatic recovery of 3D ellipse data from edge based stereo. The processing paradigm relies heavily on the 2D image as a rich and robust source of scene feature hypotheses (in this case ellipses). Rather than attempt to recover 3D scene descriptions by grouping unstructured estimates of disparity and/or...

We present Releviz, a system that provides a two-dimensional interface for selecting and displaying multivariate data records. Releviz describes a two-component system: A standardized constraint language for expressing search parameters specific to a particular data domain, and for evaluating those search parameters; and a two-dimensional display field of the search results, in linear or radial...

Traditional method of test paper generation is time-consuming, low efficient and low success. In order to improve the success rate of test paper, the paper puts forward an ant colony algorithm of automatic sets method. First, a mathematical model of constraint is built according to the requires of papers, and by using the ant colony algorithm, the optimal solution of grouping is obtained. Simul...