Computational geometry: an introduction
Computational geometry: an introduction
Time- and space-optimal contour computation for a set of rectangles
Information Processing Letters
Parallel computation of geometric properties from the medial axis transform
Computer Vision, Graphics, and Image Processing
Planar shape matching based on binary tree shape representation
Pattern Recognition
From global similarities to kinds of similarities: the construction of dimensions in development
Similarity and analogical reasoning
Case-based reasoning
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Partial matching of planar polylines under similarity transformations
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
Computer Vision
Geometric Data Structures on a Reconfigurable Mesh, with Applications
IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
Using symbolic techniques to find the maximum clique in very large sparse graphs
EDTC '95 Proceedings of the 1995 European conference on Design and Test
A pseudo-distance measure for 2D shapes based on turning angle
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
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Abstraction and generalization of layout design cases generate new knowledge that is more widely applicable to use than specific design cases. The abstraction and generalization of design cases into hierarchical levels of abstractions provide the designer with the flexibility to apply any level of abstract and generalized knowledge for a new layout design problem. Existing case-based layout learning (CBLL) systems abstract and generalize cases into single levels of abstractions, but not into a hierarchy. In this paper, we propose a new approach, termed customized viewpoint—spatial (CV–S), which supports the generalization and abstraction of spatial layouts into hierarchies along with a supporting system, SPIDA (SPatial Intelligent Design Assistant).