Data mining using two-dimensional optimized association rules: scheme, algorithms, and visualization
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Data Mining with optimized two-dimensional association rules
ACM Transactions on Database Systems (TODS)
Proceedings of the twenty-fourth annual symposium on Computational geometry
Effect of corner information in simultaneous placement of K rectangles and tableaux
COCOON'10 Proceedings of the 16th annual international conference on Computing and combinatorics
Maximum weight digital regions decomposable into digital star-shaped regions
ISAAC'11 Proceedings of the 22nd international conference on Algorithms and Computation
Algorithms for computing the maximum weight region decomposable into elementary shapes
Computer Vision and Image Understanding
On maximum weight objects decomposable into based rectilinear convex objects
WADS'13 Proceedings of the 13th international conference on Algorithms and Data Structures
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Motivated from the image segmentation problem, we consider the problem of finding the maximum weight region with a shape decomposable into elementary shapes in n 脳n pixel grid where each pixel has a real valued weight. We give efficient algorithms for several interesting cases. This shows string constrast to the NP-hardness results to find the maximum weight union for the corresponding cases.