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Sequential euclidean distance transforms

Known as: SEDT, Sequential duclidean distance transforms 
In the field of computer graphics, Sequential Euclidean Distance Transforms (SEDT) are a special kind of distance transforms based on the Euclidean… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Deep neural networks for machine comprehension typically utilizes only word or character embeddings without explicitly taking… Expand
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2017
2017
In this paper, a novel seamless guard band (SGB) technique for charge sharing mitigation is studied using 3-D TCAD numerical… Expand
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2008
2008
Objective To construct two types of Wnt-inducible secreted protein 3(WISP3)gene's mutants(1000T/C,840delT)found in… Expand
Highly Cited
2005
Highly Cited
2005
Medial Axis (MA), also known as Centres of Maximal Disks, is a useful representation of a shape for image description and… Expand
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2003
2003
Medial Axis (MA), also known as Centres of Maximal Disks, is a useful representation of a shape for image description and… Expand
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1996
1996
We present a parallel algorithm for the Euclidean distance transformation (EDT). It is a “divide-and-conquer” algorithm based on… Expand
1995
1995
  • R. Rao, R. Mersereau
  • Proceedings., International Conference on Image…
  • 1995
  • Corpus ID: 8253479
Hidden Markov modeling has proven extremely useful for statistical analysis of speech signals. There are, however, inherent… Expand
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1993
1993
We present a parallel algorithm for the Euclidean distance transformation (EDT). It is a divide-and-conquer algorithm based on a… Expand
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Highly Cited
1992
Highly Cited
1992
Abstract The main result of this paper is that simple (raster scan) sequential algorithms for computing Euclidean Distance… Expand
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