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Nearest-neighbor interpolation

Known as: Nearest neighbor interpolation, Point sampling, Nearest-neighbour interpolation 
Nearest-neighbor interpolation (also known as proximal interpolation or, in some contexts, point sampling) is a simple method of multivariate… Expand
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Papers overview

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Highly Cited
2015
Highly Cited
2015
  • Nan Jiang, Luo Wang
  • Quantum Inf. Process.
  • 2015
  • Corpus ID: 1023223
Although image scaling algorithms in classical image processing have been extensively studied and widely used as basic image… Expand
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2015
2015
Quantum image processing is one of the most active fields in quantum computation and quantum information processing. Some… Expand
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2012
2012
This paper presents the nearest neighbor value (NNV) algorithm for high resolution (H.R.) image interpolation. The difference… Expand
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Highly Cited
2010
Highly Cited
2010
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However… Expand
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Highly Cited
2008
Highly Cited
2008
State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In… Expand
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Highly Cited
1999
Highly Cited
1999
We compare two different techniques for browsing through a collection of spatial objects stored in an R-tree spatial data… Expand
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Highly Cited
1998
Highly Cited
1998
Methionine5-enkephalin sulfoxides and sulfones having agonist activity at opiate receptors are disclosed herein. These sulfoxides… Expand
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Highly Cited
1997
Highly Cited
1997
Representing data as points in a high-dimensional space, so as to use geometric methods for indexing, is an algorithmic technique… Expand
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Highly Cited
1995
Highly Cited
1995
A very promising idea for fast searching in traditional and multimedia databases is to map objects into points in k-d space… Expand
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Highly Cited
1986
Highly Cited
1986
Ray tracing, ray casting, and other forms of point sampling are important techniques in computer graphics, but their usefulness… Expand
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