Nearest-neighbor interpolation

Known as: Point sampling, Nearest Neighbor Interpolation, Nearest-neighbour interpolation 
Nearest-neighbor interpolation (also known as proximal interpolation or, in some contexts, point sampling) is a simple method of multivariate… (More)
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Topic mentions per year

Topic mentions per year

1980-2017
020406019802017

Papers overview

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2016
2016
Reinforcement learning (RL) has had mixed success when applied to games. Large state spaces and the curse of dimensionality have… (More)
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2012
2012
This paper presents the nearest neighbor value (NNV) algorithm for high resolution (H.R.) image interpolation. The difference… (More)
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2012
2012
This paper presents the nearest neighbor value (NNV) algorithm for high resolution (H.R.) image interpolation. The difference… (More)
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2009
2009
We propose an image interpolation algorithm that is nonparametric and learning-based, primarily using an adaptive k-nearest… (More)
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Highly Cited
2009
Highly Cited
2009
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly… (More)
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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… (More)
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1997
1997
We investigate in how far interpolation mechanisms based on the nearest-neighbor rule (NNR) can support cancer research. The main… (More)
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Highly Cited
1996
Highly Cited
1996
Specifically, we use, .:!tate-of-the-art concepts from morphology, n;,mely the ‘pattern spectrum’ of a shape, to map each shape… (More)
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Highly Cited
1991
Highly Cited
1991
Storing and using specific instances improves the performance of several supervised learning algorithms. These include algorithms… (More)
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Highly Cited
1985
Highly Cited
1985
Classification of objects is an important area of research and application in a variety of fields. In the presence of full… (More)
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