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Chroma subsampling

Known as: Chroma format, 4:2:0, 4:1:1 
Chroma subsampling is the practice of encoding images by implementing less resolution for chroma information than for luma information, taking… Expand
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Highly Cited
2017
Highly Cited
2017
Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also… Expand
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Review
2016
Review
2016
  • K. R. Rao
  • Signal Processing: Algorithms, Architectures…
  • 2016
  • Corpus ID: 27001523
In the family of video coding standards, HEVC has the promise and potential to replace/supplement all the existing standards… Expand
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Highly Cited
2014
Highly Cited
2014
The ability to accurately represent sentences is central to language understanding. We describe a convolutional architecture… Expand
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Highly Cited
2013
Highly Cited
2013
The recently introduced continuous Skip-gram model is an efficient method for learning high-quality distributed vector… Expand
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Highly Cited
2012
Highly Cited
2012
The compression capability of several generations of video coding standards is compared by means of peak signal-to-noise ratio… Expand
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Highly Cited
2010
Highly Cited
2010
A common practice to gain invariant features in object recognition models is to aggregate multiple low-level features over a… Expand
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Highly Cited
2008
Highly Cited
2008
Most successful object recognition systems rely on binary classification, deciding only if an object is present or not, but not… Expand
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Highly Cited
2002
Highly Cited
2002
We present a new technique for the display of high-dynamic-range images, which reduces the contrast while preserving detail. It… Expand
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Highly Cited
1998
Highly Cited
1998
  • T. Ho
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 1998
  • Corpus ID: 206420153
Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma… Expand
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Highly Cited
1987
Highly Cited
1987
The Jackknife Estimate of Bias The Jackknife Estimate of Variance Bias of the Jackknife Variance Estimate The Bootstrap The… Expand
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