Multi-scale approaches

The scale space representation of a signal obtained by Gaussian smoothing satisfies a number of special properties, scale-space axioms, which make it… (More)
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Topic mentions per year

Topic mentions per year

1995-2017
0519952017

Papers overview

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2017
2017
Progress in modern neuroscience critically depends on our ability to observe the activity of large neuronal populations with… (More)
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2016
2016
Scale is the lens through which we view spatial and temporal heterogeneity and interpret ecological relationships (Wiens 1989… (More)
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2016
2016
Correctly classifying a skin lesion is one of the first steps towards treatment. We propose a novel convolutional neural network… (More)
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2015
2015
The goal of the “Emotion in Music” task in MediaEval 2015 is to automatically estimate the emotions expressed by music (in terms… (More)
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2015
2015
Multi-scale approaches to habitat modeling have been shown to provide more accurate understanding and predictions of species… (More)
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2014
2014
A multi-scale statistical non-redundancy modeling approach is introduced for saliency detection in images. The statistical non… (More)
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2014
2014
Over the last decade, a number of algorithms have shown promising results in removing additive white Gaussian noise from natural… (More)
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2010
2010
This paper proposes a new multi-scale energy minimization algorithm which can be used to efficiently solve large scale labelling… (More)
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Review
2008
Review
2008
0026-2714/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.microrel.2008.03.024 * Corresponding author. Tel.: +31 0 15 27… (More)
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2005
2005
Scene flow methods estimate the three-dimensional motion field for points in the world, using multi-camera video data. Such… (More)
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