# Sampling (signal processing)

## Papers overview

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Review

2017

Review

2017

- ArXiv
- 2017

The aim of this paper1 is to give an overview of domain adaptation and transfer learning with a specific view on visual… (More)

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Review

2017

Review

2017

- 2017

Despite continuous technological enhancements of metal Additive Manufacturing (AM) systems, the lack of process repeatability and… (More)

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Review

2017

Review

2017

- ArXiv
- 2017

This paper is a survey and an analysis of different ways of using deep learning (deep artificial neural networks) to generate… (More)

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Review

2017

Review

2017

- IEEE Transactions on Visualization and Computer…
- 2017

We systematically reviewed 64 user-study papers on data glyphs to help researchers and practitioners gain an informed… (More)

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Review

2017

Review

2017

- NeuroImage
- 2017

In recent years the field of fMRI research has enjoyed expanded technical abilities related to resolution, as well as use across… (More)

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Review

2017

Review

2017

- Bioinformatics
- 2017

Motivation
In recent years, molecular species delimitation has become a routine approach for quantifying and classifying… (More)

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Review

2017

Review

2017

- Information & Software Technology
- 2017

Context: Defect prediction is a very meaningful topic, particularly at change-level. Change-level defect prediction, which is… (More)

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Review

2017

Review

2017

- AAAI
- 2017

Although semi-supervised variational autoencoder (SemiVAE) works in image classification task, it fails in text classification… (More)

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Highly Cited

2010

Highly Cited

2010

- IEEE Journal of Selected Topics in Signal…
- 2010

Conventional sub-Nyquist sampling methods for analog signals exploit prior information about the spectral support. In this paper… (More)

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Highly Cited

2002

Highly Cited

2002

- IEEE Trans. Signal Processing
- 2002

Consider classes of signals that have a finite number of degrees of freedom per unit of time and call this number the rate of… (More)

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