Parametric models are of great interest for representing and manipulating sounds. However, the quality of the resulting signals depends on the precision of the parameters. When the signals are available, these parameters can be estimated, but the presence of noise decreases the resulting precision of the estimation. Furthermore, the Cramér-Rao bound shows the minimal error reachable with the be...

introduction: scattered photon is one of the main defects that degrade the quality and quantitative accuracy of nuclear medicine images. accurate estimation of scatter in projection data of spect is computationally extremely demanding for activity distribution in uniform and non-uniform dense media. methods: the objective of this paper is to develop and validate a scatter correction technique t...

Evaluating the quality of output from language processing systems such as machine translation or speech recognition is an essential step in ensuring that they are sufficient for practical use. However, depending on the practical requirements, evaluation approaches can differ strongly. Often, reference-based evaluation measures (such as BLEU or WER) are appealing because they are cheap and allow...

This thesis presents a deep neural network for word-level machine translation quality estimation. The model extends the feedforward multi-layer architecture by [Collobert et al., 2011] to learning continuous space representations for bilingual contexts from scratch. By means of stochastic gradient descent and backpropagation of errors, the model is trained for binary classification of translate...

Multimedia communication is becoming pervasive because of the progress in wireless communications and multimedia coding. Estimating the quality of the visual content accurately is crucial in providing satisfactory service. State of the art visual quality assessment approaches are effective when the input image and the reference image have the same resolution. However, finding the quality of an ...

This paper gives an introduction to recent work on the problem of quantifying errors in the estimation of models for dynamic systems. This is a very large eld. We therefore concentrate on approaches that have been motivated by the need for reliable models for control system design. This will involve a discussion of eeorts which go under the titles of`Estimation in H 1 ', `Worst Case Estimation'...

introduction: scattered photon is one of the main defects that degrade the quality and quantitative accuracy of nuclear medicine images. accurate estimation of scatter in projection data of spect is computationally extremely demanding for activity distribution in uniform and non-uniform dense media. methods: the objective of this paper is to develop and validate a scatter correction technique ...

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