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This paper introduces a new method for single-channel denoising that sheds new light on classical early developments on this topic that occurred in the 70's and 80's with Wiener filtering and spectral subtraction. Operating both in the short-time Fourier transform domain, these methods consist in estimating the power spectral density (PSD) of the noise without speech. Then, the clean speech signal...
In this paper, we focus on the problem of sound source localization and we propose a technique that exploits the known and arbitrary geometry of the microphone array. While most probabilistic techniques presented in the past rely on Gaussian models, we go further in this direction and detail a method for source localization that is based on the recently proposed α-stable harmonizable processes. They...
The severe pain related to repeated burn dressing changes at bedside is often difficult to manage. However these dressings can be performed at bedside on spontaneously breathing non-intubated patients using powerful intravenous opioids with a quick onset and a short duration of action such as alfentanil. The purpose of this study is to demonstrate the efficacy and safety of the protocol which is used...
We conducted a one-month study of the working time and workload of nurses in a 15 beds burn center (including 8 intensive care beds). Nurses’ tasks were categorized according to their nature (medical care, local treatments, post anesthetic monitoring, administrative time related to health care, administrative time unrelated to health care, cleaning, rest). The time taken to complete a given task was...
This paper presents two extensions for DGVNS (Decomposition Guided VNS) method, that exploit both the graph of clusters and separators between these clusters, to efficiently guide the exploration of large neighborhoods in VNS. Experiments performed on challenging instances of the tagSNP selection problem show the appropriateness and the efficiency of our approach.
Tree decomposition introduced by Robertson and Seymour aims to decompose a problem into clusters constituting an a cyclic graph. There are works exploiting tree decomposition for complete search methods. In this paper, we show how tree decomposition can be used to efficiently guide the exploration of local search methods that use large neighborhoods like VNS. We introduce tightness dependent tree...
Clone detection is usually applied in the context of detecting small-to medium scale fragments of duplicated code in large software systems. In this paper, we address the problem of clone detection applied to plagiarism detection in the context of source code assignments done by computer science students. Plagiarism detection comes with a distinct set of constraints to usual clone detection approaches,...
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