Assisted auscultation : creation and visualization of high dimensional feature spaces for the detection of mitral regurgitation

Schepp Klinik für Gastroenterologie,   Hepatologie und   gastroenterologische  Onkologie, Städtisches  Klinikum München GmbH, 

Par conséquent, des stratégies devraient être élaborées dans la phase de la préparation pour restaurer les activités et infrastructures essentielles (comme les hôpitaux) le

We achieved recognition rates of up to 89% on word level using the skeleton based method for baseline estimation and skeleton directon features. Currently we are working on

This section presents the feature extraction methodology proposed in the context of this paper. The extracted features are able to quantify the degree of anomaly of each MOAS

Hence, rely- ing on local range consistency is not enough to detect all cardinality inconsistencies in a fm, as it does not take into account the overall number of feature

Except for LASSO, for which we set λ = 10 −10 , the optimal value of the regularization parameter (or tolerance for LSMR) was determined by a simple grid search. For the large

Mixture models are known to be very successful in modeling het- erogeneity in data, in many statistical data science problems, including density estimation and clustering, and

Mixture models are known to be very successful in modeling het- erogeneity in data, in many statistical data science problems, including density estimation and clustering, and