Spatial heterogeneity automatic detection and estimation

Automatic Bounding Estimation in Modified Nlms Algorithm

Modified Normalized Least Mean Square (MNLMS) algorithm, which is a sign form of NLMS based on set-membership (SM) theory in the class of optimal bounding ellipsoid (OBE) algorithms, requires a priori knowledge of error bounds that is unknown in most applications. In a special but popular case of measurement noise, a simple algorithm has been proposed. With some simulation examples the performa...

Spatial Heterogeneity, Spatial Scale, and Productivity

Invasive species are one of the most significant threats to native species diversity, and identifying the factors that make places more or less invasible has been one of the most important issues in the study of invasions (Wilcove et al., 1998; Pimentel et al., 2000). From a theoretical perspective, the reasons some communities are more invasible than others is a question that continues to intr...

AUTOMATIC DETECTION AND INTENSITY ESTIMATION OF SPONTANEOUS SMILES by

Automatic Detection of Machine Translated Text and Translation Quality Estimation

We show that it is possible to automatically detect machine translated text at sentence level from monolingual corpora, using text classification methods. We show further that the accuracy with which a learned classifier can detect text as machine translated is strongly correlated with the translation quality of the machine translation system that generated it. Finally, we offer a generic machi...

Glottal Source Estimation and Automatic Detection of Dysphonic Speakers

Among all the biomedical signals, speech is among the most complex ones since it is produced and received by humans. The extraction and the analysis of the information conveyed by this signal are the basis of many applications, including the topics discussed in this thesis: the estimation of the glottal source and the automatic detection of voice pathologies. In the first part of the thesis, af...