In this paper, a new method is proposed for unsupervised speckle level estimation in synthetic aperture radar (SAR) images. It is assumed that fully developed speckle intensity has a Gamma distribution. Based on this assumption, estimation of the equivalent number of looks (ENL) is transformed into noise variance estimation in the logarithmic SAR image domain. In order to improve estimation acc...

Automatic audio classification usually considers sounds as music, speech, silence or noise, but works about the noise class are rare. Audio features are generally specific to speech or music signals. In this paper, we present a new audio feature sets that lead to the definition of four classes: colored, pseudo-periodic, impulsive and sinusoids within noises. This classification relies on works ...

In this paper a preliminary study on voice excitation modeling by single glottal shape parameter selection is presented. A strategy for direct model selection by matching derivative glottal source estimates with LF-based candidates driven by the Rd parameter is explored by means of two state-of-the-art similarity measures and a novel one considering spectral envelope information. An experimenta...

We derive an exact and efficient Bayesian regression algorithm for piecewise constant functions of unknown segment number, boundary location, and levels. It works for any noise and segment level prior, e.g. Cauchy which can handle outliers. We derive simple but good estimates for the in-segment variance. We also propose a Bayesian regression curve as a better way of smoothing data without blurr...

We report a preliminary investigation on interactions between networked social communities using the Ising model to analyze the spread of rumours. The inner opinion of a given community is forced to change through the introduction of a unique external source and we analyze how the other communities react to this change. We model two conceptual external sources: namely, “Strong-belief ”, and “Pr...

This paper describes a voice characteristics conversion technique for an HMM-based text-to-speech synthesis system. The system uses phoneme HMMs as the speech synthesis units, and voice characteristics conversion is achieved by changing HMM parameters appropriately. To transform the voice characteristics of synthetic speech to the target speaker, we apply an MLLR (Maximum Likelihood Linear Regr...

We present a new motion segmentation algorithm: the Enhanced Local Subspace Affinity (ELSA). Unlike Local Subspace Affinity, ELSA is robust in a variety of conditions even without manual tuning of its parameters. This result is achieved thanks to two improvements. The first is a new model selection technique for the estimation of the trajectory matrix rank. The second is an estimation of the nu...

objective: in recent years the use of herbal slimming supplements has increased in iran. one problem may be the illegal inclusion of synthetic drugs by some manufacturers in these products. the aim of this study is to determine four undeclared synthetic adulterants in some herbal slimming products present in the iranian market. methods: this survey studyresearched six common herbal slimming sup...

In this paper we will propose a new probabilistic topic model to score the expertise of participants on the projects that they contribute to based on their previous experience. Based on each participant’s score, we rank participants and define those who have the lowest scores as outlier participants. Since the focus of our study is on outliers, we name the model as Mining Outlier Participants f...