1,721,095 research outputs found
Analisi di polarizzazione della componente fondamentale degli eventi a bassa frequenza di Stromboli (Isole Eolie Italia)
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A Neural Network approach for the Noise Identification and Data Quality of the VIRGO antenna
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Mining Yeast Gene Microarray Data with Latent Variable Models
No full textAbstract
Gene-expression microarrays make it possible to simultaneously measure the rate at which a cell or tissue is expressing each of its thousands of genes. One can use these comprehensive snapshots of biological activity to infer regulatory pathways in cells, identify novel targets for drug design, and improve diagnosis, prognosis, and treatment planning for those suffering from disease. However, the amount of data this new technology produces is more than one can manually analyze. Hence, the need for automated analysis of microarray data offers an opportunity for machine learning to have a significant impact on biology and medicine. Probabilistic Principal Surfaces defines a unified theoretical framework for nonlinear latent variable models embracing the Generative Topographic Mapping as a special case. This article describes the use of PPS for the analysis of yeast gene expression levels from microarray chips showing its effectiveness for high-D data visualization and clust..
Packet loss recovery in audio multimedia streaming by using compressive sensing
No full textThe aim of this study is to introduce a new scheme, based on a compressive sampling technique, for the reconstruction of lost data in multimedia streaming. The audio streaming data are encapsulated in different packets, at the sender, by using an interleaving technique. The compressive sampling technique is used to recover audio information in case of lost packets, at the receiver. Experimental results are presented for speech and musical audio signals which illustrate the performances and the capabilities of the proposed methodology
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