The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Clustering of multimodal data according to their information content is considered in this paper. Statistical correlations present in data that contain similar information are exploited to perform the clustering task. Specifically, multiset canonical correlation analysis is equipped with norm-one regularization mechanisms to identify clusters within different types of data that share the same information...
To enable reliable embedded systems, it is imperative to leverage the compiler and system software for joint optimization of functional correctness (i.e., vulnerability indexes) and timing correctness (i.e., deadline misses). This paper considers the optimization of the reliability-timing (RT) penalty, defined as a linear combination of the vulnerability and deadline misses. We propose a cross-layer...
The task of determining informative sensors and clustering the sensor measurements according to their information content is considered. To this end, the standard canonical correlation analysis (CCA) framework is equipped with norm-one and norm-two regularization terms to estimate the unknown number of field sources and identify informative groups of sensors. Coordinate descent techniques are combined...
Link prediction is one of the hottest issues in social network analysis are, which aims to predict new links from a known network. This paper presents a new link prediction approach named SLiPT (Self-training based Link Prediction using Temporal features). The method introduces semi-supervised learning into link prediction task in order to use the potential information in a large number of unlinked...
In our recent studies, we identified 358 common cortical landmarks named Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOL), each of which possesses consistent fiber connection patterns across individuals and populations and is thus predictive of brain function. However, the regularity and variability of the cortical folding shape patterns of these DICCCOLs are unknown...
Ontology technology is widely used in various areas because of the development of Semantic Web, especially in the field of anatomy. Foundation Model of Anatomy (FMA) is one of the most popular knowledge bases in the anatomy research. FMA consists of 75,000 classes and 130,000 anatomy terms, due to the complexity derived from such large amount of detailed information, it will slow down the execution...
Renewable energies can enable embedded systems to be functional indefinitely. In particular for small autonomous sensors, energy harvesting techniques have attracted much interest. This paper considers systems which provide services periodically with adjustable quality evaluated in terms of rewards. The reward garnered for one service is monotonically increasing and strictly concave with respect to...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.