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.
Polarimetric features are essential to polarimetric synthetic aperture radar (PolSAR) image classification for their better physical understanding of terrain targets. The designed classifiers often achieve better performance via feature combination. However, the simply combination of polarimetric features cannot fully represent the information in PolSAR data, and the statistics of polarimetric features...
Graph sampling techniques via random walk crawling have been popular for analyzing statistical characteristics of large online social networks due to simple implementation and provable guarantees on unbiased estimates. Despite the growing popularity, the ‘cost’ of sampling and its true impact on the accuracy of estimates still have not been carefully studied. In addition, the random walk-based methods...
This is a set of research exploring using animation in the Massive Open Online Course (MOOC) / Small Private Online Course (SPOC) for learning information security. We established an Information Security SPOC course, with animations made of GoAnimate for learning. The course content was largely based on the standard of the Certified Information Systems Auditor (CISA) from Information Systems Audit...
This paper presents a novel classification method for high-spatial-resolution satellite scene classification introducing multiset aggregated canonical correlation analysis (MACCA)-based feature fusion to fuse and combine multiple features. Firstly, a superpixel representation of the scene is constructed by employing a high-efficiency linear iterative clustering algorithm. After that, three diverse...
In this paper, we study on the blind periodic estimation of the pseudo-noise (PN) sequence in variable-spreading-length (VSL) multi-rate direct-sequence code division multiple access (DS/CDMA) systems. The reprocessing of the power spectrum method which is used to estimate the period of general direct-sequence spread spectrum signals is extended to solve the periodic estimation of the PN sequence...
Being able to capture the properties of massive real graphs and also greatly reduce data scale and processing complexity, graph sampling techniques provide an efficient tool for complex network analysis. Random walk-based sampling has become popular to obtain asymptotically uniform samples in the recent literature. However, it produces highly correlated samples and often leads to poor estimation accuracy...
This paper proposed a method that using watermarking signal as the invariant descriptor, in order to locate the rotation, scale and translation that applied to the host image. The method uses the RST invariant Fourier-Mellin transform and Phase only symmetric matched filter as fundamental concept. It also presents the method that applies the watermark symbols at proper geometric locations which can...
This paper studies the spatial correlation in the sensing data gathered by densely deployed sensors. We first show that the joint entropy of a cluster of sensor nodes can be calculated through the covariance matrix of their readings when they are gaussian distributed. Then, two kinds of correlation patterns in the physical world are studied, and we show these two patterns have fundamental different...
Existing 3D clustering algorithms on gene times sample times time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the correlation on time subseries, or disregard the continuity of the time series, or only validate pure shifting or pure scaling coherent patterns instead of the general shifting and-scaling patterns. In this paper,...
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.