We present a novel multitask learning framework called multitask generalized eigenvalue program (MTGEP), which jointly solves multiple related generalized eigenvalue problems (GEPs). This framework is quite general and can be applied to many eigenvalue problems in machine learning and pattern recognition, ranging from supervised learning to unsupervised learning, such as principal component ana...

Whereas different hydrometeor types cannot be readily distinguished using radar reflectivity alone, this paper shows how the differential reflectivity available from dual-polarization radars can be used as an indicator of hydrometeor type (when supported by reflectivity factor also), and that the spatial variability of differential reflectivity is a useful addition. Various hydrometeor types, g...

Binary similarity and dissimilarity measures are of great importance to pattern recognition and other fields. Here, correlations between pairs of 76 binary similarity and distance measures are studied. Some similarity measures are highly correlated while others are not, and the variability of the correlation can depend on the characteristics of the underlying binary data. To better understand t...

An articulatory study was conducted to explore effects of prosodic boundary and syllable structure on temporal realizations of /ma/ in C♯V vs. ♯CV in Korean (where ‘♯’ denotes an Intonational Phrase or a Word boundary). The vocalic gesture underwent boundary-induced lengthening more in C♯V than in ♯CV, implying that the boundary effect is largely localized to the initial element whether consona...