A major challenge in frequent-pattern mining is the sheer size of its mining results. To compress the frequent patterns, we propose to cluster frequent patterns with a tightness m...
Users prefer to navigate subjects from organized topics in an abundance resources than to list pages retrieved from search engines. We propose a framework to cluster frequent items...
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Since emotions are expressed through a combination of verbal and non-verbal channels, a joint analysis of speech and gestures is required to understand expressive human communicati...
Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kaz...
The increasing importance of software measurement has led to development of new software measures. Many metrics have been proposed related to various constructs like class, coupli...
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchi...