kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
To aid software analysis and maintenance tasks, a number of software clustering algorithms have been proposed to automatically partition a software system into meaningful subsyste...
The Earley algorithm is a widely used parsing method in natural language processing applications. We introduce a variant of Earley parsing that is based on a “delayed” recognit...
Abstract— Flooding based strategies are conventionally employed to perform querying and broadcasting in sensor networks. These schemes have low hop-delays of Θ( 1 M(n) ) to reac...
Sundar Subramanian, Sanjay Shakkottai, Ari Arapost...
Abstract— High-speed wireless communication technology (e.g. WiMAX) makes it feasible and cost-effective to build wireless back-hauls for Internet access. Compared to wired count...