This paper presents a novel interprocedural, ow-sensitive, and context-sensitive pointer analysis algorithm for multithreaded programs that may concurrently update shared pointers...
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
As experimental digital library testbeds gain wider acceptance and develop significant user bases, it becomes important to investigate the ways in which users interact with the sy...
Steve Jones, Sally Jo Cunningham, Rodger J. McNab,...
This paper focuses on matching 1D structures by variational methods. We provide rigorous rules for the construction of the cost function, on the basis of an analysis of properties ...
The C-BRAHMS project develops computational methods for content-based retrieval and analysis of music data. A summary of the recent algorithmic and experimental developments of th...