Many real life problems are characterized by the structure of data derived from multiple sensors. The sensors may be independent, yet their information considers the same entities...
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
The Web Service paradigm is currently considered as the most promising and rapidly evolving technology for developing applications in open, distributed and heterogeneous environme...
This paper proposes a new concurrent data structure, called parallel hash table, for synchronizing the access of multiple threads to resources stored in a shared buffer. We prove ...
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...