Partitioning data parallel computations across a network of heterogeneous workstations is a dificult problem for the user: We have developed a runtime partitioning methodfor choos...
A significant fraction of Web data is available only for short periods of time. We consider methods to keep track and to record such dynamic information automatically. The main p...
The task of computing molecular structure from combinations of experimental and theoretical constraints is expensive because of the large number of estimated parameters (the 3D co...
Cheng Che Chen, Jaswinder Pal Singh, Russ B. Altma...
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...
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...