Efficient isosurface extraction from large volume data sets requires special algorithms and data structures. Such algorithms typically either use a hierarchical spatial subdivisio...
This paper targets the problem of optimal resource allocation in overlay multicast, which poses both theoretical and practical challenges. Theoretically, resource allocation among...
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
—This paper investigates the problem of incremental detection of errors in distributed data. Given a distributed database D, a set Σ of conditional functional dependencies (CFDs...
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...