We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
In this article, we review the major paradigms for approximate similarity queries and propose a classification schema that easily allows existing approaches to be compared along ...
Monotonicity is a simple yet significant qualitative characteristic. We consider the problem of segmenting an array in up to K segments. We want segments to be as monotonic as po...
Knowledge discovery systemsfor databasesareemployedto provide valuable insights into characteristics and relationshipsthat may exist in the data,but are unknown to the user. This ...
James S. Ribeiro, Kenneth A. Kaufman, Larry Kersch...
Performance obtained with existing library-based parallelization tools for implementing high performance image processing applications is often sub-optimal. This is because inter-...