The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Previous proposals for power-aware thread-level parallelism on chip multiprocessors (CMPs) mostly focus on multiprogrammed workloads. Nonetheless, parallel computation of a single...
Ideally, a software project commences with requirements gathering and specification, reaches its major milestone with system implementation and delivery, and then continues, possi...
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...