Image annotation has been an active research topic in the recent years due to its potentially large impact on both image understanding and web/database image search. In this paper...
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
DTA (Decoupled Threaded Architecture) is designed to exploit fine/medium grained Thread Level Parallelism (TLP) by using a distributed hardware scheduling unit and relying on exi...
— Modern CPUs operate at GHz frequencies, but the latencies of memory accesses are still relatively large, in the order of hundreds of cycles. Deeper cache hierarchies with large...
Konrad Malkowski, Greg M. Link, Padma Raghavan, Ma...
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...