Abstract. This paper describes how the use of software libraries, which is prevalent in high performance computing, can benefit from compiler optimizations in much the same way tha...
We present the new notion of enforced generative pattern, a structure that declares positive or negative conditions that must be satisfied by a model. Patterns are applied to tran...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...