Resource management on accelerator based systems is complicated by the disjoint nature of the main CPU and accelerator, which involves separate memory hierarhcies, different degr...
Filip Blagojevic, Costin Iancu, Katherine A. Yelic...
Abstract--The lag of parallel programming models and languages behind the advance of heterogeneous many-core processors has left a gap between the computational capability of moder...
Graph-based methods form a main category of semisupervised
learning, offering flexibility and easy implementation
in many applications. However, the performance of
these methods...
Wei Liu (Columbia University), Shih-fu Chang (Colu...
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
Ashish Kapoor, Chris Mario Christoudias, Raquel Ur...
We consider the problem of calibrating a highly generic imaging model, that consists of a non-parametric association of a projection ray in 3D to every pixel in an image. Previous...
Srikumar Ramalingam, Peter F. Sturm, Suresh K. Lod...