The portfolio optimization problem is modeled as a mean-risk bicriteria optimization problem where the expected return is maximized and some (scalar) risk measure is minimized. In ...
Scalable image retrieval systems usually involve hierarchical quantization of local image descriptors, which produces a visual vocabulary for inverted indexing of images. Although ...
Rongrong Ji (Harbin Institute of Technology), Xing...
—Multicast is an important communication paradigm, also a problem well known for its difficulty (NP-completeness) to achieve certain optimization goals, such as minimum network ...
Storage mapping optimization is a flexible approach to folding array dimensions in numerical codes. It is designed to reduce the memory footprint after a wide spectrum of loop tr...
In order to extract high levels of performance from modern parallel architectures, the effective management of deep memory hierarchies is very important. While architectural advan...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...