Motion information scalability is an important requirement for a fully scalable video codec, especially in low bit rate or small resolution decoding scenarios, for which the fully...
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
We propose a new algorithm for compressing three-dimensional triangular mesh data used for representing surfaces. We apply the EstimationQuantization (EQ) algorithm originally des...
Abstract. Developing directed mutation methods has been an interesting research topic to improve the performance of genetic algorithms (GAs) for function optimization. This paper i...
Projects combining agile methods with CMMI1 are more successful in producing higher quality software that more effectively meets customer needs at a faster pace. Systematic Softwa...
Jeff Sutherland, Carsten Ruseng Jakobsen, Kent Joh...