Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Over the last twenty years the interfaces for accessing persistent storage within a computer system have remained essentially unchanged. Simply put, seek, read and write have deļ¬...
Xiangyong Ouyang, David W. Nellans, Robert Wipfel,...
Single chip heterogeneous multiprocessors are arising to meet the computational demands of portable and handheld devices. These computing systems are not fully custom designs trad...
This paper addresses the problem of establishing correspondences
between two sets of visual features using
higher-order constraints instead of the unary or pairwise
ones used in...
Francis R. Bach, In-So Kweon, Jean Ponce, Olivier ...