We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
The hurdles in solving Constrained Optimization Problems (COP) arise from the challenge of searching a huge variable space in order to locate feasible points with acceptable solut...
Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, David ...
in an abstract Cartesian space of program versions characterized by dialect variables. An optimal solution to the problem is derived based on its translation to a restricted Intege...
Abstract Existing spatiotemporal indexes suffer from either large update cost or poor query performance, except for the Bx -tree (the state-of-the-art), which consists of multiple ...
Fueled by an unprecedented desire for convenience and self-service, consumers are embracing embedded technology solutions that enhance their mobile lifestyles. Consequently, we wi...
Mahmut T. Kandemir, Feihui Li, Guilin Chen, Guangy...