Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Model based error compensation of a robotic manipulator, also known as robot calibration, requires the identification of its generalized errors. These errors are found from measur...
This paper proposes a method to solve problem that comes with imbalanced training sets which is often seen in the practical applications. We modied Self Growing Neural Network Co...
— Given the recent wave of innovation and diversification in digital signal processor (DSP) architecture, the need for quickly evaluating the true potential of considered archite...
The design of virtual environments usually concentrates on constructing a realistic visual simulation and ignores the non-visual cues normally associated with moving through an en...
Laurence R. Harris, Michael Jenkin, Daniel C. Ziko...