In distributed-memory message-passing architectures reducing communication cost is extremely important. In this paper, we present a technique to optimize communication globally. O...
Mahmut T. Kandemir, Prithviraj Banerjee, Alok N. C...
We propose a 3D mesh-dragging method useful for intuitive, efficient geometric modeling of free-form polygonal models. With our method, the user can drag a part of a triangular me...
We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). W...
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
Most of the obstacle avoidance techniques do not consider the robot orientation or its nal angle at the target position. These techniques deal with the robot position only and are ...