We present a heuristic approach to the geometric motion planning problem with the aim to quickly solve intuitively simple problems. It is based on a divide-and-conquer path search...
We present a new approach to preconditioning for very large, sparse, non-symmetric, linear systems. We explicitly compute an approximate inverse to our original matrix that can be...
We present a new grammatical formalism called Constraint Dependency Grammar (CDG) in which every grammatical rule is given as a constraint on wordto-word modifications. CDG parsin...
We develop a penalized kernel smoothing method for the problem of selecting nonzero elements of the conditional precision matrix, known as conditional covariance selection. This p...
This paper deals with the problem of optimally matching two ordered sets of 3-D points by means of a rigid displacement. Contrary to the standard approach, where a sumof-squared-er...