We introduce a new stable minimum storage algorithm for merging that needs O(m log( n m + 1)) element comparisons, where m and n are the sizes of the input sequences with m ≤ n. ...
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
Abstract— We consider the approximate sparse recovery problem, where the goal is to (approximately) recover a highdimensional vector x ∈ Rn from its lower-dimensional sketch Ax...
– Reducing power consumption through high-level synthesis has attracted a growing interest from researchers due to its large potential for power reduction. In this work we study ...
We consider planning optimal collision-free motions of two polygonal robots under translation. Each robot has a reference point that must lie on a given graph, called a roadmap, w...
Hamid Reza Chitsaz, Steven M. LaValle, Jason M. O'...