The problem of figure-ground separation is tackled from the perspective of combinatorial optimization. Previous attempts have used deterministic optimization techniques based on re...
We explore the potential of hardware transactional memory (HTM) to improve concurrent algorithms. We illustrate a number of use cases in which HTM enables significantly simpler c...
Dave Dice, Yossi Lev, Virendra J. Marathe, Mark Mo...
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Lidar waveforms are 1D signals representing a train of echoes caused by reflections at different targets. Modeling these echoes with the appropriate parametric function is useful ...