In this paper, we present novel techniques that improve the computational and memory efficiency of algorithms for solving multi-label energy functions arising from discrete MRFs o...
Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
Parallel file subsystems in today’s high-performance computers adopt many I/O optimization strategies that were designed for distributed systems. These strategies, for instance...
Wei-keng Liao, Kenin Coloma, Alok N. Choudhary, Le...
: This paper is on failure detectors to solve the consensus problem in asynchronous systems made up of anonymous processes prone to crash and connected by asynchronous reliable cha...
To solve real-world discrete optimization problems approximately metaheuristics such as simulated annealing and other local search methods are commonly used. For large instances o...