A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
We describe a scheme for solving Energy Minimization problems, which is based on the A∗ algorithm accomplished with appropriately chosen LP-relaxations as heuristic functions. Th...
To design DNA nano-machines or analyze DNA molecular reactions, it is important to be able to predict the energy landscape of molecular structures and the energy barrier of a trans...
Energy is the most critical resource in the life of a wireless sensor node. Therefore, its usage must be optimized to maximize the network life. It is known that for higher path l...
We describe a threshold-based local algorithm for image binarization. The main idea is to compute a transition energy using pixel value differences taken from a neighborhood aroun...