Belief propagation has been shown to be a powerful inference mechanism for stereo correspondence. However the classical formulation of belief propagation implicitly imposes the fr...
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
— This paper proposes a new approach for decoding LDPC codes over MISO channels. Since in an nT × 1 MISO system with a modulation of alphabet size 2M, nT transmitted symbols are...
Amir H. Djahanshahi, Paul H. Siegel, Laurence B. M...
Unifying first-order logic and probability is a long-standing goal of AI, and in recent years many representations combining aspects of the two have been proposed. However, infere...
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...