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METHOD AND DEVICE FOR EFFICIENT PARALLEL MESSAGE COMPUTATION FOR MAP INFERENCE

机译:映射推理的高效并行消息计算方法和装置

摘要

The invention concerns a generic message passing scheme for MAP inference on Markov Random Fields (MRFs). The method is based on an efficient message computation using an intermediate input vector I, an output message vector M,an auxiliary seed vector S, all of equal length N, anda pairwise function r = d(x,y), where r,x,y are real numbers. The computation comprising: For each element j of vector S, do S(j) = j. Consider an index distance Δ = 2^floor(log2(N)). Repeat while Δ 0. (step 5349) For each index of vector I, namely i, do in parallel: - consider the set of all indices within distance Δ from a given index i (step 5342), augmented by index i. For every index k (step 5343) belonging to this set, calculate its distance from i using the function: d(i,k) + I(S(k)). Find the minimum distance and call n the index corresponding to this minimum distance. (step 5344) - Do S(i) = S(n). (step 5345) - Δ = floor (Δ/2). (step 5348) For each element j of vector M, do M(j) = I(S(j))+d(j,S(j)).
机译:本发明涉及用于在马尔可夫随机场(MRF)上进行MAP推断的通用消息传递方案。该方法基于使用中间输入向量I,输出消息向量M,辅助种子向量S(均等长N)以及成对函数r = d(x,y)的高效消息计算,其中r,x ,y是实数。计算包括:对于向量S的每个元素j,做S(j)= j。考虑索引距离Δ= 2 ^ floor(log2(N))。在Δ> 0时重复。(步骤5349)对于向量I的每个索引,即i,并行执行:-考虑到距给定索引i距离Δ以内的所有索引(索引5342)的集合。对于属于该集合的每个索引k(步骤5343),使用函数d(i,k)+ I(S(k))计算与i的距离。找到最小距离,然后调用与该最小距离相对应的索引。 (步骤5344)-做S(i)= S(n)。 (步骤5345)-Δ=地板(Δ/ 2)。 (步骤5348)对于向量M的每个元素j,做M(j)= I(S(j))+ d(j,S(j))。

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