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Ronghui Tu - IEEE Xplore Author Profile

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Is SP BP?

Ronghui Tu;Yongyi Mao;Jiying Zhao

IEEE Transactions on Information Theory
Year: 2010 | Volume: 56, Issue: 6 | Journal Article |
The survey propagation (SP) algorithm for solving k-SAT problems has been shown recently as an instance of the belief propagation (BP) algorithm. In this paper, we show that for general constraint-satisfaction problems, SP may not be reducible from BP. We also establish the conditions under which such a reduction is possible. Along our development, we present a unification of the existing SP alg...Show More

Is SP BP?

Ronghui Tu;Yongyi Mao;Jiying Zhao

Year: 2010 | Volume: 56, Issue: 6 | Journal Article |

Is SP BP?

Ronghui Tu;Yongyi Mao;Jiying Zhao

2007 IEEE Information Theory Workshop
Year: 2007 | Conference Paper |
Cited by: Papers (1)
In this paper, we investigate the problem how SP may be reduced from BP under certain Markov random field formalism of general constraint-satisfaction problems. We show that unlike the case of k-SAT problems, for general constraint satisfaction problems, certain extra manipulation of BP messages as well as some condition on the structure of the problem may be needed for BP to reduce to SP.Show More
In this paper, we unify survey propagation (SP) for constraint-satisfaction problems as "probabilistic token passing" algorithms. We show that the reduction of SP from belief propagation (BP) for general problems requires a modification of the BP message-passing rule, namely, introducing what we call a state-decoupling operation on the BP messages. This raises a question mark on the recent "folk b...Show More
Speech quality evaluation is an important research topic. The traditional way for speech quality evaluation is using subjective tests. They are reliable, but very expensive, time consuming, and cannot be used in certain applications such as online monitoring. Objective models, based on human perception, were developed to predict the results of subjective tests. The existing objective methods requi...Show More
A celebrated algorithmic discovery in solving constraint satisfaction problems, survey propagation (SP) and its generalization have recently demonstrated their power in areas of communications and data compression. It is known that under certain Markov random field (MRF) formalism of k-SAT problems, SP may be interpreted as an instance of belief propagation (BP). In this paper, we borrow the notio...Show More