منابع مشابه
Distributed Consistent Data Association
Data association is one of the fundamental problems in multi-sensor systems. Most current techniques rely on pairwise data associations which can be spurious even after the employment of outlier rejection schemes. Considering multiple pairwise associations at once significantly increases accuracy and leads to consistency. In this work, we propose two fully decentralized methods for consistent g...
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In this paper we address the data association problem of features observed by a robot team with limited communications. At every time instant, each robot can only exchange data with a subset of the robots, its neighbors. Initially, each robot solves a local data association with each of its neighbors. After that, the robots execute the proposed algorithm to agree on a data association between a...
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An important task for relational learning is Bayesian network (BN) structure learning. A fundamental component of structure learning is a model selection score that measures how well a model fits a dataset. We describe a new method that upgrades for multi-relational databases, a loglinear BN score designed for single-table i.i.d. data. Chickering and Meek showed that for i.i.d. data, standard B...
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We describe a new method for extending, or upgrading, a Bayesian network (BN) score designed for i.i.d. data to multirelational data. The method defines a gain function that measures the difference in data fit between two structures. Our upgrade method preserves consistency, in the sense that if the i.i.d. score is consistent for i.i.d. data, the upgraded version is consistent for multi-relatio...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2016
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2015.2491922