Titlebook: Visualization in Mathematics, Reading and Science Education; Linda M. Phillips,Stephen P. Norris,John S. Macnab Book 2010 Springer Science

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Linda M. Phillips,Stephen P. Norris,John S. Macnabn learn features from Euclidean data such as images. In this work, we propose a novel method to combine CNNs with GCNs (CNN-GCN), that can consider both Euclidean and non-Euclidean features and can be trained end-to-end. We applied this method to separate the pulmonary vascular trees into arteries a

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ty query, however, finding the relevant queries from these resources is far from trivial. Entity query is a special kind of short queries that commonly appear in image search, video search or object search. Focusing on related entity recommendation, this paper proposes to collect rich related entiti

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Linda M. Phillips,Stephen P. Norris,John S. Macnab NP-complete problem, even for binary trees. Therefore, we design layout graph grammars which guarantee polynomial time constructions of optimal layouts of graphs. This is achieved by the restriction to polynomial graph grammars and layout specifications, which can be computed efficiently by an attr

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