图 书 馆开课单位--代尔夫特工业大学
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1Computing All-Pairs Shortest Paths by Leveraging Low Treewidth[利用低树宽计算所有对最短路径]
Léon Planken(代尔夫特工业大学) Considering directed graphs on n vertices and m edges with real (possibly negative) weights, we present two new, efficient algorithms for computing al...
热度：67
Léon Planken(代尔夫特工业大学) Considering directed graphs on n vertices and m edges with real (possibly negative) weights, we present two new, efficient algorithms for computing al...
热度：67
2Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laurens van der Maaten[通过最大熵谱降维，包括讨论劳伦斯范德华maaten]
Neil D. Lawrence, Laurens van der Maaten(代尔夫特工业大学) We introduce a new perspective on spectral dimensionality reduction which views these methods as Gaussian random fields (GRFs). Our unifying perspecti...
热度：55
Neil D. Lawrence, Laurens van der Maaten(代尔夫特工业大学) We introduce a new perspective on spectral dimensionality reduction which views these methods as Gaussian random fields (GRFs). Our unifying perspecti...
热度：55
3Bag Dissimilarities for Multiple Instance Learning[多实例学习的袋差异]
David M. J. Tax(代尔夫特工业大学) When objects cannot be represented well by single feature vectors, a collection of feature vectors can be used. This is what is done in Multiple Insta...
热度：72
David M. J. Tax(代尔夫特工业大学) When objects cannot be represented well by single feature vectors, a collection of feature vectors can be used. This is what is done in Multiple Insta...
热度：72
4Barriers and Drivers of Digital Transformation in Public Organizations[公共组织数字化转型的障碍和驱动力]
Luca Tangi(代尔夫特工业大学) Barriers and Drivers of Digital Transformation in Public Organizations
热度：33
Luca Tangi(代尔夫特工业大学) Barriers and Drivers of Digital Transformation in Public Organizations
热度：33
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