开课单位--牛津大学
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Fisher Vector Faces in the Wild[野外费舍尔矢量面孔]
Karen Simonyan(牛津大学) Several recent papers on automatic face verification have significantly raised the performance bar by developing novel, specialised representations th...
热度:17
Karen Simonyan(牛津大学) Several recent papers on automatic face verification have significantly raised the performance bar by developing novel, specialised representations th...
热度:17
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High throughput network analysis[高通量网络分析]
Sumeet Agarwal(牛津大学) Here, we presume that there is some valuable information encoded in the network; the problem is simply to find it. One approach for doing so is to dra...
热度:13
Sumeet Agarwal(牛津大学) Here, we presume that there is some valuable information encoded in the network; the problem is simply to find it. One approach for doing so is to dra...
热度:13
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Bayesian Optimization in a Billion Dimensions via Random Embeddings[基于随机嵌入的十亿维贝叶斯优化]
Nando de Freitas(牛津大学) Bayesian optimization techniques have been successfully applied to robotics, planning, sensor placement, recommendation, advertising, intelligent user...
热度:30
Nando de Freitas(牛津大学) Bayesian optimization techniques have been successfully applied to robotics, planning, sensor placement, recommendation, advertising, intelligent user...
热度:30
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Build it, and they will come: Applications of semantic technology[建立它,它们就会到来:语义技术的应用]
Ian Horrocks(牛津大学) Semantic technologies are rapidly becoming mainstream, with RDF, OWL and SPARQL now supported by a range of commercial systems and used in diverse app...
热度:25
Ian Horrocks(牛津大学) Semantic technologies are rapidly becoming mainstream, with RDF, OWL and SPARQL now supported by a range of commercial systems and used in diverse app...
热度:25
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PCA by Determinant Optimization has no Spurious Local Optima[基于行列式优化的PCA没有虚假局部最优]
Raphael Hauser(牛津大学) PCA by Determinant Optimization has no Spurious Local Optima
热度:20
Raphael Hauser(牛津大学) PCA by Determinant Optimization has no Spurious Local Optima
热度:20
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Trainable visual models for object classification[物体分类的可训练视觉模型]
Andrew Zisserman(牛津大学) The general theme of the tutorial will be 'trainable visual models for object classification'. I will cover: the difficulty of the problem a f...
热度:23
Andrew Zisserman(牛津大学) The general theme of the tutorial will be 'trainable visual models for object classification'. I will cover: the difficulty of the problem a f...
热度:23
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Query-Based Entity Comparison in Knowledge Graphs Revisited[知识图中基于查询的实体比较]
Alina Petrova(牛津大学) Query-Based Entity Comparison in Knowledge Graphs Revisited
热度:23
Alina Petrova(牛津大学) Query-Based Entity Comparison in Knowledge Graphs Revisited
热度:23
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SEO: A Scientific Events Data Mode[SEO:科学事件数据模式]
Sahar Vahdati(牛津大学) SEO: A Scientific Events Data Mode
热度:26
Sahar Vahdati(牛津大学) SEO: A Scientific Events Data Mode
热度:26
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Mondrian forests: Efficient random forests for streaming data via Bayesian nonparametrics[蒙德里安森林:通过贝叶斯非参数数据流的有效随机森林]
Yee Whye Teh(牛津大学) Ensembles of randomized decision trees are widely used for classification and regression tasks in machine learning and statistics. They achieve compet...
热度:75
Yee Whye Teh(牛津大学) Ensembles of randomized decision trees are widely used for classification and regression tasks in machine learning and statistics. They achieve compet...
热度:75
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Advanced STED microscopy of the membrane organisation in activating T-cells[激活T细胞的膜组织高级扫描电镜]
Iztok Urbančič(牛津大学) Nanoscale organization of the membranes of living cells plays crucial roles in numerous vital processes, including during the activation of T-cells an...
热度:49
Iztok Urbančič(牛津大学) Nanoscale organization of the membranes of living cells plays crucial roles in numerous vital processes, including during the activation of T-cells an...
热度:49