开课单位--布拉格捷克技术大学
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1
Prediction of DNA-binding proteins from structural features[从结构特征预测DNA结合蛋白]
  Andrea Szabova(布拉格捷克技术大学) We use logic-based machine learning to distinguish DNAbinding proteins from non-binding proteins. We combine previously suggested coarse-grained featu...
热度:27

2
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples[美国有线电视新闻网(CNN)图像检索从BoW学习:无监督微调(带硬例子)]
  Filip Radenović(布拉格捷克技术大学) Convolutional Neural Networks (CNNs) achieve state-of-the-art performance in many computer vision tasks. However, this achievement is preceded by extr...
热度:54

3
Entity Linking and Lexico-Semantic Patterns for Ontology Learning[本体学习的实体链接和词典语义模式]
  Lama Saeeda(布拉格捷克技术大学) Entity Linking and Lexico-Semantic Patterns for Ontology Learning
热度:40

4
Sumatra TT - Towards a universal data preprocessor[Sumatra TT - 对一个通用的数据预处理]
  Petr Aubrecht(布拉格捷克技术大学) Towards a universal data preprocessor
热度:37

5
Online Clustering of High-Dimensional Trajectories under Concept Drift[在概念漂移高维轨迹的在线聚类]
  Georg Krempl(布拉格捷克技术大学) Historical transaction data are collected in many applications, e.g., patient histories recorded by physicians and customer transactions collected by ...
热度:65

6
Visual Tracking in the 21st Century[ 21 世纪的视觉跟踪]
  Jiri Matas(布拉格捷克技术大学) Visual tracking is an old area that has recently seen a surge in activity. The interest has been fueled by progress in related fields like detection, ...
热度:44

7
Agent technologies for VE + SW demonstrations: MAS Tutorial[代理技术的VE + SW演示:MAS教程]
  Jiří Hodík(布拉格捷克技术大学) 代理技术的VE + SW演示:MAS教程
热度:33

8
Emergent Behaviour Techniques in Multi-Agent Systems[多智能体系统中的突现行为技术]
  Vladimír Mařík(布拉格捷克技术大学) 多智能体系统中的突现行为技术  
热度:55

9
Virtual reality for VE[虚拟企业的虚拟现实]
  Pavel Slavík(布拉格捷克技术大学) 虚拟企业的虚拟现实
热度:32

10
VR: practical experience in CAVE laboratory[虚拟现实:实践经验在洞穴实验室]
  Pavel Slavík(布拉格捷克技术大学)
热度:54
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