CVPR14年关于图像检索方面的papers,汇总成一个list,方便阅读. 图像检索 Triangulation embedding and democratic aggregation for image search (Orals) Collaborative Hashing (post) Packing and Padding: Coupled Multi-index for Accurate Image Retrieval (post) technical report Bayes M…

CVPR14 图像检索papers——图像检索 1.  Triangulation embedding and democratic aggregation for imagesearch (Orals) 2.  Collaborative Hashing (post) 3.  Packing and Padding: Coupled Multi-index for Accurate ImageRetrieval (post) technical report 4.  Bayes Merging…

原文链接:http://blog.csdn.net/jwh_bupt/article/details/27713453 去年年底的时候在一篇博客中,用ANN的框架解释了BOW模型[1],并与LSH[2]等哈希方法做了比较,当时得出了结论,BOW就是一种经过学习的Hash函数.去年再早些时候,又简单介绍过LLC[3]等稀疏的表示模型,当时的相关论文几乎一致地得出结论,这些稀疏表示的方法在图像识别方面的性能一致地好于BOW的效果.后来我就逐渐产生两个疑问: 1)BOW在检索时好于LSH,那么为什么不…

Advancing Informatics for healthcare and healthcare applications has become an international research priority. There is increased effort to transform reactive care to proactive and preventive care, clinic-centric to patient-centered practice, traini…

IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2014 Industry Track Call for Papers * Apologies if you received multiple copies of this CFP * Beijing China August 17-20, 2014Home Page: www.asonam2014.org F…

IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2014 Industry Track Call for Papers * Apologies if you received multiple copies of this CFP * Beijing China August 17-20, 2014Home Page: www.asonam2014.org F…

Call for PapersInternational Conference for Smart Health (ICSH) 2014 Beijing, China July 10-11, 2014http://www.icsh2014.org Advancing Informatics for healthcare and healthcare applications has become an international research priority. There is incre…

作者:我爱机器学习原文链接:ICML历年Best Papers ICML (Machine Learning)(1999-2016) 2016 Dueling Network Architectures for Deep Reinforcement Learning Ziyu Wang Google Inc. Pixel Recurrent Neural Networks Aaron van den Oord Google DeepMind Ensuring Rapid Mixing and L…

作者:我爱机器学习原文链接:CVPR历年Best Papers CVPR (Computer Vision)(2000-2016) 年份 标题 一作 一作单位 2016 Deep Residual Learning for Image Recognition Kaiming He Microsoft Research 2015 DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-Time Richard A…

作者:我爱机器学习原文链接:SIGKDD历年Best Papers SIGKDD(Data Mining)(1997-2016) 年份 标题 一作 一作单位 2016 FRAUDAR: Bounding Graph Fraud in the Face of Camouflage Bryan Hooi Carnegie Mellon University 2015 Efficient Algorithms for Public-Private Social Networks Flavio Chie…