目录 故事背景 本文方法(DBIQ) 发表在2016年Neurocomputing. 摘要 JPEG is the most commonly used image compression standard. In practice, JPEG images are easily subject to blocking artifacts at low bit rates. To reduce the blocking artifacts, many deblocking algorithms…
Carlo Batini, Cinzia Cappiello, Chiara Francalanci, and Andrea Maurino. 2009. Methodologies for data quality assessment and improvement. ACM Comput. Surv. 41, 3, Article 16 (July 2009), 52 pages. (gs:173) 这篇论文是关于数据质量方法的综述,全文共52页(其中正文34页,附录18页),对现有的"d…
In one embodiment, a computing device (e.g., border router or network management server) transmits a discovery message into a computer network, such as in response to a given trigger. In response to the discovery message, the device receives a unicas…
http://www.molecularevolution.org/resources/activities/QC_of_NGS_data_activity_new table of contents expected learning outcomes getting started exercise 1: checking Illumina data with the FASTX-Toolkit exercise 2: checking 454 data with the FASTX-Too…
CVPR2017 paper list Machine Learning 1 Spotlight 1-1A Exclusivity-Consistency Regularized Multi-View Subspace Clustering Xiaojie Guo, Xiaobo Wang, Zhen Lei, Changqing Zhang, Stan Z. Li Borrowing Treasures From the Wealthy: Deep Transfer Learning Thro…
IPTV的服务质量(QoE)要求 Quality of experience requirements for IPTV services Summary This Recommendation defines user requirements for Quality ofExperience for IPTV services. The QoE requirements are defined from an end userperspective and are agnostic to n…
这篇blog,原来是西弗吉利亚大学的Li xin整理的,CV代码相当的全,不知道要经过多长时间的积累才会有这么丰富的资源,在此谢谢LI Xin .我现在分享给大家,希望可以共同进步!还有,我需要说一下,不管你的理论有多么漂亮,不管你有多聪明,如果没有实验来证明,那么都是错误的. OK~本博文未经允许,禁止转载哦! By wei shen Reproducible Research in Computational Science “It doesn't matter how beautif…
This Chapter outlines the logical steps to writing a good research paper. To achieve supreme excellence or perfection in anything you do, you need more than just the knowledge. Like the Olympic athlete aiming for the gold medal, you must have a posit…
论文地址:面向基于深度学习的语音增强模型压缩 论文代码:没开源,鼓励大家去向作者要呀,作者是中国人,在语音增强领域 深耕多年 引用格式:Tan K, Wang D L. Towards model compression for deep learning based speech enhancem…
郑重声明:原文参见标题,如有侵权,请联系作者,将会撤销发布! Abstract: 在深度学习的最新进展的启发下,我们提出了一种基于卷积神经网络(CNN)的视频压缩框架DeepCoder.我们分别对预测信号和残差信号应用独立的CNN网络.采用标量量化和哈夫曼编码将量化后的特征映射编码为二进制流.本文采用固定的32×32块来证明我们的想法,并与已知的H.264/AVC视频编码标准进行了性能比较,具有可比较的率失真性能.这里使用结构相似性(SSIM)来测量失真,因为它更接近感知响应. I. INTRO…
Predicting effects of noncoding variants with deep learning–based sequence model PDF Interpreting noncoding variants- 非常好的学习资料 这篇文章的第一个亮点就是直接从序列开始分析,第二就是使用深度学习获得了很好的预测效果. This is, to our knowledge, the first approach for prioritization of functional…
