文档地址:戳我 总结: (i) aims to generate scientific and engineering advances in fields of import to Google, (目标) (ii) does so in a way that tends to factorize longer projects (perhaps with very challenging goals) into discrete, achievable steps (each of whic…

最近认真的研读了这篇关于降噪的论文.它是一种利用混合模型降噪的方法,即既利用了生成模型(MoG高斯模型),也利用了判别模型(神经网络NN模型).本文根据自己的理解对原理做了梳理. 论文是基于"Speech Enhancement Using a Mixture-Maximum Model"提出的MixMAX模型的.假设噪声是加性噪声,干净语音为x(t),噪声为y(t),则在时域带噪语音z(t)可以表示为z(t) = x(t) + y(t).对z(t)做短时傅里叶变换(STFT)得到Z(…

REF: 原文 Recommender Systems: Issues, Challenges, and Research Opportunities Shah Khusro, Zafar Ali and Irfan Ullah Abstract A recommender system is an Information Retrieval technology that improves access and proactively recommends relevant items to…

Spatial Sound Research What are our goals? The basic goal of our research is to develop cost-effective methods for synthesizing fully three-dimensional spatial sound. Our approach is based on measuring, understanding, and modeling the effects of the…

谷歌分布式三宝 BigTable.GFS.MapReduce这传说中的谷歌分布式三驾马车,虽然谷歌没有公开具体实现代码,但却公布了相应论文,对分布式文件系统.大数据挖掘和NoSQL流行起了重大促进作用,开源界相对应产品是Hbase.HDFS.Hadoop;距谷歌这三篇论文发表已近10年,谷歌内部这三驾马车也在更新换代: BigTable--MegaStore--Spanner.F1 GFS--Colossus MapReduce--MapReduce.Percolator.Dremel Mega…

This article come from HEREARS-L1: Learning Tuesday 10:30–12:30; Oral Session; Room: Leonard de Vinci 10:30  ARS-L1.1—GROUP STRUCTURED DIRTY DICTIONARY LEARNING FOR CLASSIFICATION Yuanming Suo, Minh Dao, Trac Tran, Johns Hopkins University, USA; Hojj…

Gartner 2018 年WAF魔力象限报告:云WAF持续增长,Bot管理与API安全拥有未来 来源 https://www.freebuf.com/articles/paper/184903.html AngelaY  2018-09-19  *AngelaY 编译整理,转载请注明来自 FreeBuf.COM 8 月 29 日,Gartner 发布 2018 年度 Web 应用防火墙(WAF)魔力象限,这是 Gartner 自 2014 年之后连续第五年发布此类报告.报告中照例描述了全球 W…

Accepted Papers by Session Research Session RT01: Social and Graphs 1Tuesday 10:20 am–12:00 pm | Level 3 – Ballroom AChair: Tanya Berger-Wolf Efficient Algorithms for Public-Private Social NetworksFlavio Chierichetti,Sapienza University of Rome; Ales…

转自:https://github.com/terryum/awesome-deep-learning-papers Awesome - Most Cited Deep Learning Papers A curated list of the most cited deep learning papers (since 2010) I believe that there exist classic deep learning papers which are worth reading re…

I've seen and had lots of discussion about "package by layer" vs "package by feature" over the past couple of weeks. They both have their benefits but there's a hybrid approach I now use that I call "package by component". To…