How to read a paper efficiently Structure of a Journal a Journal Article Title Keywords Abstract Introduction Experimental Results and Discussion Tables, Figures Summary/Conclusions References Two-phase process Phase 1: Surveying the Article to see i…

DON'T DO THAT: read the article from the beginning to end; it's a waste of time! READ A PAPER IN TWO-PHASE PROCESS: Phase 1: surveying the article! to see if it worthes a lot of time to read it. How to "survey" the article: feel free to stop rea…

Natural Language Processing Tasks and Selected References I've been working on several natural language processing tasks for a long time. One day, I felt like drawing a map of the NLP field where I earn a living. I'm sure I'm not the only person who…

数据挖掘方面重要会议的最佳paper集合,兴许将陆续分析一下内容: 主要有KDD.SIGMOD.VLDB.ICML.SIGIR KDD (Data Mining) 2013 Simple and Deterministic Matrix Sketching Edo Liberty, Yahoo! Research 2012 Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping T…

https://github.com/ethereum/wiki/wiki/White-Paper White Paper EditNew Page James Ray edited this page on 4 Mar · 174 revisions A Next-Generation Smart Contract and Decentralized Application Platform An introductory paper to Ethereum, introduced befor…

Link of the Paper: https://arxiv.org/pdf/1412.6632.pdf Main Points: The authors propose a multimodal Recurrent Neural Networks ( AlexNet/VGGNet + a multimodal layer + RNNs ). Their work has two major differences from these methods. Firstly, they inco…

CVPR2016 Paper list ORAL SESSIONImage Captioning and Question Answering Monday, June 27th, 9:00AM - 10:05AM. These papers will also be presented at the following poster session 1 Deep Compositional Captioning: Describing Novel Object Categories Witho…

what has been done: This paper proposed a novel Deep Supervised Hashing method to learn a compact similarity-presevering binary code for the huge body of image data. Data sets:  CIFAR-10: 60,000 32*32 belonging to 10 mutually exclusively categories(6…

目录 故事背景 网络结构 BN和残差学习 拓展到其他任务 发表在2017 TIP. 摘要 Discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward by investigating t…

目录 故事背景 空域特征转换 超分辨率网络 发表在2018年CVPR. 摘要 Despite that convolutional neural networks (CNN) have recently demonstrated high-quality reconstruction for single-image super-resolution (SR), recovering natural and realistic texture remains a challenging prob…