Text Recognition
Fully Convolutional Recurrent Network for Handwritten Chinese Text Recognition paper
Deep LSTM Networks for Online Chinese Handwriting Recognition 2016 ICFHR
Convolution Multi-directional Recurrent Network for Offline Handwritten Text Recognition 2016 ICFHR
Sequence to Sequen继续阅读 »
Got from zzw922cn/awesome-speech-recognition-papers.
Automatic speech recognition paper roadmap, including HMM, DNN, RNN, CNN, Seq2Seq, Attention
Introduction
Automatic Speech Recognition has been investigated for several decades, and speech recognition models are from HMM-GMM to deep neural networks today. It's ver继续阅读 »
文/Robin
在多年以前，笔者有坚持每天写日记的习惯，软件使用的是 Day One。不过现在懒了，Day One 记的日记就在那里躺着。目前笔者依旧在用着 Day One，偶尔记一些笔记。在 Day One 之外，笔者还同时使用着印象笔记和 Dropbox Paper，印象笔记更多是作为知识库，使用频率最高的，还是 Dropbox Paper。
直到出现了 flomo，笔者也第一时间参与了内测。这款记笔记的工具，解决问题的思路，确实挺新颖的。
可能读者好奇了，笔记产品那么多，为何设计 flomo ？作者是这样说的。
我们认为，笔记产品的核心不是在于功能强大和排版好看，更不是去模拟传统的写作环境。真正好的笔记产品，应该能继续阅读 »
I got a good things on GitHub, and share it here. There are some classical papers about deep learning.
Survey Review
Deep learning (2015), Y. LeCun, Y. Bengio and G. Hinton [pdf] :sparkles:
Deep learning in neural networks: An overview (2015), J. Schmidhuber [pdf] :sparkles:
Representation learning: A review and new 继续阅读 »
去年在美图公司实习的时候，研究了一段时间的SDM方法，写了一系列的博客，见《Supervised Descent Method and its Applications to Face Alignment》等，今年来到了杭州，进入了图片社交领域的佼佼者in实习，主要还是做人脸对齐。最近一段时间，一直在研究《Face Alignment at 3000 FPS via Regressing Local Binary Features》这篇文章，也为此搜集了很多资料，特整理在此，以供参考。
paper:
3000fps论文链接:
Face Alignment at 3000 FPS via Regressing Local继续阅读 »