1 Technical University of Munich 2 Max Planck Institute for Informatics 3 University of Erlangen-Nuremberg Abstract We present a method for the real-time transfer of facial expressions from an actor in a source video to an actor in a target video, thus enabling the ad-hoc control of the facial expressions of the target actor. The novelty of our approach lies in the transfer and photo-realistic re-
Gabriel Gonzalez explains how to compile a subset of Haskell into typed lambda calculus and share the pieces safely online. He believes that rather than distributing packages or modules we can distibute typed program fragments. This allows programs to be built safely and flexibly. Watch him give an actual demo of building programs from this code ocean. Summary Key idea: we can make it much easier
README.md The Luna Programming Language Luna is a symbolic and rule based programming language - built as a hobby project in an attempt to further understanding the inner working of other similar languages (such as the Wolfram Language and Prolog). While this project does not have any ultimate goal, it is in a workable condition, and quite complex programs can be written from the very small syntax
I just published a book: Real-Time Crypto! Learn how to use Bitcoin data to train an algorithm to execute crypto trades in real-time. Gain insight into blockchain and big data architectures. Walk away with the know how to build a quantitative trading pipeline on your own. If you like my blog I think you are going to love my book! I would love for you to check it out and let me know what you think.
When traversing trees with DFS, orderings are easy to define: we have pre-order, which visits a node before recursing into its children; in-order, which visits a node in-between recursing into its children; post-order, which visits a node after recursing into its children. However, for directed graphs, these orderings are not as natural and slightly different definitions are used. In this article
For most deep learning algorithms training is notoriously time consuming. Since most of the computation in training neural networks is typically spent on floating point multiplications, we investigate an approach to training that eliminates the need for most of these. Our method consists of two parts: First we stochastically binarize weights to convert multiplications involved in computing hidden
"How am I talking to you right now?" Sussman asked. Sussman seemed to be talking about the shared symbolic values being held in the conversation, and at this point I started to understand. "Sure, when you're running the program, that whole thing is a black box. So is your brain. But you can explain to me the reasoning of why you did something. At that point, being able to inspect the symbolic reas
(This blog post discusses CPU time profiling, but not space (memory) profiling. We’ll come back to that in a Part 2.) We use a range of different programming languages at Pusher and are always looking for ways to squeeze every bit of performance from them. Recently, I’ve been on a project to explore what other \[…\] (This blog post discusses CPU time profiling, but not space (memory) profiling. We
Foldable for non-Haskellers: Haskell's controversial FTP proposal 13/Oct 2015 In the Haskell world, there is currently a big fuss about the “Foldable/Traversable in Prelude”-proposal. Edit: For the record: it was a proposal, and has been implemented in the current version of Haskell (GHC) As a non-Haskeller, you probably wonder what all the fuss is about. First things first: some context In most l
2015年にもなるのにJavaScriptでのDOM操作のパフォーマンスについて書く。ウェブページにインタラクションを持たせたい時に、JavaScriptでDOM操作を行うことがよくある。このDOM操作のパフォーマンスについて、よく聞く意見を大別すると次の2つがある。 JavaScriptによるDOM操作は重たい レンダリングが重いだけで、DOM操作そのものはそれほど重たくない JavaScriptでオブジェクトのプロパティを操作したりする単体の処理は通常1ミリ秒もかからないが、DOM操作をするとレンダリングが完了するまでに数十ミリ秒程度かかったりする場合がある。1番目のDOM操作が重たいと言っている人は経験則的にそう言っていることが多い。 レンダリングの仕組みを知っている人は2番目の意見を言うが、重箱の隅をつつくような話をするとこれも必ずしも正しいわけではない。DOM操作するコードによっ
MSS Sound System 2015 years works. Please listen to me. There will became especial experiments for you.
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