J
John Platt
Researcher at Microsoft
Publications - 369
Citations - 66980
John Platt is an academic researcher from Microsoft. The author has contributed to research in topics: Support vector machine & Artificial neural network. The author has an hindex of 83, co-authored 369 publications receiving 60242 citations. Previous affiliations of John Platt include Google & California Institute of Technology.
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Patent
Image processing using saltating samples
TL;DR: In this paper, a saltating sample image enhancement system and method that provides an image processing operation in which a filter considers one or one or more exact source image pixels, one or many bilinearly interpolated source image samples, where the bilinear weights are coupled to the position of the target pixel relative to the source pixels, and (optionally) one or multiple linearly interpolation source image sample samples, with the linear weights being coupled to position of target pixels relative to source pixels.
Duplicate Detection and Audio Thumbnails with Audio Fingerprinting
TL;DR: This paper presents two new applications: duplicate detection, whose goal is to identify duplicate audio clips in a set, even if they differ in compression quality or duration, and thumbnail generation, which aims at providing a representative short clip of a music track.
The Trill Incremental Analytics Engine
Badrish Chandramouli,Jonathan Goldstein,Mike Barnett,John Wernsing,John Platt,Robert DeLine,Danyel Fisher,James F. Terwilliger,Robert DeLine +8 more
TL;DR: The new Trill is described, which uses a streaming batched-columnar data representation with a new dynamic compilation-based system architecture that addresses all requirements for a query processor to serve the diverse big data analytics space.
Analog decoding using neural networks
John Platt,John J. Hopfield +1 more
TL;DR: In this article, the authors developed a particular error correction code which can be effectively decoded by a relatively simple neural network, which is comparable to that used at present in deep space communications.