This is not an officially supported Google product. If you are using our data, metadata, or pre-trained models (new as of 07/17/2022), see the "Downloads" section of the project page. If you are ...
Abstract: As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest neighbor techniques for producing product recommendations, allowing the ...
Abstract: Inverse problems in multi-dimensional imaging, e.g., completion, denoising, and compressive sensing, are challenging owing to the big volume of the data and the inherent illposedness. To ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results