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Found 3 papers, 1 papers with code
Improved Linear Embeddings via Lagrange Duality
Near isometric orthogonal embeddings to lower dimensions are a fundamental tool in data science and machine learning.
Deep-Learnt Classification of Light Curves
As a result standard time series methods regularly used for financial and similar datasets are of little help and astronomers are usually left to their own instruments and techniques to classify light curves.
Deep Neural Networks for HDR imaging
We propose novel methods of solving two tasks using Convolutional Neural Networks, firstly the task of generating HDR map of a static scene using differently exposed LDR images of the scene captured using conventional cameras and secondly the task of finding an optimal tone mapping operator that would give a better score on the TMQI metric compared to the existing methods.
