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Realistic Hair Simulation Using Image Blending
In this presented work, we propose a realistic hair simulator using image blending for dermoscopic images.
On the Worst-case Communication Overhead for Distributed Data Shuffling
At each iteration over the data, it is common practice to randomly re-shuffle the data at the master node, assigning different batches for each worker to process.
Information Theoretic Limits of Data Shuffling for Distributed Learning
Data shuffling is one of the fundamental building blocks for distributed learning algorithms, that increases the statistical gain for each step of the learning process.
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