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TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text
We demonstrate that temporal stroke information recovered by TRACE from offline data can be used for handwriting synthesis and establish the first benchmarks for a stroke trajectory recovery system trained on the IAM online handwriting dataset.
Preprocessor Selection for Machine Learning Pipelines
Much of the work in metalearning has focused on classifier selection, combined more recently with hyperparameter optimization, with little concern for data preprocessing.
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