19 citations · 34 across the 20 of their papers we have counts for
Showing 2017Show all
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cs.LG2017★ 8 cited
nuts-flow/ml: data pre-processing for deep learning
S. Maetschke, R. Tennakoon, C. Vecchiola +1
Data preprocessing is a fundamental part of any machine learning application and frequently the most time-consuming aspect when developing a machine learning solution. Preprocessin…
cs.CV2017★ 19 cited
Effective Sampling: Fast Segmentation Using Robust Geometric Model Fitting
Ruwan Tennakoon, Alireza Sadri, Reza Hoseinnezhad +1
Identifying the underlying models in a set of data points contaminated by noise and outliers, leads to a highly complex multi-model fitting problem. This problem can be posed as a…