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Found 4 papers, 0 papers with code
A review of systematic selection of clustering algorithms and their evaluation
As the selection of the right clustering procedure is crucial to the results of the data analysis, users are in need for support on their journey of extracting knowledge from raw data.
Localization and Tracking of User-Defined Points on Deformable Objects for Robotic Manipulation
This paper introduces an efficient procedure to localize user-defined points on the surface of deformable objects and track their positions in 3D space over time.
GAN based ball screw drive picture database enlargement for failure classification
The main goal of this paper is to generate synthetic images based on the generative adversarial network (GAN) to enlarge the image dataset of ball screw surface failures.
Context-based Image Segment Labeling (CBISL)
Based on published gated PixelCNNs, we demonstrate a new approach referred to as quadro-directional PixelCNN to recover missing objects and return probable positions for objects based on the context.
