This paper describes an experiment investigating for the first time, the perceptual tolerance of inconsistent projections when rotated billboards are transformed and included in a...
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
In this paper, we propose a new haptic interface based on measurement of two-dimensional patterns of myoelectric potentials on a surface of a forearm. A myoelectric signal is an e...
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...