no code implementations • 5 Feb 2024 • Juncai He, Liangchen Liu, Yen-Hsi Richard Tsai
This paper investigates the impact of multiscale data on machine learning algorithms, particularly in the context of deep learning.
no code implementations • 15 Sep 2023 • Lukas Taus, Yen-Hsi Richard Tsai
By taking into account these properties, we discuss the differences in using greedy and $\epsilon$-greedy algorithms to generate data and their impact on the robustness of the network.
no code implementations • 18 Oct 2020 • Louis Ly, Yen-Hsi Richard Tsai
Although the value function enables optimal controls, it is prohibitively expensive to compute, even for a single pursuer and single evader on a small grid.
no code implementations • 25 Nov 2019 • Liangchen Liu, Louis Ly, Colin Macdonald, Yen-Hsi Richard Tsai
We propose a new framework for the sampling, compression, and analysis of distributions of point sets and other geometric objects embedded in Euclidean spaces.
no code implementations • 17 Sep 2018 • Louis Ly, Yen-Hsi Richard Tsai
We consider the exploration problem: an agent equipped with a depth sensor must map out a previously unknown environment using as few sensor measurements as possible.
no code implementations • 8 May 2013 • Alexander V. Mamonov, Isabel N. Figueiredo, Pedro N. Figueiredo, Yen-Hsi Richard Tsai
The algorithm acts as a binary classifier, which labels the frame as either containing polyps or not, based on the geometrical analysis and the texture content of the frame.