Subject
Creator
- Zhongming Liu, 0000-0002-8773-4204 2
- Baichuan Zhang 1
- Bartlomiej P. Rajwa 1
- Haiguang Wen 1
- Murat Dundar 1
- Qiang Kou 1
- Rodrigo Castellanos 1
- Yicheng He 1
Type
- Dataset 3
Date
- 2015 3
subject: Biomedical Engineering date: 2015
Total is 3 Results
Simplicity of K-means versus deepness of Deep Learning. A Case of Unsupervised Feature Learning with Limited Data
10.4231/R7N58J9Z
Baichuan Zhang , Bartlomiej P. Rajwa , Murat Dundar , Qiang Kou , Yicheng He
10/01/2015
A study contrasting K-means-based unsupervised feature learning and deep learning techniques for small data sets with limited intra- as well as inter-class diversity
bacterial colonies BARDOT Biomedical Engineering Computer Science deep learning Elastic light scattering Interdisciplinary Research K-Means Clustering Life Sciences Machine Learning representation learning
Separating Fractal and Oscillatory Components in the Power Spectrum of Neurophysiological Signal
10.4231/R7WQ01R7
09/30/2015
Matlab toolbox for separating the fractal (scale-free) component and oscillatory component in the power spectrum from the mixed time series
Signal Processing Toolbox for Simultaneously Acquired fMRI and EEG
10.4231/R7QF8QT4
Rodrigo Castellanos
,
Zhongming Liu
07/27/2015
This Matlab toolbox includes signal processing functions to remove gradient and pulse artifacts in EEG data recorded simultaneously with fMRI. It is distributed as a GUI plugin for EEGLAB.
Bioinformatics Biomedical Engineering Electrical and Computer Engineering fMRI-EEG independent component analysis Signal Processing Singular value decomposition
Display #
Results 1 - 3 of 3