Subject
Creator
- Zhongming Liu 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
We study a biodetection application as a case study to demonstrate that K-means-based unsupervised feature learning can be a simple yet effective alternative to deep learning techniques for small data sets with limited intra- as well as inter-class diversi...
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
Neurophysiological field-potential signals con- sist of both arrhythmic and rhythmic patterns indicative of the fractal and oscillatory dynamics arising from likely distinct mechanisms. Here, we present a new method, namely the irregular-resampling auto-sp...
Signal Processing Toolbox for Simultaneously Acquired fMRI and EEG
10.4231/R7QF8QT4
Rodrigo Castellanos, Zhongming Liu
07/27/2015
EEG signals simultaneously acquired during fMRI are noisy and contain artifacts that primarily arise from MRI gradient switching and cardiac pulsation. This toolbox includes a set of open-source Matlab functions implementing several published algorithms fo...
Bioinformatics Biomedical Engineering Electrical and Computer Engineering fMRI-EEG independent component analysis Signal Processing Singular value decomposition
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