Subject
Creator
- Ahmed Khaled Soliman 1
- Andres Torres 1
- Baichuan Zhang 1
- Bartlomiej P. Rajwa 1
- Chang Heon Lee 1
- Guilherme A. Ribeiro 1
- Li-fan Wu 1
- Mo Rastgaar, 0000-0003-4638-3345 1
- Murat Dundar 1
- Qiang Kou 1
Type
- Dataset 2
Date
subject: Machine Learning subject: Biomedical Engineering type: dataset
Total is 2 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
Gait phase estimation using wearable sensors and PCA based linear regression model
10.4231/Q0HY-AT09
Ahmed Khaled Soliman
,
Andres Torres
,
Chang Heon Lee
,
Guilherme A. Ribeiro
,
Li-fan Wu
,
Mo Rastgaar
05/16/2022
Estimating gait realtime through 2 wearable sensors and a PCA based linear regression model.
Acceleration Biomedical Engineering Machine Learning Mechanical Engineering PCA Robotics Stepwise Multiple linear Regression Wearable Device
Display #
Results 1 - 2 of 2