Learning about:
Machine learning/ Deep learning/ Medical image analysis/ Data science/ Database/ Algorithms/ Mathematics/
Courses:
- CS6900: Computer Graphics Visualize (The Visualization ToolKit)
- CS6900: Advanced Topics in Image Analysis & Learning (Deep Learning)
- CS6900: Geometric Computing
- CS6840: Natural Language Processing
- CS6820: Machine Learning
- CS6410: Medical Image Analysis
- CS6040: Advanced Algorithms
- CS6572: Software Design
- CS5610D: Data Structures
- Operating Systems
- CS231n: Convolutional Neural Networks for Visual Recognition
- Neural networks class - Université de Sherbrooke
Research history
Failure
- Metric Learning in Machine Learning, Fall 2014
- Improve metric learning by using Lie Group theory in updating parameters.
- Up: result of MM-LMNN; Down: result of our method.
- Improve metric learning by using Lie Group theory in updating parameters.
- Parallel SVM in Machine Learning, Spring 2014
- Extend SVM to separate three classes samples by two parallel lines.
- Kernelize this method to achieve nonlinear separation.