Mohammad Norouzi

PhD student since Sep 2010
Department of Computer Science
University of Toronto
Supervisor: David Fleet
Research interests:
- Machine Learning
- Computer Vision
- Probabilistic Graphical Models
- Statistical image modeling
- Algorithms and Optimization
Curriculum Vitae
Publications
Fast Search in Hamming Space with Multi-Index Hashing,
Mohammad Norouzi, Ali Punjani, David Fleet,
IEEE Computer Vision and Pattern Recognition (CVPR), 2012. [pdf]
Minimal Loss Hashing for Compact Binary Codes,
Mohammad
Norouzi, David Fleet,
International Conference in Machine
Learning (ICML),
2011. [pdf] [code] [slides:ppt]
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning,
Mohammad Norouzi, Mani Ranjbar, Greg Mori,
IEEE Computer Vision and Pattern Recognition (CVPR), 2009. [pdf]
(Extended version) Master's thesis at Simon Fraser University, 2009. [pdf][slides:ppt]
So far at UofT I took
At SFU I took the following graduate courses
- Machine Learning (A+)
- Special Topics in Computer Vision (A+)
- Algorithms (A+)
- Databases and Data Mining (A+)
- Natural Language Processing (A)
- Special Topics in Autonomous Robots (A-)
- Also audited Bayesian Statistics from stats and Syntax from linguistics