Kam Woh Ng
About
My research project
Deep visual representation learningThe objective of this project is to develop novel gradient based deep visual representation learning methods. An important goal in representation learning is to allow a system (for example, a neural network) to automatically discover the representations or features needed for classification from raw data. A feature or a data representation is often acted as an input to a machine learning method, and to mathematically compute an output. However, real-world data such as images, video, and sensor data pose challenges as input of a machine learning model as these data are huge in size and often contain a lot of non-linear relationships. Deep representation learning is thus important. In this project, the focus will be on supervised visual representation learning with a focus on incorporating gradient information in the learning. Moreover, more theoretical and practical analysis will be carried out to understand deeply about this proposed research.
Supervisors
The objective of this project is to develop novel gradient based deep visual representation learning methods. An important goal in representation learning is to allow a system (for example, a neural network) to automatically discover the representations or features needed for classification from raw data. A feature or a data representation is often acted as an input to a machine learning method, and to mathematically compute an output. However, real-world data such as images, video, and sensor data pose challenges as input of a machine learning model as these data are huge in size and often contain a lot of non-linear relationships. Deep representation learning is thus important. In this project, the focus will be on supervised visual representation learning with a focus on incorporating gradient information in the learning. Moreover, more theoretical and practical analysis will be carried out to understand deeply about this proposed research.