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PREMIA Short Course 2017 Summer


The Pattern Recognition and Machine Intelligence Association (PREMIA) is pleased to organise a short course as follows:

Date: 27 to 28 Sept 2017

Time: 9.00 am --- 5.00pm

Venue: Republic Polytechnic, 9 Woodlands Avenue 9, Singapore 738964


This short course will cover two topics, running back-to-back over consecutive days on the topics shown below.


Schedule (27-28 Sept 2017):






27 Sept Full day

9:00 – 17:00

Dr. Robby TAN

National University of Singapore

Deep Learning: Fundamentals and Advances

28 Sept Morning

9:00 – 12:30


Bioinformatics Institute

Machine Learning Fundamentals



Day 1

Lecture Title: Deep Learning: Fundamentals and Applications

Date & Time: 9:00 -17:00, 27 Sept 2017

Instructor: Dr. Robby Tan


Deep learning has become revolutionary techniques in many research areas of artificial intelligence. This course will cover the basic knowledge and recent advances in deep learning techniques. The first half day will provide hands-on introduction on deep learning methods implementation. Practices, including how to design a deep neural network for a specific
application and how to implement the network using a certain framework, will be taught. The second half day will cover recent advances, ranging from network architectures, optimization techniques to applications in computer vision. Specifically the topics of discussion include:
introduction to neural networks, backpropagation based optimization techniques, how to train a neural network for the specific task, convolutional neural networks, recurrent neural networks, long short-term memory (LSTM) unit and their applications for image
classification, object detection, image segmentation and image description generation. The course will present both basic knowledge and the recent developments in deep learning.


Bio of Instructor:

Robby Tan is an assistant professor at both Yale-NUS College and Department of Electrical and Computer Engineering, National University of Singapore (NUS). His main research is in computer vision and deep learning (machine learning), particularly in the domains of bad weather, physics-based and motion analysis. Before coming to Singapore, he was an assistant professor in Department  of Information and Computing Sciences, Utrecht University, the Netherlands. His previous affiliations include Imperial College London, and NICTA/the Australian National University, working with Prof. Richard Hartley. He received his PhD from the University of Tokyo, under the supervision of Prof. Katsushi Ikeuchi.


Day 2

Lecture Title: Machine Learning: Fundamentals and Applications

Date & Time: 9:00 -12.30, 28 Sept 2017

Instructor: Dr. CHENG Li


This lecture deals with the fundamentals of learning machines under uncertainty. We start by showing a set of working examples of real-world ground-breaking machine learning systems. This is followed by a more in-depth introduction to statistical graphical models, which enable us to discuss concretely the three main machine learning components, namely representation, inference, and learning (aka parameter estimation). Related books includes "Pattern Recognition and Machine Learning" by Chris Bishop, "Pattern Classification and Scene Analysis" by Duda and Hart, and "Probabilistic Graphical Models: Principles and Techniques" by Koller and Friedman.


Bio of Instructor:

Dr. CHENG Li is a principal investigator in Bioinformatics Institute (BII). His research expertise is mainly on computer vision and machine learning. His research work has resulted in over 60 referred papers including those published at journals such as IEEE Trans. Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, as well as conferences such as ICML, NIPS, ICCV, CVPR, MICCAI. Together with Matti Pietikainen and colleagues, He co-edited two books (one published 2011 by Springer, and one at 2009 by IGI Global), and co-organized two international workshops on motion analysis and computer vision. Together with Alex Smola and Marcus Hutter, He co-organized an international summer school on machine learning at Australia. He is a senior member of IEEE. He also holds an adjunct assistant professorship in the School of Computing, National University of Singapore (NUS).


Course Fees:



Members of PREMIA




Student members of PREMIA*


Student non-members*


 (* Limited seats only)

The above registration fees include instructional materials, light refreshments, and one year free membership renewal for members and one year free membership for non-members. Early registration will enjoy discounts. Minimum 20 registered attendees are required. First come first serve. PREMIA’s decision is final.



To register, please register contact PREMIA (email to

Registration will be confirmed upon receipt of course fee, which can be paid by either cheque or Internet banking funds transfer.

For cheque payment, please cross your cheque, make it payable to 'PREMIA', write the name and contact number of each registrant on the back of your cheque, and send it to:


Bioinformatics Institute,

30 Biopolis Street, #07-01 Matrix Building,

Singapore 138671


 For Internet banking funds transfer, the account detail is shown below:

Bank name: Standard Chartered Bank - Holland Village Branch

Bank code: 7144

Branch code: 024

Account name: Pattern Recognition & Machine Intelligence Association

Account no.: 24-0-831177-7


Please inform PREMIA’s Treasurer Dr. CHENG Li (e-mail: after you have performed the bank transfer.  For further details on payment, please also email Dr CHENG Li.

If you have further enquiries, please contact PREMIA short course coordinator:

Dr. Xiong Wei, Email: