Outputs (139)

The Constraint Satisfaction Problem: Complexity and Approximability (2017)
Book
Krokhin, A., & Zivny, S. (2017). The Constraint Satisfaction Problem: Complexity and Approximability. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik

Unsupervised Extraction of Training Data for Pre-Modern Chinese OCR (2017)
Presentation / Conference Contribution
(2017, December). Unsupervised Extraction of Training Data for Pre-Modern Chinese OCR. Presented at Thirtieth International Florida Artificial Intelligence Research Society Conference, Florida

Towards Moral Autonomous Systems (2017)
Report
Charisi, V., Dennis, L., Fisher, M., Lieck, R., Matthias, A., Slavkovik, M., …Yampolskiy, R. (2017). Towards Moral Autonomous Systems. [No known commissioning body]

Mean-Field Analysis of Loss Models with Mixed-Erlang Distributions under Power-of-d Routing (2017)
Presentation / Conference Contribution
Vasantam, T., Mukhopadhyay, A., & Mazumdar, R. R. (2017, December). Mean-Field Analysis of Loss Models with Mixed-Erlang Distributions under Power-of-d Routing. Presented at 2017 29th International Teletraffic Congress (ITC 29)

Describing unseen classes by exemplars: Zero-shot learning using grouped simile ensemble (2017)
Presentation / Conference Contribution
Long, Y., & Shao, L. (2017, December). Describing unseen classes by exemplars: Zero-shot learning using grouped simile ensemble. Presented at 2017 IEEE winter conference on applications of computer vision (WACV) IEEE

Essential features of serious games design in higher education: Linking learning attributes to game mechanics (2017)
Journal Article
Lameras, P., Arnab, S., Dunwell, I., Stewart, C., Clarke, S., & Petridis, P. (2017). Essential features of serious games design in higher education: Linking learning attributes to game mechanics. British Journal of Educational Technology, 48(4), 972-994

Nested shallow cnn-cascade for face detection in the wild (2017)
Presentation / Conference Contribution
Deng, J., & Xie, X. (2017, December). Nested shallow cnn-cascade for face detection in the wild. Presented at 2017 12th IEEE International Conference on Automatic Face \& Gesture Recognition (FG 2017) IEEE

Automatic stylistic composition of Bach chorales with deep LSTM (2017)
Presentation / Conference Contribution
Liang, F., Gotham, M., Johnson, M., & Shotton, J. (2017, October). Automatic stylistic composition of Bach chorales with deep LSTM. Presented at ISMIR 2017: 18th International Society for Music Information Retrieval Conference, Suzhou

This paper presents "BachBot": an end-to-end automatic composition system for composing and completing music in the style of Bach's chorales using a deep long short-term memory (LSTM) generative model. We propose a new sequential encoding scheme for... Read More about Automatic stylistic composition of Bach chorales with deep LSTM.

Learning feature extractors for AMD classification in OCT using convolutional neural networks (2017)
Presentation / Conference Contribution
Ravenscroft, D., Deng, J., Xie, X., Terry, L., Margrain, T. H., North, R. V., & Wood, A. (2017, December). Learning feature extractors for AMD classification in OCT using convolutional neural networks. Presented at 2017 25th European Signal Processing Conference (EUSIPCO) IEEE

Texture to the rescue: Practical paper fingerprinting based on texture patterns (2017)
Journal Article
Toreini, E., Shahandashti, S. F., & Hao, F. (2017). Texture to the rescue: Practical paper fingerprinting based on texture patterns