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All Outputs (11)

Dynamic Facial Models for Video-Based Dimensional Affect Estimation (2019)
Presentation / Conference Contribution
Song, S., Sánchez-Lozano, E., Kumar Tellamekala, M., Shen, L., Johnston, A., & Valstar, M. (2019, October). Dynamic Facial Models for Video-Based Dimensional Affect Estimation. Presented at 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea (South)

Dimensional affect estimation from a face video is a challenging task, mainly due to the large number of possible facial displays made up of a set of behaviour primitives including facial muscle actions. The displays vary not only in composition but... Read More about Dynamic Facial Models for Video-Based Dimensional Affect Estimation.

Learning with multi-representational texts in a second language: An eye-tracking investigation (2018)
Presentation / Conference Contribution
Jaafar, N. M., Ainsworth, S. E., & van Heuven, W. J. (2018, June). Learning with multi-representational texts in a second language: An eye-tracking investigation. Presented at International Conference of the Learning Sciences, London, UK

© ISLS. Integrating verbal and pictorial information is fundamental in learning multi-representational materials and is reported to correlate with various positive outcomes of learning. To investigate how non-native English readers engage with multi-... Read More about Learning with multi-representational texts in a second language: An eye-tracking investigation.

Exploring the capabilities of Projection Augmented Relief Models (PARM) (2017)
Presentation / Conference Contribution
Priestnall, G., Goulding, J., Smith, A., & Arss, N. (2017, April). Exploring the capabilities of Projection Augmented Relief Models (PARM). Presented at Geographical Information Science Research UK Conference 2017, Manchester, UK

This paper explores the broad capabilities of physical landscape models when augmented by projection, termed Projection Augmented Relief Models (PARM). This includes experiences of developing PARM displays in public settings such as museums and visit... Read More about Exploring the capabilities of Projection Augmented Relief Models (PARM).

Interactions with Projected Augmented Relief Models (PARM) (2017)
Presentation / Conference Contribution
Arss, N., Smith, A. D., & Priestnall, G. Interactions with Projected Augmented Relief Models (PARM). Presented at The Tenth International Conference on Advances in Computer-Human Interactions (ACHI 2017)

Techniques for enhancing physical landscape models with dynamic maps and imagery, termed Projected Augmented Relief Models (PARM), are part of a revival of interest in the power of relief models as tools for geographic visualization. This method enab... Read More about Interactions with Projected Augmented Relief Models (PARM).

An Introduction to Delay-Coupled Reservoir Computing (2014)
Presentation / Conference Contribution
Schumacher, J., Toutounji, H., & Pipa, G. (2013, September). An Introduction to Delay-Coupled Reservoir Computing. Presented at International Conference on Artificial Neural Networks (ICANN 2013), Sofia, Bulgaria

Reservoir computing has been successfully applied in difficult time series prediction tasks by injecting an input signal into a spatially extended reservoir of nonlinear subunits to perform history-dependent nonlinear computation. Recently, the netwo... Read More about An Introduction to Delay-Coupled Reservoir Computing.

Optimized Temporal Multiplexing for Reservoir Computing with a Single Delay-Coupled Node (2014)
Presentation / Conference Contribution
TOUTOUNJI, H., Schumacher, J., & Pipa, G. (2012, October). Optimized Temporal Multiplexing for Reservoir Computing with a Single Delay-Coupled Node. Presented at International Symposium on Nonlinear Dynamics Theory and Application (NOLTA), Palma, Majorca, Spain

The computational performance of reservoir computers based on a single delay-coupled node is critically dependent on the temporal multiplexing of input to the reservoir. Here we present an optimization of the temporal multiplexing by means of optimiz... Read More about Optimized Temporal Multiplexing for Reservoir Computing with a Single Delay-Coupled Node.

An Analytical Approach to Single Node Delay-Coupled Reservoir Computing (2013)
Presentation / Conference Contribution
Schumacher, J., Toutounji, H., & Pipa, G. (2013, September). An Analytical Approach to Single Node Delay-Coupled Reservoir Computing. Presented at 23rd International Conference on Artificial Neural Networks (ICANN), Sofia, Bulgaria

Reservoir computing has been successfully applied in difficult time series prediction tasks by injecting an input signal into a spatially extended reservoir of nonlinear subunits to perform history-dependent nonlinear computation. Recently, the netwo... Read More about An Analytical Approach to Single Node Delay-Coupled Reservoir Computing.

Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems (2011)
Presentation / Conference Contribution
Toutounji, H., Rothkopf, C. A., & Triesch, J. (2011, August). Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems. Presented at 2011 IEEE International Conference on Development and Learning (ICDL), Frankfurt am Main, Germany

Reinforcement Learning, or Reward-Dependent Learning, has been very successful at describing how animals and humans adjust their actions so as to increase their gains and reduce their losses in a wide variety of tasks. Empirical studies have furtherm... Read More about Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems.

On Randomness and the Genetic Behavior of Cellular Automata (2008)
Presentation / Conference Contribution
Toutounji, H., & Aljundi, A. C. (2008, April). On Randomness and the Genetic Behavior of Cellular Automata. Presented at Communication Technologies: from Theory to Applications (ICTTA), Damascus, Syria

We investigate a new approach in utilizing a given classification to cellular automata to search for a particular behavior cellular automaton with a genetic algorithm. This investigation leads to the formation of two new concepts. The first is creati... Read More about On Randomness and the Genetic Behavior of Cellular Automata.

Is Experts' Knowledge Modular? (2001)
Presentation / Conference Contribution
Gobet, F. Is Experts' Knowledge Modular?. Presented at Proceedings of the 23rd Meeting of the Cognitive Science Society

This paper explores, both with empirical data and with computer simulations, the extent to which modularity characterises experts' knowledge. We discuss a replication of Chase and Simon's (1973) classic method of identifying 'chunks', i.e., perceptua... Read More about Is Experts' Knowledge Modular?.