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A heuristic algorithm for nurse scheduling with balanced preference satisfaction (2011)
Conference Proceeding
Constantino, A. A., Landa-Silva, D., Luiz de Melo, E., & Romao, W. (2011). A heuristic algorithm for nurse scheduling with balanced preference satisfaction.

This paper tackles the nurse scheduling problem with balanced preference satisfaction which consists of generating an assignment of shifts to nurses over a given time horizon and ensuring that the satisfaction of nurses personal preferences for shift... Read More about A heuristic algorithm for nurse scheduling with balanced preference satisfaction.

Principal component analysis of image gradient orientations for face recognition (2011)
Conference Proceeding
Tzimiropoulos, G., Zafeiriou, S., & Pantic, M. (2011). Principal component analysis of image gradient orientations for face recognition.

We introduce the notion of Principal Component Analysis (PCA) of image gradient orientations. As image data is typically noisy, but noise is substantially different from Gaussian, traditional PCA of pixel intensities very often fails to estimate reli... Read More about Principal component analysis of image gradient orientations for face recognition.

Fast and robust appearance-based tracking (2011)
Conference Proceeding
Liwicki, S., Zafeiriou, S., Tzimiropoulos, G., & Pantic, M. (2011). Fast and robust appearance-based tracking.

We introduce a fast and robust subspace-based approach to appearance-based object tracking. The core of our approach is based on Fast Robust Correlation (FRC), a recently proposed technique for the robust estimation of large translational displacemen... Read More about Fast and robust appearance-based tracking.

Congestion aware forwarding in delay tolerant and social opportunistic networks (2011)
Conference Proceeding
Radenkovic, M., & Grundy, A. (2011). Congestion aware forwarding in delay tolerant and social opportunistic networks. In 2011 Eighth International Conference on Wireless On-Demand Network Systems and Services. https://doi.org/10.1109/WONS.2011.5720201

We propose an approach for opportunistic forwarding that supports optimization of multipoint high volume data flow transfer while maintaining high buffer availability and low delays. This paper explores a number of social, buffer and delay heuristics... Read More about Congestion aware forwarding in delay tolerant and social opportunistic networks.

Subspace analysis of arbitrarily many linear filter responses with an application to face tracking (2011)
Conference Proceeding
Zafeiriou, S., Tzimiropoulos, G., & Pantic, M. (2011). Subspace analysis of arbitrarily many linear filter responses with an application to face tracking.

Multi-scale/orientation local image analysis methods are valuable tools for obtaining highly distinctive image-based representations. Very often, these features are generated from the responses of a bank of linear filters corresponding to different s... Read More about Subspace analysis of arbitrarily many linear filter responses with an application to face tracking.

Sparse representations of image gradient orientations for visual recognition and tracking (2011)
Conference Proceeding
Tzimiropoulos, G., Zafeiriou, S., & Pantic, M. (2011). Sparse representations of image gradient orientations for visual recognition and tracking.

Recent results [18] have shown that sparse linear representations of a query object with respect to an overcomplete basis formed by the entire gallery of objects of interest can result in powerful image-based object recognition schemes. In this paper... Read More about Sparse representations of image gradient orientations for visual recognition and tracking.

Audiovisual classification of vocal outbursts in human conversation using long-short-term memory networks (2011)
Conference Proceeding
Eyben, F., Petridis, S., Schuller, B., Tzimiropoulos, G., Zafeiriou, S., & Pantic, M. (2011). Audiovisual classification of vocal outbursts in human conversation using long-short-term memory networks.

We investigate classification of non-linguistic vocalisations with a novel audiovisual approach and Long Short-Term Memory (LSTM) Recurrent Neural Networks as highly successful dynamic sequence classifiers. As database of evaluation serves this year'... Read More about Audiovisual classification of vocal outbursts in human conversation using long-short-term memory networks.