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Paula Fritzsche, C.Roig, Ana Ripoll, Emilio Luque, & Aura Hernandez-Sabate. (2006). A Performance Prediction Methodology for Data-dependent Parallel Applications. In Proceedings of the IEEE International Conference on Cluster Computing (pp. 1–8).
Abstract: The increase in the use of parallel distributed architectures in order to solve large-scale scientific problems has generated the need for performance prediction for both deterministic applications and non-deterministic applications. In particular, the performance prediction of data dependent programs is an extremely challenging problem because for a specific issue the input datasets may cause different execution times. Generally, a parallel application is characterized as a collection of tasks and their interrelations. If the application is time-critical it is not enough to work with only one value per task, and consequently knowledge of the distribution of task execution times is crucial. The development of a new prediction methodology to estimate the performance of data-dependent parallel applications is the primary target of this study. This approach makes it possible to evaluate the parallel performance of an application without the need of implementation. A real data-dependent arterial structure detection application model is used to apply the methodology proposed. The predicted times obtained using the new methodology for genuine datasets are compared with predicted times that arise from using only one execution value per task. Finally, the experimental study shows that the new methodology generates more precise predictions.
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Philippe Dosch, & Ernest Valveny. (2006). Report on the Second Symbol Recognition Contest. In Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 381–397.
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R. Herault, Franck Davoine, Fadi Dornaika, & Y. Grandvalet. (2006). Simultaneous and robust face and facial action tracking.
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Robert Benavente, Maria Vanrell, & Ramon Baldrich. (2006). A data set for fuzzy colour naming. Color Research & Application, 31(1):48–56.
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Sergio Escalera, Oriol Pujol, & Petia Radeva. (2006). Decoding of Ternary Error Correcting Output Codes. In 11th Iberoamerican Congress on Pattern Recognition (CIARP´06), LNCS 4225: 753–763.
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Sergio Escalera, Oriol Pujol, & Petia Radeva. (2006). ECOC-ONE: A novel coding and decoding strategy.
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Sergio Escalera, Oriol Pujol, & Petia Radeva. (2006). Boosted Landmarks of Contextual Descriptors and Forest-ECOC: a novel framework to detect and classify objects in cluttered scenes.
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Shigang Yue, F. Claire Rind, Matthias S. Keil, Jorge Cuadri, & Richard Stafford. (2006). A bio-inspired visual collision detection mechanism for cars: Optimisation of a model of a locust neuron to a novel environment. Neurocomputing 69(13–15): 1591–1598.
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T. Alejandra Vidal, A. Sanfeliu, & Juan Andrade. (2006). Autonomous Single Camera Exploration.
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T. Alejandra Vidal, Andrew J. Davison, Juan Andrade, & David W. Murray. (2006). Active Control for Single Camera SLAM.
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V. Kober, Mikhail Mozerov, J. Alvarez-Borrego, & I.A. Ovseyevich. (2006). Adaptive Correlation Filters for Pattern Recognition. Pattern Recognition and Image Analysis, 425–431.
Abstract: Adaptive correlation filters based on synthetic discriminant functions (SDFs) for reliable pattern recognition are proposed. A given value of discrimination capability can be achieved by adapting a SDF filter to the input scene. This can be done by iterative training. Computer simulation results obtained with the proposed filters are compared with those of various correlation filters in terms of recognition performance.
Keywords: Pattern recognition, Correlation filters, A adaptive filters
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V. Kober, Mikhail Mozerov, J. Alvarez-Borrego, & I.A. Ovseyevich. (2006). Pattern Recognition of Fragmented Objects with Adaptive Correlation Filters.
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W. Liu, & Josep Llados. (2006). Graphics Recognition. Ten Years Review and Future Perspectives (Vol. 3926). LNCS.
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Xavier Otazu, & Maria Vanrell. (2006). Several lightness induction effects with a computational multiresolution wavelet framework. 29th European Conference on Visual Perception (ECVP’06), Perception Suppl s, 32: 56–56.
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Xavier Otazu, & Oriol Pujol. (2006). Wavelet based approach to cluster analysis. Application on low dimensional data sets. PRL - Pattern Recognition Letters, 27(14), 1590–1605.
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