Atomic layer deposition (ALD), a gas-phase thin film deposition technique based on repeated, self-terminating gas-solid reactions, has become the method of choice in semiconductor manufacturing and many other technolo...
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Part I of this special issue is devoted to the physical layer, MAC layer, and physical-link cross-layer design technologies of vehicular communications and networks. There are 21 papers in this issue.
Part I of this special issue is devoted to the physical layer, MAC layer, and physical-link cross-layer design technologies of vehicular communications and networks. There are 21 papers in this issue.
This working note describes the participation of TIA-INAOE in the Photographic Retrieval and the Large Scale image Annotation tracks at imageCLEF2009. We developed specific methods for each track with the goal of expl...
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This working note describes the participation of TIA-INAOE in the Photographic Retrieval and the Large Scale image Annotation tracks at imageCLEF2009. We developed specific methods for each track with the goal of exploiting the information available while maximizing annotation and retrieval performance. On the one hand, for the retrieval track, we proposed a post processing technique for re-ranking documents according to different diversity categories. With this formulation we considered both visual and textual features and we incorporated information of the different categories by which topics are clustered. Results obtained with this technique suggest it is a promising method for result diversification. However, we still need to deal with issues that affect the retrieval performance. On the other hand, for the annotation task, we adopted a simple annotation technique based on KNN classification. Only global features were considered under this formulation. The output of the KNN method was then refined by means of an energy-based model that attempts to maximize the semantic cohesion among labels assigned to each image. We considered information of the annotation hierarchy to constraint certain labeling configurations. Results obtained with this technique give evidence that the KNN approach is an effective annotation technique despite being rather simple. The refinement strategy resulted useful for improving the labeling performance of an ineffective annotation method;although we could not improve the labeling performance of a strong baseline. Summarizing, the results obtained at imageCLEF2009 are encouraging and motivate further research in several directions that we are currently exploring.
In this paper, we present a parallelization of a filtering algorithm related to non-linear anisotropic diffusion, used to enhance the performance of an application in a parallel distributed system. The anisotropic dif...
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ISBN:
(纸本)9780769532578
In this paper, we present a parallelization of a filtering algorithm related to non-linear anisotropic diffusion, used to enhance the performance of an application in a parallel distributed system. The anisotropic diffusion is a well-established technique for image enhancement by means of diffusivity functions, which act as border attenuators. However, it requires a high computational cost when a large amount of data is used. The proposed implementation was parallelized considering both point-to-point and collective communications, adopting the MPI paradigm. Results from both approaches indicate that the proposed algorithm has reached interesting levels of performance (81% and 93% of efficiency, respectively) when compared to the execution of one process in a single computer node. In addition, our results indicate an enhancement of around 21% utilizing the collective communication strategy when compared to point-to-point communication.
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