Titlebook: Computational Intelligence for Multimedia Understanding; International Worksh Emanuele Salerno,A. Enis Çetin,Ovidio Salvetti Conference pro

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PLUMP

MAIM

后退

Ecology of Populations and Vegetationto avoid local maxima) and using KNN for selecting the best reconstruction basis at each iteration. This approach allows us to recover concave areas of the shape that are usually lost when estimating the visual hull.

chemoprevention

最初

Geometrical and Textural Component Separation with Adaptive Scale Selection,n and automatic stopping condition. Our quality measure is based on an observation that the cartoon and the texture components of an image are orthogonal to each other. The visual and numerical comparison to the similar algorithms from the state-of-the-art showed the superiority of the proposed method.

hysterectomy

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Shape Retrieval and Recognition on Mobile Devices,nd simplicity, while still preserving high level of functionality (i.e. good recognition). Application areas involve offline object recognition and template matching (e.g. for authorization and blind aid applications), and various object categorizations either in pre-processing or in full local processing.

Factual

Labeling TV Stream Segments with Conditional Random Fields, describe segments. We demonstrate that this approach is more robust than other classification methods, in particular when it uses the neighbouring context of a segment to find its type. Moreover, we highlight that the segmentation and the choice of features to describe segments are two crucial poin

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