Modeling, classifying and annotating weakly annotated images using Bayesian network

Once all the poorly reconstructed areas have been treated, we estimate the abundance fractions on the entire image using the NNLS al- gorithm and the endmembers estimated from both

The impact of continental deposition on the evolution of a fluvial landscape is highlighted by the three geomorphological relationships above: steady-state slope is higher,

5 and 6 show results obtained from the matches shown on 3 and 4: epipolar geometry and the homography were computed using a robust method, and the outliers were detected

In order to deal with the data of different modalities according to their characteristics, we present a semantic annotation model which employs continuous PLSA and traditional PLSA

Given an image without keyword, or a weakly annotated image, the proposed Bayesian model before described can be used to compute a distribution over words conditionally to the image

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Indeed, a tremendous amount of images acquired at facade level in urban environment are occluded in reasons of urban objects located between the sensor of acquisition and the

First, we expand the shape-spaces definition to any spaces repre- sented by the graph G (V, E) where the vertices set V corresponding to the nodes set of a hierarchical