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The deterministic notions of capacity and entropy are studied in the context of communication and storage of information using square-integrable and bandlimited signals subject to perturbation. The $(\epsilon ,\delta )$ -capacity that extends the Kolmogorov $\epsilon $ -capacity to packing sets of overlap at most $\delta $ is introduced and compared with the Shannon capacity. The functional form...
There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. Context models can efficiently rule out some unlikely combinations or locations of objects and guide detectors to produce a semantically coherent interpretation of a scene. However, the performance benefit from using context models has...
In this paper, we introduce a new approach for modeling visual context. For this purpose, we consider the leaves of a hierarchical segmentation tree as elementary units. Each leaf is described by features of its ancestral set, the regions on the path linking the leaf to the root. We construct region trees by using a high-performance segmentation method. We then learn the importance of different descriptors...
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