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In this paper we deal with the problem of measuring the similarity between training and tests datasets in the context of transfer learning (TL) for image classification. TL tries to transfer knowledge...
Historic urban areas are complex and inter-reliant systems, vulnerable to natural hazards. Over the recent years, the increase frequency in extreme precipitation events and sea-level rise, have impact...
UMAP (User Modelling, Adaptation and Personalization) is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, a...
The spectral characteristic of the visible light reflected from any of archaeological artefact is the result of the interaction of its surface illuminated by incident light. Every particular surface d...
In the Authoritative Topographic Cartographic Information System (ATKIS®), which is the main public topographic data base in Germany, the heights and the 2D positions of objects such as roads a...
Local context objects have significant impact on object extraction from real aerial or satellite images, since occlusions or shadows can substantially hinder a successful extraction of a particular la...
Virtually all segmentation methods require parameter tuning, quite a difficult task, mostly performed manually through a troublesome trial-and-error process. To overcome this difficulty, an earlier ...
A methodology for the automatic adaptation of object models consisting of parallel line-type objects parts to a lower image resolution was developed previously. This paper aims at the verification of ...
A methodology for the automatic adaptation of object models consisting of parallel line-type objects parts to a lower image resolution was developed previously. This paper aims at the verification of ...
The key step in object-oriented image classification is the segmentation of the image into discrete meaningful objects. Generally the relation between the segmentation parameters and the corresponding...
A methodology for the automatic adaptation of models for the extraction of landscape objects with a variable number of similar object parts to a coarser image resolution is proposed in this paper. A g...
The spatial resolution of available image data plays an important role at the creation of object models for road extraction. The type and perceptibility of roads changes with increasing ground pixel s...
Depending on the spatial resolution, the appearance of roads differs in images. In high resolution aerial images aroad might be distinguishable as an area with visible road markings, while in a satell...
We present a Perception-Action architecture and experiments to simulate imprinting—the establishment of strong attachment links with a “caregiver”—in a robot. Following recent theories, we do not cons...

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