We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...
We present a method for on-line mathematical formulae recognition based on the structural construction paradigm and twodimensional grammars. In general, this approach can be succes...
—We study the problem of actively searching for an object in a 3D environment under the constraint of a maximum search time, using a visually guided humanoid robot with twentysix...
Alexander Andreopoulos, Stephan Hasler, Heiko Wers...
The agent view provides maybe the right level of abstraction for dealing with complex, distribblem-solving systems. It abstracts from aspects like the hardware or software platfor...