Abstract— Robots are emerging from industrial plants toward every people’s daily life. Thus, navigation in and understanding of human related environments becomes a prerequisit...
Christian Pascal Connette, Oliver Meister, Martin ...
Abstract. Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve t...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel,...
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
In 3D subband coding, Motion-Compensated Temporal Filtering (MCTF) technique, especially with the adaptive 5/3 wavelet kernel, efficiently exploits the temporal correlation among n...
Jiali Zheng, Xiangyang Ji, Guangnan Ni, Wen Gao, F...
Hierarchical topic taxonomies have proliferated on the World Wide Web [5, 18], and exploiting the output space decompositions they induce in automated classification systems is an...