This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
Abstract. Computer techniques have been leveraged to record human experiences in many public spaces, e.g. meeting rooms and classrooms. For the large amount of such records produce...
Abstract. Simple linear readouts from generic neural microcircuit models can be trained to generate and control basic movements, e.g., reaching with an arm to various target points...
Abstract. We present a variant of the snapshot model [1] for insect visual homing. In this model a snapshot image is taken by an agent at the goal position. The disparity between c...
We study query processing in large graphs that are fundamental data model underpinning various social networks and Web structures. Given a set of query nodes, we aim to find the g...