Autonomous robots interacting with human users need to build and continuously update
scene representations. This entails the problem of rapidly learning to recognize new objects …

Algebras over a field k generalize to categories over k in order to considers Galois
coverings. Two theories presenting analogies, namely smash extensions and Galois …

In this paper, we present our approach to design a brain-computer interface (BCI) that allows
the user to perform multitask humanoid control. We efficiently integrate techniques from …

Described is a system for multiple-object recognition in visual images. The system is
configured to receive an input test image comprising at least one object. Keypoints repre …

(57) A device and a method for annotating content is provided. The device may comprise a
means to analyze the content (150) and generate a first output (205) based upon the …

This paper presents a robotic vision system that can be taught to recognize novel objects in
a semi-autonomous manner that does not require manual labeling or segmentation of any …

We propose a conceptual framework for artificial object recognition systems based on
findings from neurophysiological and neuropsychological research on the visual system in …

In this paper we propose a new approach to real-time view-based pose recognition and
interpolation. Pose recognition is particularly useful for identifying camera views in …

In this paper we propose a new approach to real-time view-based object recognition and
scene registration. Object recognition is an important sub-task in many applications, as eg …

Object recognition has been widely researched for several decades and in the recent years
new methods capable of general object classification have appeared. However very few …