In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
Software available at http://disi.unitn.it/~uijlings or http://koen.me/research/
For object recognition, the current state-of-the-art is based on exhaustive search. However, to ...
This paper validates a recognition system using bidimensional wavelet transforms as feature extractor and investigates the relevance of each subband image in the recognition proce...
— There is a subset of objects for which interaction can provide numerous cues to those objects’ identity. Robots are often in situations where they can take advantage being ab...