We propose in this paper a new formulation of the equation of the optical flow enabling to compute global and local motions of multi-structure objects (flowers and petals, trees...
The support of process enactment through the use of workflow management systems has gained considerable attention within the last few years. We develop a classification framework c...
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
A hierarchical framework for the recognition of complex deformable shapes is developed. In extension to traditional approaches an additional layer of control is introduced to guid...