In this paper the blind image deconvolution (BID) problem is solved using the Bayesian framework. In order to find the parameters of the proposed Bayesian model we present a new g...
—This paper addresses the problem of robust template tracking in image sequences. Our work falls within the discriminative framework in which the observations at each frame yield...
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Algorithms for determining quality/cost/price tradeoffs in saturated markets are consid-3 ered. A product is modeled by d real-valued qualities whose sum determines the unit cost ...
Joachim Gudmundsson, Pat Morin, Michiel H. M. Smid