The paper proposes a new wavelet-based Bayesian approach to image deconvolution, under the space-invariant blur and additive white Gaussian noise assumptions. Image deconvolution ...
We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifier...
Antonio Torralba, Kevin P. Murphy, William T. Free...
Network operators need high-capacity router architectures that can offer scalability, provide throughput and performance guarantees, and maintain packet ordering. However, previou...
We consider the problem of sensor selection so as to minimise error in estimated location of target. An algorithm based on selecting a sensor in a direction in which the error is ...
Abstract. In this paper we propose an original approach to solve the Inverse Kinematics problem. Our framework is based on Sequential Monte Carlo Methods and has the advantage to a...