Due to the increased need for security and surveillance, PTZ cameras are now being widely used in many domains. Therefore, it is very important for the applications like video mos...
Abstract. We propose a semi-supervised, kinetic modeling based segmentation technique for molecular imaging applications. It is an iterative, self-learning algorithm based on uncer...
Ahmed Saad, Benjamin Smith 0002, Ghassan Hamarneh,...
We present a unified framework for modeling and solving invariant point pattern matching problems. Invariant features are encoded as potentials in a probabilistic graphical model....
One critical issue in the context of image restoration is the problem of noise removal while keeping the integrity of relevant image information. Denoising is a crucial step to inc...
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...