4 accepted papers
In this paper, we address the problem of estimating a scene's three-dimensional geometry from plenoptic camera images. Existing approaches for this problem have emphasized the development of sharpness and contrast measures for distinguishing between in-/out-of-focus image regions. The ways in which…
A fundamental problem when aggregating Markov chains is the specification of the number of state groups. Too few state groups may fail to sufficiently capture the pertinent dynamics of the original, high-order Markov chain. Too many state groups may lead to a non-parsimonious, reduced-order Markov c…
In this paper, we provide an approach to clustering relational matrices whose entries correspond to either similarities or dissimilarities between objects. Our approach is based on the value of information, a parameterized, information-theoretic criterion that measures the change in costs associated…
In this paper, we consider an information-theoretic approach for addressing the exploration-exploitation dilemma in reinforcement learning. We employ the value of information, a criterion that provides the optimal trade-off between the expected returns and a policy's degrees of freedom. As the degre…