This paper presents an algorithm for order reduction of
factors in High-Order Markov Random Fields (HOMRFs).
Standard techniques for transforming arbitrary high-order
factors in...
In this paper we present a novel hybrid algorithm, in which ideas from the genetic algorithm and the GRASP metaheuristic are cooperatively used and intertwined to dynamically adjus...
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
In previous work, singular points (or top points) in the scale space representation of generic images have proven valuable for image matching. In this paper, we propose a construct...
Bram Platel, M. Fatih Demirci, Ali Shokoufandeh, L...
In this paper, we propose a new stereo matching algorithm using an iterated graph cuts and mean shift filtering technique. Our algorithm consists of following two steps. In the ...