Blar i Department of Mathematics på forfatter "Yuan, Jing"
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A Continuous Max-Flow Approach to Minimal Partitions with Label Cost Prior
Yuan, Jing; Bae, Egil; Boykov, Yuri; Tai, Xue-Cheng (Chapter; Peer reviewed, 2011)This paper investigates a convex relaxation approach for minimum description length (MDL) based image partitioning or labeling, which proposes an energy functional regularized by the spatial smoothness prior joint with a ... -
A Fast Continuous Max-Flow Approach to Non-Convex Multilabeling Problems
Bae, Egil; Yuan, Jing; Tai, Xue-Cheng; Boykov, Yuri (Working paper, 2011)This work addresses a class of multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded function, not necessarily convex. Two total variation based regularization ... -
Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach
Bae, Egil; Yuan, Jing; Tai, Xue-Cheng (Peer reviewed; Journal article, 2011)This paper is devoted to the optimization problem of continuous multi-partitioning, or multi-labeling, which is based on a convex relaxation of the continuous Potts model. In contrast to previous efforts, which are tackling ... -
A Study on Continuous Max-Flow and Min-Cut Approaches
Yuan, Jing; Bae, Egil; Tai, Xue-Cheng (Chapter; Peer reviewed, 2010)We propose and investigate novel max-flow models in the spatially continuous setting, with or without supervised constraints, under a comparative study of graph based max-flow / min-cut. We show that the continuous max-flow ...