Results 31 to 40 of about 5,808,675 (298)
Graph Bisection with Pareto Optimization [PDF]
We introduce FlowCutter, a novel algorithm to compute a set of edge cuts or node separators that optimize cut size and balance in the Pareto sense. Our core algorithm heuristically solves the balanced connected st -edge-cut problem, where two given nodes s and t must ...
Hamann, Michael, Strasser, Ben
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Optimization Over Graphs [PDF]
This paper defines isomorphism for network formation that is not mathematically isomorphic. Once the pattern of network formation is characterized, one can test for (i) location fixed effects, (ii) heterogeneity, (iii) private information allowing for long-term contracts.
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Incremental 3-D pose graph optimization for SLAM algorithm without marginalization
Pose graph optimization algorithm is a classic nonconvex problem which is widely used in simultaneous localization and mapping algorithm. First, we investigate previous contributions and evaluate their performances using KITTI, Technische Universität ...
Feng Youyang, Wang Qing, Yang Gaochao
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Majorization Minimization Methods for Distributed Pose Graph Optimization [PDF]
We consider the problem of distributed pose graph optimization (PGO) that has important applications in multirobot simultaneous localization and mapping (SLAM). We propose the majorization minimization (MM) method for distributed PGO ($\mathsf {MM\text{--
Taosha Fan, T. Murphey
semanticscholar +1 more source
Dimensionality Reduction via Multiple Locality-Constrained Graph Optimization
In recent years, graph-based dimensionality reduction methods became increasingly more significant since they have been successfully applied in various computer vision and machine learning problems.
Caixia Zheng +6 more
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Automated 3-D Retinal Layer Segmentation From SD-OCT Images With Neurosensory Retinal Detachment
Neurosensory retinal detachment (NRD) is a separation of the neurosensory retina from the retinal pigment epithelium (RPE) because of the subretinal fluid that can result in significant vision loss.
Loza Bekalo +8 more
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Sparse Pose Graph Optimization in Cycle Space [PDF]
The state-of-the-art modern pose-graph optimization (PGO) systems are vertex based. In this context, the number of variables might be high, albeit the number of cycles in the graph (loop closures) is relatively low.
Fang Bai +2 more
semanticscholar +1 more source
Near-Optimal Graph Signal Sampling by Pareto Optimization [PDF]
In this paper, we focus on the bandlimited graph signal sampling problem. To sample graph signals, we need to find small-sized subset of nodes with the minimal optimal reconstruction error. We formulate this problem as a subset selection problem, and propose an efficient Pareto Optimization for Graph Signal Sampling (POGSS) algorithm.
Dongqi Luo +4 more
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Graph Homomorphism Revisited for Graph Matching [PDF]
In a variety of emerging applications one needs to decide whether a graph G matches another G p , i.e. , whether G
Fan, Wenfei +4 more
core +1 more source
Individual tree segmentation is essential for many applications in city management and urban ecology. Light Detection and Ranging (LiDAR) system acquires accurate point clouds in a fast and environmentally-friendly manner, which enables single tree ...
Yongjun Wang +4 more
doaj +1 more source

