Explored Normalized Cut With Random Walk Refining Term for Image Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3162475
Abstract: The Normalized Cut (NCut) model is a popular graph-based model for image segmentation. But it suffers from the excessive normalization problem and weakens the small object and twig segmentation. In this paper, we propose an… read more here.
Keywords: random walk; normalized cut; model; image ... See more keywords
Segmentation of Laser Point Clouds in Urban Areas by a Modified Normalized Cut Method
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2869744
Abstract: Normalized Cut is a well-established divisive image segmentation method, which we adapt in this paper for the segmentation of laser point clouds in urban areas. Our focus is on polyhedral objects with planar surfaces. Due… read more here.
Keywords: normalized cut; method; cut; point ... See more keywords
FINC: An Efficient and Effective Optimization Method for Normalized Cut
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3148812
Abstract: The optimization methods for solving the normalized cut model usually involve three steps, i.e., problem relaxation, problem solving and post-processing. However, these methods are problematic in both performance since they do not directly solve the… read more here.
Keywords: problem; optimization method; normalized cut; cut ... See more keywords
A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3279394
Abstract: Normalized-Cut (N-Cut) is a famous model of spectral clustering. The traditional N-Cut solvers are two-stage: 1) calculating the continuous spectral embedding of normalized Laplacian matrix; 2) discretization via K-means or spectral rotation. However, this paradigm… read more here.
Keywords: normalized cut; cut; cut solver; initialization ... See more keywords
An intrusion detection algorithm for sensor network based on normalized cut spectral clustering
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DOI: 10.1371/journal.pone.0221920
Abstract: Sensor network intrusion detection has attracted extensive attention. However, previous intrusion detection methods face the highly imbalanced attack class distribution problem, and they may not achieve a satisfactory performance. To solve this problem, we propose… read more here.
Keywords: normalized cut; intrusion detection; detection; sensor network ... See more keywords