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Beyond Pairwise Clustering
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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An Efficient Heuristic Procedure for Partitioning Graphs
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Triadic Distance Models: Axiomatization and Least Squares Representation
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Modern multidimensional scaling : theory and applications
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Modern Multidimensional Scaling
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Analysis of Individual Differences in Multidimensional Scaling Via an N-way Generalization of “Eckart-Young” Decomposition
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Two dimensional quantification based on the measure of dissimilarity among three elements
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Clustering categorical data: an approach based on dynamical systems
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Modeling hypergraphs by graphs with the same mincut properties
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Generalizing the Hough transform to detect arbitrary shapes
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Approximation techniques for hypergraph partitioning problems
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Recent directions in netlist partitioning: a survey
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What Is the Set of Images of an Object Under All Possible Illumination Conditions?
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Geometric motion segmentation and model selection
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Pairwise data clustering by deterministic annealing
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Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/34.927464openalex-snapshot
From few to many: illumination cone models for face recognition under variable lighting and pose
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What is the set of images of an object under all possible lighting conditions?
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Comparing images under variable illumination
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Stochastic image segmentation by typical cuts
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A new graph-theoretic approach to clustering and segmentation
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A new GPCA algorithm for clustering subspaces by fitting, differentiating and dividing polynomials
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A Tensor Decomposition for Geometric Grouping and Segmentation
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A Linear-Time Heuristic for Improving Network Partitions
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Multilevel k-way hypergraph partitioning
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Beyond the flow decomposition barrier
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Spectral grouping using the nystrom method
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An improved direct labeling method for the max–flow min–cut computation in large hypergraphs and applications
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Multidimensional scaling for n ‐tuples
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Numerical Methods for Least Squares Problems
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Multilevel k -way hypergraph partitioning
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Finding groups in data: an introduction to cluster analysis
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Numerical methods for least squares problems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Community detection in the sparse hypergraph stochastic block model
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Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization
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Riemannian Manifold Clustering and Dimensionality Reduction for Vision-Based Analysis
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Geometricity and Embedding
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A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering
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Unsupervised Learning of Graph and Hypergraph Clustering
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Institutional Design and Complexity: Protocol Network Structure in Response to Different Collective-Action Dilemmas
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Spatial Constrained K-Means for Image Segmentation
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Clustering with Hypergraphs: The Case for Large Hyperedges
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Grouping Using Factor Graphs: An Approach for Finding Text with a Camera Phone
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Robust Spectral 3D-Bodypart Segmentation Along Time
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Spectral Embedding of Feature Hypergraphs
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A Hypergraph-Based Model for Graph Clustering: Application to Image Indexing
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Approximation Algorithms for Tensor Clustering
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A Hypergraph Reduction Algorithm for Joint Segmentation and Classification of Satellite Image Content
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High Order Structural Matching Using Dominant Cluster Analysis
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Hypergraph Spectra for Semi-supervised Feature Selection
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Hypergraph Spectra for Unsupervised Feature Selection
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Co-ranking Images and Tags via Random Walks on a Heterogeneous Graph
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Multiple structure recovery with maximum coverage
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Distinguishing and Classifying from n-ary Properties
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Morse Theory for the k-NN Distance Function
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Hyper-graph regularized discriminative concept factorization for data representation
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Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling
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Comprehensive survey on hierarchical clustering algorithms and the recent developments
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Computing the p-Spectral Radii of Uniform Hypergraphs with Applications
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An efficient framework of Bregman divergence optimization for co-ranking images and tags in a heterogeneous network
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Spectral clustering based on hypergraph and self-re-presentation
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RETRACTED ARTICLE: Deeply fusing multimodal features in hypergraph
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Graph convolutional networks of reconstructed graph structure with constrained Laplacian rank
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Fuzzy clustering with three-way semi-perimeter distance
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Spectral Curvature Clustering (SCC)
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Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies
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Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning
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A survey on game theoretic models for community detection in social networks
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Hypergraph clustering by iteratively reweighted modularity maximization
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Hypergraph co-optimal transport: metric and categorical properties
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Deep hypergraph regularized $$L_{p}$$ smooth semi-nonnegative matrix factorization for hierarchical clustering analysis
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Cross-scale hypergraph contrastive clustering
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Robust visual data segmentation: Sampling from distribution of model parameters
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On the triangle clique cover and Kt clique cover problems
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Topic discovery in massive text corpora based on Min-Hashing
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SCHG: Spectral Clustering-guided Hypergraph Neural Networks for Multi-view Semi-supervised Learning
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Multiple structure recovery with T-linkage
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HpLapGCN: Hypergraph p-Laplacian graph convolutional networks
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Spectral representation learning for one-step spectral rotation clustering
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Hypergraph-based image retrieval for graph-based representation
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Low-rank matrix factorization with multiple Hypergraph regularizer
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Depth-based hypergraph complexity traces from directed line graphs
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Joint hypergraph learning and sparse regression for feature selection
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Hypergraph based information-theoretic feature selection
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Hypergraph dominant set based multi-video summarization
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Robust non-negative matrix factorization with multiple correntropy-induced hypergraph regularizer
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Community Detection in General Hypergraph Via Graph Embedding
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Investigation of the effect of bars on the properties of spiral galaxies: a multivariate statistical study
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Classification in biological networks with hypergraphlet kernels
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High-Order Affinity Extension of Normalized Cut and Its Applications
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Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning
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Spectral detection on sparse hypergraphs
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Hypergraph Clustering Based on Intra-class Scatter Matrix for Mining Higher-order Microbial Module
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A Tensor Decomposition for Geometric Grouping and Segmentation
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Coherent Laplacian 3-D protrusion segmentation
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Normalized tree partitioning for image segmentation
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Image retrieval via probabilistic hypergraph ranking
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Supervised hypergraph labeling
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Higher order motion models and spectral clustering
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Similarity Comparisons for Interactive Fine-Grained Categorization
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Spectral Clustering with Jensen-Type Kernels and Their Multi-point Extensions
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Multiple Models Fitting as a Set Coverage Problem
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Simultaneous Clustering and Model Selection for Tensor Affinities
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MultiLink: Multi-class Structure Recovery via Agglomerative Clustering and Model Selection
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A Hybrid Quantum-Classical Algorithm for Robust Fitting
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Quantum Multi-Model Fitting
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Outlier-Robust Multi-Model Fitting on Quantum Annealers
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Low-rank embedding for semisupervised face classification
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Efficient Higher-Order Clustering on the Grassmann Manifold
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Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation
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Kernel Spectral Curvature Clustering (KSCC)
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Computing Z-Eigenvalue Of Hankel Tensors
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Efficient Structural Clustering Over Hypergraphs
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Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction
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Solving Multi-controller Placement Problem in Software Defined Network
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A Hypergraph Kernel from Isomorphism Tests
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Directed Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs
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Hybrid hypergraph construction for facial expression recognition
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Video Shot Annotation Based on Hypergraph Random Walk Algorithm
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Motif clustering and overlapping clustering for social network analysis
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MCMC based sampling technique for robust multi-model fitting and visual data segmentation
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A hypergraph-based image database clustering framework
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Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs
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Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE
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Community detection in hypergraphs, spiked tensor models, and Sum-of-Squares
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Linear Opinion Dynamics Model With Higher Order Interactions
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Robust High-Order Manifold Constrained Sparse Principal Component Analysis for Image Representation
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Robust High-Order Manifold Constrained Low Rank Representation for Subspace Clustering
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Multiview Physician-Specific Attributes Fusion for Health Seeking
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Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition
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Adaptive Hypergraph Learning and its Application in Image Classification
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Elastic Net Hypergraph Learning for Image Clustering and Semi-Supervised Classification
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Effective Sampling: Fast Segmentation Using Robust Geometric Model Fitting
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Joint Hypergraph Learning for Tag-Based Image Retrieval
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Correntropy-Induced Robust Low-Rank Hypergraph
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Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking
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On the Minimax Misclassification Ratio of Hypergraph Community Detection
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Degree Heterogeneity in Higher-Order Networks: Inference in the Hypergraph β-Model
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Context-Aware Hypergraph Construction for Robust Spectral Clustering
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Discriminating Tensor Spectral Clustering for High-Dimension-Low-Sample-Size Data
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Uniform Tensor Clustering by Jointly Exploring Sample Affinities of Various Orders
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Low-Latency and Reliable Virtual Network Function Placement in Edge Clouds
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Unsupervised Image Categorization by Hypergraph Partition
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A Game-Theoretic Approach to Hypergraph Clustering
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Robust Model Fitting Using Higher Than Minimal Subset Sampling
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Clustering with Hypergraphs: The Case for Large Hyperedges
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Simultaneous Clustering and Model Selection: Algorithm, Theory and Applications
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Integrating Tensor Similarity to Enhance Clustering Performance
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Deep Tensor Spectral Clustering Network via Ensemble of Multiple Affinity Tensors
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Learning Localized Perceptual Similarity Metrics for Interactive Categorization
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LEAST SQUARES APPROXIMATIONS OF MEASURES VIA GEOMETRIC CONDITION NUMBERS
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An intelligent video framework for homeland protection
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Generative hypergraph clustering: From blockmodels to modularity
inferred← citeshttps://doi.org/10.1137/1.9781611972795.64openalex-snapshot
Parallel Pairwise Clustering
inferred← citeshttps://doi.org/10.1137/15m1032454openalex-snapshot
Graph Similarity through Entropic Manifold Alignment
inferred← citeshttps://doi.org/10.1137/20m1321048openalex-snapshot
Hypergraph Cuts with General Splitting Functions
inferred← citeshttps://doi.org/10.1145/1143844.1143847openalex-snapshot
Higher order learning with graphs
inferred← citeshttps://doi.org/10.1145/1459359.1459453openalex-snapshot
Modeling video hyperlinks with hypergraph for web video reranking
inferred← citeshttps://doi.org/10.1145/2414446.2414449openalex-snapshot
Implementing an affordable high-performance computing for teaching-oriented computer science curriculum
inferred← citeshttps://doi.org/10.1145/2993148.2993185openalex-snapshot
Deep learning driven hypergraph representation for image-based emotion recognition
inferred← citeshttps://doi.org/10.1145/3219819.3219829openalex-snapshot
E-tail Product Return Prediction via Hypergraph-based Local Graph Cut
inferred← citeshttps://doi.org/10.1145/3394486.3403222openalex-snapshot
Minimizing Localized Ratio Cut Objectives in Hypergraphs
inferred← citeshttps://doi.org/10.1145/3394486.3403238openalex-snapshot
Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs
inferred← citeshttps://doi.org/10.1145/3394486.3403248openalex-snapshot
Hypergraph Clustering Based on PageRank
inferred← citeshttps://doi.org/10.1145/3404835.3463092openalex-snapshot
Communication Efficient Distributed Hypergraph Clustering
inferred← citeshttps://doi.org/10.1145/3442381.3449887openalex-snapshot
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning
inferred← citeshttps://doi.org/10.1145/3617335openalex-snapshot
Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation
inferred← citeshttps://doi.org/10.1145/3657300openalex-snapshot
Distributed Pseudo-Likelihood Method for Community Detection in Large-Scale Networks
inferred← citeshttps://doi.org/10.1145/3677126openalex-snapshot
A Lovász-Simonovits Theorem for Hypergraphs with Application to Local Clustering
inferred← citeshttps://doi.org/10.1145/3709741openalex-snapshot
On Graph Representation for Attributed Hypergraph Clustering
inferred← citeshttps://doi.org/10.1155/2022/4840964openalex-snapshot
On Clustering Detection Based on a Quadratic Program in Hypergraphs
inferred← citeshttps://doi.org/10.11588/heidok.00015976openalex-snapshot
Coreference Resolution via Hypergraph Partitioning
inferred← citeshttps://doi.org/10.1186/s12864-017-4112-9openalex-snapshot
Determining the optimal number of independent components for reproducible transcriptomic data analysis
inferred← citeshttps://doi.org/10.1214/11-ejs651openalex-snapshot
Spectral clustering based on local linear approximations
inferred← citeshttps://doi.org/10.1214/16-aos1453openalex-snapshot
Consistency of spectral hypergraph partitioning under planted partition model
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1003467openalex-snapshot
Quantitative Modeling of a Gene's Expression from Its Intergenic Sequence
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1012095openalex-snapshot
Interpretable online network dictionary learning for inferring long-range chromatin interactions
inferred← citeshttps://doi.org/10.1371/journal.pone.0224307openalex-snapshot
Clustering via hypergraph modularity
inferred← citeshttps://doi.org/10.1371/journal.pone.0288457openalex-snapshot
Hypergraph partitioning using tensor eigenvalue decomposition
inferred← citeshttps://doi.org/10.1609/aaai.v29i1.9556openalex-snapshot
Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications
inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33018730openalex-snapshot
Hypergraph Optimization for Multi-Structural Geometric Model Fitting
inferred← citeshttps://doi.org/10.17577/ijertv7is060169openalex-snapshot
Image Segmentation with Multiple Hypergraph Fusion and Superpixels
inferred← citeshttps://doi.org/10.18178/wcse.2015.04.061openalex-snapshot
Ranking via Hypergraph Learning Integration of Textual Content and Visual Content
inferred← citeshttps://doi.org/10.23919/eusipco54536.2021.9616223openalex-snapshot
Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning
inferred← citeshttps://doi.org/10.24963/ijcai.2019/371openalex-snapshot
Hypergraph Induced Convolutional Manifold Networks
inferred← citeshttps://doi.org/10.25148/etd.fidc000207openalex-snapshot
Next Generation of Product Search and Discovery
inferred← citeshttps://doi.org/10.25916/sut.26269702openalex-snapshot
Volumetric image analysis: optical flow, registration and segmentation
inferred← citeshttps://doi.org/10.4018/978-1-4666-1891-6.ch006openalex-snapshot
Hypergraph Based Visual Segmentation and Retrieval
inferred← citeshttps://doi.org/10.4018/978-1-4666-3994-2.ch019openalex-snapshot
Hypergraph Based Visual Segmentation and Retrieval
inferred← citeshttps://doi.org/10.48550/arxiv.0812.0389openalex-snapshot
Approximation Algorithms for Bregman Co-clustering and Tensor Clustering
inferred← citeshttps://doi.org/10.48550/arxiv.1301.2007openalex-snapshot
Spectral Clustering Based on Local PCA
inferred← citeshttps://doi.org/10.48550/arxiv.1312.5179openalex-snapshot
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
inferred← citeshttps://doi.org/10.48550/arxiv.1602.06516openalex-snapshot
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques
inferred← citeshttps://doi.org/10.48550/arxiv.1603.04150openalex-snapshot
Regression-based Hypergraph Learning for Image Clustering and Classification
inferred← citeshttps://doi.org/10.48550/arxiv.1704.01811openalex-snapshot
Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1807.02884openalex-snapshot
Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach
inferred← citeshttps://doi.org/10.48550/arxiv.1811.11549openalex-snapshot
$HS^2$: Active Learning over Hypergraphs
inferred← citeshttps://doi.org/10.48550/arxiv.1812.10869openalex-snapshot
Hypergraph Clustering: A Modularity Maximization Approach
inferred← citeshttps://doi.org/10.48550/arxiv.1911.02161openalex-snapshot
Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation
inferred← citeshttps://doi.org/10.48550/arxiv.2011.07752openalex-snapshot
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2103.15035openalex-snapshot
Community Detection in General Hypergraph via Graph Embedding
inferred← citeshttps://doi.org/10.48550/arxiv.2105.08678openalex-snapshot
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
inferred← citeshttps://doi.org/10.48550/arxiv.2106.01982openalex-snapshot
Gaussian Processes on Hypergraphs
inferred← citeshttps://doi.org/10.48550/arxiv.2106.13264openalex-snapshot
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
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