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Unsupervised Image Categorization by Hypergraph Partition
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11861898_24openalex-snapshot
Towards Unsupervised Discovery of Visual Categories
inferredcites →https://doi.org/10.1007/978-3-540-88688-4_24openalex-snapshot
Unsupervised Classification and Part Localization by Consistency Amplification
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Kernel Codebooks for Scene Categorization
inferredcites →https://doi.org/10.1007/s11263-009-0271-8openalex-snapshot
Unsupervised Object Discovery: A Comparison
inferredcites →https://doi.org/10.1016/0012-365x(93)90322-kopenalex-snapshot
Spectra, Euclidean representations and clusterings of hypergraphs
inferredcites →https://doi.org/10.1016/0167-9260(95)00008-4openalex-snapshot
Recent directions in netlist partitioning: a survey
inferredcites →https://doi.org/10.1016/j.cviu.2005.09.012openalex-snapshot
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
inferredcites →https://doi.org/10.1080/0308108031000084374openalex-snapshot
On the Laplacian Spectrum and Walk-regular Hypergraphs
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/cvpr.2005.16openalex-snapshot
A Bayesian Hierarchical Model for Learning Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2006.322openalex-snapshot
Unsupervised Learning of Categories from Sets of Partially Matching Image Features
inferredcites →https://doi.org/10.1109/cvpr.2006.326openalex-snapshot
Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
inferredcites →https://doi.org/10.1109/cvpr.2006.68openalex-snapshot
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2007.383050openalex-snapshot
An Exemplar Model for Learning Object Classes
inferredcites →https://doi.org/10.1109/cvpr.2008.4587410openalex-snapshot
Learning and using taxonomies for fast visual categorization
inferredcites →https://doi.org/10.1109/cvpr.2008.4587500openalex-snapshot
Probabilistic graph and hypergraph matching
inferredcites →https://doi.org/10.1109/cvpr.2008.4587502openalex-snapshot
Unsupervised modeling of object categories using link analysis techniques
inferredcites →https://doi.org/10.1109/cvpr.2008.4587586openalex-snapshot
Beyond sliding windows: Object localization by efficient subwindow search
inferredcites →https://doi.org/10.1109/cvpr.2008.4587620openalex-snapshot
Unsupervised learning of visual taxonomies
inferredcites →https://doi.org/10.1109/cvpr.2008.4587622openalex-snapshot
Unsupervised discovery of visual object class hierarchies
inferredcites →https://doi.org/10.1109/cvpr.2009.5206698openalex-snapshot
Shape discovery from unlabeled image collections
inferredcites →https://doi.org/10.1109/iccad.1996.569592openalex-snapshot
Multi-level spectral hypergraph partitioning with arbitrary vertex sizes
inferredcites →https://doi.org/10.1109/iccv.2005.142openalex-snapshot
Learning object categories from Google's image search
inferredcites →https://doi.org/10.1109/iccv.2005.239openalex-snapshot
The pyramid match kernel: discriminative classification with sets of image features
inferredcites →https://doi.org/10.1109/iccv.2005.77openalex-snapshot
Discovering objects and their location in images
inferredcites →https://doi.org/10.1109/iccv.2007.4408852openalex-snapshot
Unsupervised Image Categorization and Object Localization using Topic Models and Correspondences between Images
inferredcites →https://doi.org/10.1109/iccv.2007.4409066openalex-snapshot
Image Classification using Random Forests and Ferns
inferredcites →https://doi.org/10.1111/j.2517-6161.1986.tb01412.xopenalex-snapshot
On the Statistical Analysis of Dirty Pictures
inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot
Book Review: Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1126/science.1136800openalex-snapshot
Clustering by Passing Messages Between Data Points
inferredcites →https://doi.org/10.1145/1143844.1143847openalex-snapshot
Higher order learning with graphs
inferredcites →https://doi.org/10.1145/1282280.1282340openalex-snapshot
Representing shape with a spatial pyramid kernel
inferredcites →https://doi.org/10.1145/1401890.1401971openalex-snapshot
Hypergraph spectral learning for multi-label classification
inferredcites →https://doi.org/10.1184/r1/6552179openalex-snapshot
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
inferredcites →https://doi.org/10.5860/choice.30-3308openalex-snapshot
Pattern recognition and machine learning
inferredcites →https://doi.org/10.5860/choice.44-5091openalex-snapshot
Pattern recognition and machine learning
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0205openalex-snapshot
Learning with Hypergraphs: Clustering, Classification, and Embedding
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-42128-1_3openalex-snapshot
Unsupervised Learning of Graph and Hypergraph Clustering
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Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures
inferred← citeshttps://doi.org/10.1007/978-3-319-18224-7_5openalex-snapshot
Coupled-Feature Hypergraph Representation for Feature Selection
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Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints
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Co-ranking Images and Tags via Random Walks on a Heterogeneous Graph
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Use of Machine Learning in Forensics and Computer Security
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Hessian Non-negative Hypergraph
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Multi-gait recognition using hypergraph partition
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Hyper-graph regularized discriminative concept factorization for data representation
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Fast hypergraph regularized nonnegative tensor ring decomposition based on low-rank approximation
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A semi-supervised incremental learning method based on adaptive probabilistic hypergraph for video semantic detection
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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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Dynamic topology and relevance learning SOM-based algorithm for image clustering tasks
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Deep correlation mining for multi-task image clustering
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Effective automatic image annotation via integrated discriminative and generative models
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Robust ℓ2− Hypergraph and its applications
inferred← citeshttps://doi.org/10.1016/j.ins.2019.04.034openalex-snapshot
Beyond global fusion: A group-aware fusion approach for multi-view image clustering
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Link-aware semi-supervised hypergraph
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GraphLSHC: Towards large scale spectral hypergraph clustering
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Unsupervised change detection between SAR images based on hypergraphs
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Hyper-connectivity of functional networks for brain disease diagnosis
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Hybrid image summarization by hypergraph partition
inferred← citeshttps://doi.org/10.1016/j.neucom.2013.02.017openalex-snapshot
Multi-view hypergraph learning by patch alignment framework
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Image clustering by hyper-graph regularized non-negative matrix factorization
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Semi-supervised classification with pairwise constraints
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Combinative hypergraph learning for semi-supervised image classification
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An incremental structured part model for object recognition
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Feature self-representation based hypergraph unsupervised feature selection via low-rank representation
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