Isoperimetric numbers of graphs
Journal of Combinatorial Theory Series B
ACM Computing Surveys (CSUR)
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Co-clustering documents and words using bipartite spectral graph partitioning
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Bipartite graph partitioning and data clustering
Proceedings of the tenth international conference on Information and knowledge management
Digital Image Processing
Combining Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
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Convex Optimization
A graph-theoretic approach to extract storylines from search results
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Image and Feature Co-Clustering
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Hierarchical clustering of WWW image search results using visual, textual and link information
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Grouping WWW Image Search Results by Novel Inhomogeneous Clustering Method
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
A critical review of multi-objective optimization in data mining: a position paper
ACM SIGKDD Explorations Newsletter
Web image clustering by consistent utilization of visual features and surrounding texts
Proceedings of the 13th annual ACM international conference on Multimedia
Isoperimetric Graph Partitioning for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Isoperimetric Partitioning: A New Algorithm for Graph Partitioning
SIAM Journal on Scientific Computing
Spectral clustering for multi-type relational data
ICML '06 Proceedings of the 23rd international conference on Machine learning
Unsupervised learning on k-partite graphs
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Co-clustering Documents and Words Using Bipartite Isoperimetric Graph Partitioning
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
PCA-SIFT: a more distinctive representation for local image descriptors
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Narrowing the semantic gap - improved text-based web document retrieval using visual features
IEEE Transactions on Multimedia
Semi-supervised Document Clustering with Simultaneous Text Representation and Categorization
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Distance metric learning from uncertain side information with application to automated photo tagging
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Learning semantic distance from community-tagged media collection
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Evidence of quality of textual features on the web 2.0
Proceedings of the 18th ACM conference on Information and knowledge management
Clustering for music search results
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Characterizing use and quality of textual attributes in Web 2.0 applications
WebMedia '09 Proceedings of the XV Brazilian Symposium on Multimedia and the Web
Multiple hypergraph clustering of web images by mining Word2Image correlations
Journal of Computer Science and Technology
Discovering multirelational structure in social media streams
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
MM '11 Proceedings of the 19th ACM international conference on Multimedia
On clustering heterogeneous social media objects with outlier links
Proceedings of the fifth ACM international conference on Web search and data mining
Assessing the quality of textual features in social media
Information Processing and Management: an International Journal
Hybrid image summarization by hypergraph partition
Neurocomputing
Cross-modal social image clustering and tag cleansing
Journal of Visual Communication and Image Representation
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With the explosive growth of Web and the recent development in digital media technology, the number of images on the Web has grown tremendously. Consequently, Web image clustering has emerged as an important application. Some of the initial efforts along this direction revolved around clustering Web images based on the visual features of images or textual features by making use of the text surrounding the images. However, not much work has been done in using multimodal information for clustering Web images. In this paper, we propose a graph theoretical framework for simultaneously integrating visual and textual features for efficient Web image clustering. Specifically, we model visual features, images and words from surrounding text using a tripartite graph. Partitioning this graph leads to clustering of the Web images. Although, graph partitioning approach has been adopted before, the main contribution of this work lies in a new algorithm that we propose - Consistent Isoperimetric High-order Co-clustering (CIHC), for partitioning the tripartite graph. Computationally, CIHC is very quick as it requires a simple solution to a sparse system of linear equations. Our theoretical analysis and extensive experiments performed on real Web images demonstrate the performance of CIHC in terms of the quality, efficiency and scalability in partitioning the visual feature-image-word tripartite graph.