Visual reconstruction
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Generic Grouping Algorithm and Its Quantitative Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Texture Segmentation in a Deterministic Annealing Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Embedding Gestalt Laws in Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
A randomized algorithm for pairwise clustering
Proceedings of the 1998 conference on Advances in neural information processing systems II
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour and Texture Analysis for Image Segmentation
International Journal of Computer Vision
Quantitative Analysis of Grouping Processes
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
A Factorization Approach to Grouping
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
What Energy Functions Can Be Minimized via Graph Cuts?
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Constrained K-means Clustering with Background Knowledge
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Clustering with Instance-level Constraints
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Segmentation by Grouping Junctions
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Markov Random Fields with Efficient Approximations
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Maximum entropy discrimination
Maximum entropy discrimination
A Maximum-Flow Formulation of the N-Camera Stereo Correspondence Problem
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Multiclass Spectral Clustering
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Exact optimization for Markov random fields with convex priors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 2005 symposium on Interactive 3D graphics and games
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Semi-supervised graph clustering: a kernel approach
ICML '05 Proceedings of the 22nd international conference on Machine learning
Mixture Modeling with Pairwise, Instance-Level Class Constraints
Neural Computation
Document clustering with prior knowledge
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
ACM Computing Surveys (CSUR)
Robust path-based spectral clustering
Pattern Recognition
Inappropriateness of the criterion of k-way normalized cuts for deciding the number of clusters
Pattern Recognition Letters
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
A Graph Clustering Algorithm Based on Minimum and Normalized Cut
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Stable Image Descriptions Using Gestalt Principles
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Semi-supervised graph clustering: a kernel approach
Machine Learning
Semi-supervised Segmentation Based on Non-local Continuous Min-Cut
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Incremental spectral clustering by efficiently updating the eigen-system
Pattern Recognition
Robust Segmentation by Cutting across a Stack of Gamma Transformed Images
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Semi-supervised statistical region refinement for color image segmentation
Pattern Recognition
International Journal of Computer Vision
Modeling user feedback using a hierarchical graphical model for interactive image retrieval
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Flexible constrained spectral clustering
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning shape segmentation using constrained spectral clustering and probabilistic label transfer
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Constrained spectral clustering via exhaustive and efficient constraint propagation
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints
Journal of Mathematical Imaging and Vision
Segmentation subject to stitching constraints: finding many small structures in a large image
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Spectral aggregation based on iterative graph cut for sonographic breast image segmentation
MIAR'10 Proceedings of the 5th international conference on Medical imaging and augmented reality
Main subject detection of image by cropping specific sharp area
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Graph-Cut Based Iterative Constrained Clustering
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Computer Vision and Image Understanding
Data clustering: a user’s dilemma
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Semidefinite clustering for image segmentation with a-priori knowledge
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Graph transduction as a noncooperative game
Neural Computation
Fast semi-supervised clustering with enhanced spectral embedding
Pattern Recognition
Semi-supervised clustering with discriminative random fields
Pattern Recognition
Active co-analysis of a set of shapes
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Constrained clustering with local constraint propagation
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Absolute and relative clustering
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering
Computers in Biology and Medicine
Semi-supervised clustering via multi-level random walk
Pattern Recognition
On constrained spectral clustering and its applications
Data Mining and Knowledge Discovery
Automatic image segmentation using constraint learning and propagation
Digital Signal Processing
Constrained instance clustering in multi-instance multi-label learning
Pattern Recognition Letters
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Abstract--We consider data clustering problems where partial grouping is known a priori. We formulate such biased grouping problems as a constrained optimization problem, where structural properties of the data define the goodness of a grouping and partial grouping cues define the feasibility of a grouping. We enforce grouping smoothness and fairness on labeled data points so that sparse partial grouping information can be effectively propagated to the unlabeled data. Considering the normalized cuts criterion in particular, our formulation leads to a constrained eigenvalue problem. By generalizing the Rayleigh-Ritz theorem to projected matrices, we find the global optimum in the relaxed continuous domain by eigendecomposition, from which a near-global optimum to the discrete labeling problem can be obtained effectively. We apply our method to real image segmentation problems, where partial grouping priors can often be derived based on a crude spatial attentional map that binds places with common salient features or focuses on expected object locations. We demonstrate not only that it is possible to integrate both image structures and priors in a single grouping process, but also that objects can be segregated from the background without specific object knowledge.