A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithms for clustering data
Algorithms for clustering data
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
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
The handbook of brain theory and neural networks
Histogram clustering for unsupervised segmentation and image retrieval
Pattern Recognition Letters
Ground from figure discrimination
Computer Vision and Image Understanding - Special issue on perceptual organization in computer vision
A Comparison of Measures for Detecting Natural Shapes in Cluttered Backgrounds
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
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
Figure-Ground Discrimination: A Combinatorial Optimization Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pairwise Data Clustering by Deterministic Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Path-Based Clustering for Grouping of Smooth Curves and Texture Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Outex - New Framework for Empirical Evaluation of Texture Analysis Algorithms
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Path-Based Clustering for Grouping of Smooth Curves and Texture Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bagging for Path-Based Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Clustering Ensembles: Models of Consensus and Weak Partitions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Multiple Clusterings by Soft Correspondence
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Dominant Sets and Pairwise Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and active texture segmentation based on orientation and local variance
Journal of Visual Communication and Image Representation
Robust path-based spectral clustering
Pattern Recognition
LEGClust—A Clustering Algorithm Based on Layered Entropic Subgraphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
A hierarchical clustering algorithm based on the Hungarian method
Pattern Recognition Letters
Boosting for Model-Based Data Clustering
Proceedings of the 30th DAGM symposium on Pattern Recognition
Clustering Using Normalized Path-Based Metric
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Shape Extraction through Region-Contour Stitching
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
A scalable framework for cluster ensembles
Pattern Recognition
Hierarchical Pairwise Segmentation Using Dominant Sets and Anisotropic Diffusion Kernels
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
From comparing clusterings to combining clusterings
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Using graph algebra to optimize neighborhood for isometric mapping
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A Novel Path-Based Clustering Algorithm Using Multi-dimensional Scaling
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Distance Learning Based on Convex Clustering
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Diffusion maps for edge-aware image editing
ACM SIGGRAPH Asia 2010 papers
Robust clustering using discriminant analysis
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Local density adaptive similarity measurement for spectral clustering
Pattern Recognition Letters
Multiobjective data clustering
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Improved graph-based metrics for clustering high-dimensional datasets
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Soft spectral clustering ensemble applied to image segmentation
Frontiers of Computer Science in China
Hybrid ensemble approach for classification
Applied Intelligence
A review: accuracy optimization in clustering ensembles using genetic algorithms
Artificial Intelligence Review
Pairwise weak geometric consistency for large scale image search
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Adaptively weighted subpattern-based isometric projection for face recognition
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Combining multiple clusterings using fast simulated annealing
Pattern Recognition Letters
Data clustering: a user’s dilemma
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Combining multiple clusterings via k-modes algorithm
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Spatio-temporal segmentation using dominant sets
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Data weighing mechanisms for clustering ensembles
Computers and Electrical Engineering
A theoretic framework of K-means-based consensus clustering
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
An ensemble-clustering-based distance metric and its applications
International Journal of Business Intelligence and Data Mining
Effects of resampling method and adaptation on clustering ensemble efficacy
Artificial Intelligence Review
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Perceptual Grouping organizes image parts in clusters based on psychophysically plausible similarity measures. We propose a novel grouping method in this paper, which stresses connectedness of image elements via mediating elements rather than favoring high mutual similarity. This grouping principle yields superior clustering results when objects are distributed on low-dimensional extended manifolds in a feature space, and not as local point clouds. In addition to extracting connected structures, objects are singled out as outliers when they are too far away from any cluster structure. The objective function for this perceptual organization principle is optimized by a fast agglomerative algorithm. We report on perceptual organization experiments where small edge elements are grouped to smooth curves. The generality of the method is emphasized by results from grouping textured images with texture gradients in an unsupervised fashion.