Mathematical Programming: Series A and B - Special issue: Festschrift in Honor of Philip Wolfe part II: studies in nonlinear programming
Data clustering using a model granular magnet
Neural Computation
The Geometry of Algorithms with Orthogonality Constraints
SIAM Journal on Matrix Analysis and Applications
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An experimental comparison of model-based clustering methods
Machine Learning
Introduction to Linear Optimization
Introduction to Linear Optimization
Speech and Audio Signal Processing: Processing and Perception of Speech and Music
Speech and Audio Signal Processing: Processing and Perception of Speech and Music
Constrained K-means Clustering with Background Knowledge
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Segmentation Using Eigenvectors: A Unifying View
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Multiclass Spectral Clustering
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Learning and Inferring Image Segmentations using the GBP Typical Cut Algorithm
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A maximum likelihood approach to single-channel source separation
The Journal of Machine Learning Research
Blind separation of disjoint orthogonal signals: demixing N sources from 2 mixtures
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A transductive framework of distance metric learning by spectral dimensionality reduction
Proceedings of the 24th international conference on Machine learning
Evolutionary spectral clustering by incorporating temporal smoothness
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning a Mahalanobis distance metric for data clustering and classification
Pattern Recognition
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Density-weighted nyström method for computing large kernel eigensystems
Neural Computation
Analyzing communities and their evolutions in dynamic social networks
ACM Transactions on Knowledge Discovery from Data (TKDD)
ACM Transactions on Accessible Computing (TACCESS)
Regularized Local Reconstruction for Clustering
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Fast approximate spectral clustering
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Monaural speech separation and recognition challenge
Computer Speech and Language
On evolutionary spectral clustering
ACM Transactions on Knowledge Discovery from Data (TKDD)
Kernel Learning for Local Learning Based Clustering
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
A regularized formulation for spectral clustering with pairwise constraints
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Automated text categorization based on readability fingerprints
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Knowledge and Information Systems
Spectral clustering with more than K eigenvectors
Neurocomputing
Single-channel speech separation based on long-short frame associated harmonic model
Digital Signal Processing
Spectral clustering with fuzzy similarity measure
Digital Signal Processing
Spectral clustering: A semi-supervised approach
Neurocomputing
Spectral clustering with discriminant cuts
Knowledge-Based Systems
A tripartite clustering analysis on microRNA, gene and disease model
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Image clustering via sparse representation
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Terrorist organization behavior prediction algorithm based on context subspace
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
Graph based k-means clustering
Signal Processing
Mind the eigen-gap, or how to accelerate semi-supervised spectral learning algorithms
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Hypergraph based information-theoretic feature selection
Pattern Recognition Letters
Hierarchical kernel spectral clustering
Neural Networks
SocialTransfer: cross-domain transfer learning from social streams for media applications
Proceedings of the 20th ACM international conference on Multimedia
Non-negative and sparse spectral clustering
Pattern Recognition
International Journal of Data Mining and Bioinformatics
Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty
The Journal of Machine Learning Research
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Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same cluster having high similarity and points in different clusters having low similarity. In this paper, we derive new cost functions for spectral clustering based on measures of error between a given partition and a solution of the spectral relaxation of a minimum normalized cut problem. Minimizing these cost functions with respect to the partition leads to new spectral clustering algorithms. Minimizing with respect to the similarity matrix leads to algorithms for learning the similarity matrix from fully labelled data sets. We apply our learning algorithm to the blind one-microphone speech separation problem, casting the problem as one of segmentation of the spectrogram.