Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Co-regularized Multi-view Spectral Clustering
A Co-training Approach for Multi-view Spectral Clustering
Discriminatively Embedded K-Means for Multi-view Clustering
Multi-View Clustering and Feature Learning via Structured Sparsity
Kernel Cuts: Kernel and Spectral Clustering Meet Regularization
Fast Compressive Spectral Clustering
Multi-view Subspace Clustering
An RKHS for multi-view learning and manifold co-regularization
Generalized Latent Multi-View Subspace Clustering
Kernel k-means: spectral clustering and normalized cuts
A Tutorial on Spectral Clustering
Multiclass spectral clustering
a co - regularization approach to semi - supervised learning with multiple views .
Spectral Sparse Representation for Clustering: Evolved from PCA, K-means, Laplacian Eigenmap, and Ratio Cut
Affinity aggregation for spectral clustering
Correlational spectral clustering
Co-regularized least square regression for multi-view multi-class classification
Deep Spectral Clustering Learning
Multiview Clustering via Adaptively Weighted Procrustes
Spectral Ensemble Clustering
Fast approximate spectral clustering
Analyzing the effectiveness and applicability of co-training
CANCER PREDICTION SYSTEM USING DATA MINING TECHNIQUES
A review of customer relationship management: successes, advances, pitfalls and futures
Atherosclerosis in rheumatoid arthritis: is it all about inflammation?
Individual brain structure and modelling predict seizure propagation