Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings
A Tutorial on Spectral Clustering
Collaborative Low-Rank Subspace Clustering
Kernel sparse subspace clustering
Robust subspace clustering via thresholding ridge regression
Correlational spectral clustering
Robust Principal Component Analysis with Complex Noise
Symmetric low-rank representation for subspace clustering
Subspace Clustering via Learning an Adaptive Low-Rank Graph
Approximate Orthogonal Sparse Embedding for Dimensionality Reduction
Kernel Cuts: Kernel and Spectral Clustering Meet Regularization
On the sample complexity of subspace clustering with missing data
Variational Deep Embedding: A Generative Approach to Clustering.
Density-Based Multiscale Analysis for Clustering in Strong Noise Settings With Varying Densities
Robust Spectral Learning for Unsupervised Feature Selection
Sparse Subspace Clustering via Group Sparse Coding
SpectralNet: Spectral Clustering using Deep Neural Networks
On clusterings-good, bad and spectral
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners
Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering
Robust graph regularized nonnegative matrix factorization for clustering
A −80dBm BLE-compliant, FSK wake-up receiver with system and within-bit dutycycling for scalable power and latency
The outcome of psychotherapy: Yesterday, today, and tomorrow.
Deep Learning Based Recognition of Meltdown in Autistic Kids
A CONJOINT STUDY OF THE RELATIONSHIP BETWEEN WEBSITE ATTRIBUTES AND CONSUMER PURCHASE INTENTIONS
Transductive Learning via Spectral Graph Partitioning