Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Multimodal sparse and low-rank subspace clustering
Subspace clustering
Multi-View Clustering and Feature Learning via Structured Sparsity
Low-rank similarity metric learning in high dimensions
Provable Subspace Clustering: When LRR Meets SSC
Mixture regression as subspace clustering
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation
Fast Compressive Spectral Clustering
Multiple view semi-supervised dimensionality reduction
Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing
Sparse principal component analysis via regularized low rank matrix approximation
delta - clusters : capturing subspace correlation in a large data set .
Document Clustering : Before and After the Singular Value Decomposition
Sparse Nonnegative Matrix Factorization for Clustering
Robust Kernel Low-Rank Representation
Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval
Robust Structured Subspace Learning for Data Representation
Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters
Efficient Low-rank Multimodal Fusion with Modality-Specific Factors
Interpretable Low-Rank Document Representations with Label-Dependent Sparsity Patterns
Robust manifold matrix factorization for joint clustering and feature extraction
A MapReduce Approach to NoSQL RDF Databases
Automatic recognition and analysis of human faces and facial expressions: a survey
PNeuro: A scalable energy-efficient programmable hardware accelerator for neural networks
Towards a software-defined Network Operating System for the IoT
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation