Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Hierarchical Singular Value Decomposition of Tensors
Tensor Decompositions and Applications
Scalable sparse tensor decompositions in distributed memory systems
A New Convex Relaxation for Tensor Completion
Non-Negative Tensor Factorization with RESCAL
A Novel Sparsity Measure for Tensor Recovery
Scalable Tensor Decompositions for Multi-aspect Data Mining
Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD
Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering
Parallel matrix factorization for low-rank tensor completion
A New Sampling Technique for Tensors
Cross: Efficient Low-rank Tensor Completion
Online Robust Low-Rank Tensor Modeling for Streaming Data Analysis
PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images
Algorithms for nonnegative matrix and tensor factorizations : a unified view based on block coordinate descent framework
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm
Reweighted Low-Rank Tensor Completion and its Applications in Video Recovery
Structured low-rank approximation and its applications
A Randomized Singular Value Decomposition Algorithm For Image Processing Applications
A fused deep learning architecture for viewpoint classification of echocardiography
On the best rank-1 approximation of higher-order supersymmetric tensors
a projection pursuit algorithm for exploratory data analysis .
Anomaly Detection Using Replicator Neural Networks Trained on Examples of One Class
Guided Sequence-to-Sequence Learning with External Rule Memory