Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing
Nonnegative Matrix Factorization for Spectral Data Analysis
Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations
Expectation-maximization for sparse and non-negative PCA
Multiple Feature Learning for Hyperspectral Image Classification
Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization
Hyperspectral coded aperture (HYCA): A new technique for hyperspectral compressive sensing
Advanced Spectral Classifiers for Hyperspectral Images: A review
Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF
Recent Advances on Spectral–Spatial Hyperspectral Image Classification: An Overview and New Guidelines
Unsupervised Spectral–Spatial Feature Learning via Deep Residual Conv–Deconv Network for Hyperspectral Image Classification
Semisupervised Neural Networks for Efficient Hyperspectral Image Classification
Local Learning Regularized Nonnegative Matrix Factorization
Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation
Crop Yield Estimation Based on Unsupervised Linear Unmixing of Multidate Hyperspectral Imagery
Nonsmooth nonnegative matrix factorization (nsNMF)
Compressive Hyperspectral Imaging With Side Information
Multiple Kernel Learning for Hyperspectral Image Classification: A Review
Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent
Learning the parts of objects by non-negative matrix factorization
A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion
Universal Intelligence: A Definition of Machine Intelligence
A multi-lane MIPI CSI receiver for mobile camera applications
Resisting structural re-identification in anonymized social networks
Errata for Remote Sensing : The Image Chain Approach 2
Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach