Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Machine learning approches and pattern recognition for spectral data
Pattern recognition and machine learning
Spectral Ensemble Clustering
Machine learning in geosciences and remote sensing
Learning Spectral Clustering
A Survey on Spectral–Spatial Classification Techniques Based on Attribute Profiles
Pattern Discovery Techniques for Music Audio
Advances in Spectral-Spatial Classification of Hyperspectral Images
A Repeated Signal Difference for Recognising Patterns
Use of Fourier and Karhunen-Loeve Decomposition for Fast Pattern Matching With a Large Set of Templates
Spectral Representations for Convolutional Neural Networks
Denoising MR Spectroscopic Imaging Data With Low-Rank Approximations
Machine Learning for Seismic Signal Processing: Phase Classification on a Manifold
Detecting Signal Structure from Randomly-Sampled Data
Unsupervised feature selection using nonnegative spectral analysis
A Probabilistic Approach to Spectral Graph Matching
Musical instrument recognition using cepstral coefficients and temporal features
Neural Networks: A Pattern Recognition Perspective
Stock time series pattern matching: Template-based vs. rule-based approaches
Spectro-temporal features for Automatic Speech Recognition using Linear Prediction in spectral domain
Hyperspectral image analysis using deep learning — A review
A Formal Graph Model for RDF and Its Implementation
Domain Specific Semantic Validation of Schema.org Annotations
Variational message passing
Evaluation of delta compression techniques for efficient live migration of large virtual machines
The interplay between system identification and machine learning