Multiscale wavelets on trees, graphs and high dimensional data: Theory and applications to semi supervised learning

Keyphrases

• Semi-supervised Learning 100%
• Harmonic Analysis 100%
• High-dimensional Data 100%
• Tree Graph 100%
• Multiwavelets 100%
• Approximate Sparsity 66%
• Hierarchical Tree 33%
• Learning Algorithm 33%
• Signal Processing 33%
• Practical Algorithm 33%
• Statistical Inference 33%
• Learning Task 33%
• Orthonormal Basis 33%
• Transductive 33%
• Low Quality Data 33%
• Exponential Rate 33%
• Wavelet Coefficients 33%
• Coefficient Decay 33%
• Case Functions 33%
• High-dimensional Graphs 33%
• High-dimensional Network 33%

Computer Science

• Semisupervised Learning 100%
• Sparsity 100%
• High Dimensional Data 100%
• Tree Graph 100%
• Learning Algorithm 50%
• Wavelet Coefficient 50%
• Orthonormal Basis 50%
• Dimensional Data 50%

Mathematics

• Harmonic Analysis 100%
• Dimensional Data 100%
• Wavelet 100%
• Approximates 66%
• Euclidean Case 33%
• Exponential Rate 33%
• Learning Task 33%
• Orthonormal Basis 33%
• Inferential Statistics 33%
• Signal Processing 33%