£55.99
Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging.
This large multidimensional data requires more efficient dimensionality reduction schemes than the traditional techniqu
Subspace Learning of Neural Networks
Manifold Learning Theory and Applications
Elements of Dimensionality Reduction and Manifold Learning
Linear Dimensionality Reduction
Dimensionality Reduction in Machine Learning
Multi-Label Dimensionality Reduction
Nonlinear Dimensionality Reduction Techniques
Theory and Computation of Tensors
Multi-aspect Learning
Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Multidimensional Systems: Signal Processing and Modeling Techniques
Dimensionality Reduction in Data Science