Simple and deterministic matrix sketching 论文
2013引用 271
Sparse and Compressive Sensing TechniquesStochastic Gradient Optimization TechniquesTensor decomposition and applications
摘要
A sketch of a matrix A is another matrix B which is significantly smaller than A but still approximates it well. Finding such sketches efficiently is an important building block in modern algorithms for approximating, for example, the PCA of massive matrices. This task is made more challenging in the streaming model, where each row of the input matrix can only be processed once and storage is severely limited.