Practical Algorithms for Learning Near-Isometric Linear Embeddings

Jerry Luo, Kayla Shapiro, Hao-Jun Michael Shi +2

We propose two practical non-convex approaches for learning near-isometric, linear embeddings of finite sets of data points. Given a set of training points $\mathcal{X}$, we consid…