Data Dependent Distance Metric for Efficient Gaussian Processes Classification

Abstract

The contributions of this work are threefold. First, various metric learning techniques are analyzed and systematically studied under a unified framework to highlight the criticality of data-dependent distance metric in machine learning. The metric learning algorithms are categorized as naive, semi-naive, complete and high-level metric learning, under a… (More)

Topics

5 Figures and Tables

Slides referencing similar topics