Technics Publications – Metric Learning

Length 1h 5m  MP4

This video explores metric learning. These are the topics that will be covered:

Intuition behind metric learning
Importance of metrics in various tasks of machine learning like classification and regression
Example of using information retrieval (image search)
Mathematical definition of metric, commonly used metrics, and the process to choose a good metric according to the task at hand
Limitation of standard metrics from a classification point of view
Formal definition of metric learning
Classification constraints on metric learning
Learn-able metrics (mahalanobis distance)
Limitation of standard mahalanobis distance
How to modify mahalanobis distance to overcome limitations of using co-variance matrix
Science behind feature space transformation
Metric Learning Algorithms (LMNN and ITML)
Algorithms as optimization problems
Limitations of linear metric learning and their solutions
How to do metric learning from a practical point of view using KNN
Pointers on approaching any problem using KNN and metric learning





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