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This module is a custom implementation of the Large Margin Nearest Neighbor classification scheme of Weinberger, Saul, et al. (2009). It contains an implementation of the k-nearest neighbor and LMNN classifier as well as (most importantly) gradient calculation schemes on the LMNN cost function given a sequential data set and a user-choice of alignment algorithm. This enables users to learn parameters of the alignment distance in question using a gradient descent on the LMNN cost function. More information on this approach can be found in the Masters Thesis "Adaptive Affine Sequence Alignment Using Algebraic Dynamic Programming"

BoofCV is an open source Java library for real-time computer vision and robotics applications.

Learning code developed from 'Artificial Intelligence a Modern Approach', Prentice Hall.

Learning code developed from 'Artificial Intelligence a Modern Approach', Prentice Hall.

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BoofCV is an open source Java library for real-time computer vision and robotics applications.

A Java library that provides core elements for building rule-based classifiers