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Enhancing Edge Intelligence with Highly Discriminant LNT Features
Along this line, we present a novel supervised learning method to generate highly discriminant complementary features based on the least-squares normal transform (LNT).
Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing
First, we adopt the particle swarm optimization (PSO) algorithm to speed up the search of a discriminant dimension that is expressed as a linear combination of current dimensions.
Subspace Learning Machine (SLM): Methodology and Performance
The partitioning process is recursively applied at each child node to build an SLM tree.
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