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This figure illustrates large intra class variance in each class.
In [23], minimum class variance extreme learning machine (MCVELM) was proposed for human action recognition.
However, instead of using the default average intra-class variance to define SNR, we adopt the user-specific intra-class variance to compute the user-specific SNR for each feature component to obtain an improved precision: SNR j d = ( σ d ) 2 ( σ j d ) 2 = inter - class variance intra - class variance, j ∈ { 1, 2,..., J }, d ∈ { 1, 2,..., D } (4).
Based on this idea, in this work, we propose the regularized minimum class variance extreme learning machine (RMCVELM) which minimizes the empirical risk, structural risk, and intra-class variance of training data in the decision space simultaneously.
In particular, in Caltech 256 the intra class variance is very large, making it more challenging for image classification.
The mentioned datasets are challenging for image classification because of their large intra class variance and inter class relationship.
Similar(37)
The modified within-class variance criterion, 2.
This is also equivalent to maximizing the inter-class variance.
The technique is meant to reduce the intra-class variance of the features while increasing the inter-class variance.
LDA [30] maximizes the ratio of between-class variance to the within-class variance in any dataset.
Fine-grained image recognition, a computer vision task filled with challenges due to its imperceptible inter-class variance and large intra-class variance, has been drawing increasing attention.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com