Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems

Figure 3

The classification boundary adjustment processes of EZ-LDA. (a) The initial 20 training samples; (b) 20 training samples + 20 test samples; (c) 20 training samples + 40 test samples; (d) 20 training samples + 60 test samples. Star: the samples in the first class; filled circle: the samples in the second class; blue: the samples in the training set; red: the higher probability test samples for extending the training set; grey: the lower probability test samples.

(a)

(b)

(c)

(d)