1. Self-Paced Learning for Semisupervised Image Classification
Latent Structural SVM
minimize 0.5 ||w||2 + sum_i s_i
max_{y, h} (wT(x_i, y, h) + (y_i, y)) - max_h (wT(x_i, y_i, h)) ≤ s_i
(x 3) 1 2 3 4 5
SPL: Ignore some examples.
SPL+: Ignore some kernels in some examples.
SPL++: Ignore some kernels is some examples when comparing against some incorrect labels.
 =
Kevin Miller – Stanford University 1

2. Self-Paced Learning for Semisupervised Image Classification
Kevin Miller – Stanford University 2