Self-Paced Learning for Semisupervised Image Classification

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Presentation transcript:

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

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