Research Article
Kernel-Based Multiview Joint Sparse Coding for Image Annotation
Algorithm 2
Label prediction procedure.
Input: | The feature view of test image , | Feature view of training images , , | Learned dictionary, | Tuning parameter . | Output: | Predicted labels for the test image. | (1) Calculate by Eq. (18) | (2) For | (3) Find the five largest values in and corresponding indices | (4) Find sample label column vectors in corresponding to these indices | (5) End For | (6) Compute and rank the weighted frequency of labels appeared in all the found samples, with weights equaling to | the product coefficients of | (7) Transfer labels according to their calculated frequency. |
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