Research Article
Low-Rank Representation-Based Object Tracking Using Multitask Feature Learning with Joint Sparsity
Algorithm 1
The algorithm for low-rank representation-based multitask feature learning.
(1) Input: A data set of data points , and parameters , , , . | (2) Output: Optimal coefficient , and errors | (3) Initialization: Set , , , , , , , , , | , and | (4) Iterate until (18) and (19) is not satisfied: | Fix other variables and update using (7) | Fix other variables and update using (8) | Fix other variables and update and using (9) and (10) | Fix other variables and update using (12) | Update , , , and parameters using (13) | Update using (16) and (17) | (5) End |
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