Bilevel model-based discriminative dictionary learning for recognition

• المؤلفون الرئيسيون: ZHOU, Pan, ZHANG, Chao, LIN Zhouchen
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2016
• الموضوعات: Sparse representation; dictionary learning; bilevel optimization; recognition; alternating direction method; Artificial Intelligence and Robotics; Software Engineering
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/8967; https://ink.library.smu.edu.sg/context/sis_research/article/9970/viewcontent/2016_TIP_bilevel.pdf
• المؤسسة: Singapore Management University

Most supervised dictionary learning methods optimize the combinations of reconstruction error, sparsity prior, and discriminative terms. Thus, the learnt dictionaries may not be optimal for recognition tasks. Also, the sparse codes learning models in the training and the testing phases are inconsist...