Structured sparse representations for supervised and unsupervised learning

• المؤلف الرئيسي: Zeng, Yijie
• مؤلفون آخرون: Huang Guangbin
• التنسيق: Thesis-Doctor of Philosophy
• اللغة: English
• منشور في: Nanyang Technological University 2020
• الموضوعات: Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/143420

Many problems in machine learning (ML) and computer vision (CV) deal with large amounts of data with variations and noise for underlying tasks. For example, object detection requires filtering semantic objects from noisy and varying backgrounds, and the ImageNet challenge requires to build a classif...