مقاله یادگیری دیکشنری توسعه یافته هسته برای تشخیص چهره

عنوان مقاله فارسی: یادگیری دیکشنری توسعه یافته هسته برای تشخیص چهره عنوان مقاله لاتین: Learning Kernel Extended Dictionary for Face Recognition نویسندگان: Ke-Kun Huang; Dao-Qing Dai; Chuan-Xian Ren; Zhao-Rong Lai تعداد صفحات: 12 سال انتشار: 2017 زبان: لاتین Abstract: A sparse representation classifier (SRC) and a kernel discriminant analysis (KDA) are two successful methods for face recognition. An SRC is good at dealing with occlusion, while a KDA does well in suppressing intraclass variations. In this paper, we propose kernel extended dictionary (KED) for face recognition, which provides an efficient way for combining KDA and SRC. We first learn several kernel principal components of occlusion variations as an occlusion model, which can represent the possible occlusion variations