Metaface learning for sparse representation based face recognition

By Meng Yang, Lei Zhang, David Dapeng Zhang. 2010 IEEE International Conference on Image Processing, 2010

347 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Fisher Discrimination Dictionary Learning for sparse representation (2011, methodology): “Different from these works, Yang et al. [13] learned a dictionary for each class and obtained better FR results than SRC. Ramirez et al. [11] used an incoherence promoting term to make the dictionaries associated with different classes as independent as possible.”
Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis (2012, methodology): “4 is a quadratically constrained quadratic program problem (QCQP) and we adopt a one-by-one update strategy [28] to solve it.”
A Survey of Sparse Representation: Algorithms and Applications (2015, methodology): “25 computes the dictionary class by class and it can be solved by exploiting the algorithm in the literatur e [139].”
Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification (2014, methodology): “…a shared dictionary by all classes is learnt but the representation coefficients are discriminative (Mairal et al. 2009; Zhang and Li 2010; Yang et al. 2010b; Rodriguez and Sapiro 2007; Pham and Venkatesh 2008; Jiang et al. 2013; Mairal et al. 2012; Lian et al. 2010; Qiu et al. 2011;…”
Supervised Coupled Dictionary Learning with Group Structures for Multi-modal Retrieval (2013, methodology): “This is a quadratically constrained quadratic program (QCQP) problem which can be solved using the method presented in (Yang et al. 2010).”