Current fully supervised facial landmark detection methods have progressed rapidly and
achieved remarkable performance. However, they still suffer when coping with faces under …

Eyeglasses removal is challenging in removing different kinds of eyeglasses, eg, rimless
glasses, full-rim glasses, and sunglasses, and recovering appropriate eyes. Due to the …

A novel neural network, namely, broad learning system (BLS), has shown impressive
performance on various regression and classification tasks. Nevertheless, most BLS models …

One key challenging problem in data mining and decision-making is to establish a decision
support system based on unbalanced datasets. In this study, we propose a novel algorithm …

The existing single dictionary learning algorithms are applied to face recognition and
achieve satisfactory results. However, their performance is poor when dealing with noisy …

Renal injury secondary to COVID-19 is an important factor for the poor prognosis of COVID-
19 patients. The pathogenesis of renal injury caused by aberrant immune inflammatory of …

Joint sparse representation (JSR) has attracted massive attention with many successful
applications in pattern recognition recently. In this paper, we propose a novel robust multi …

3-D Morphable model (3DMM) has widely benefited 3-D face-involved challenges given its
parametric facial geometry and appearance representation. However, previous 3-D face …

The critical step of learning the robust regression model from high-dimensional visual data is
how to characterize the error term. The existing methods mainly employ the nuclear norm to …

Recently, multi-view learning has achieved extraordinary success in many research areas
such as pattern recognition and data mining. Most existing multi-view methods mainly focus …