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Maximal Linear Embedding for Dimensionality Reduction.

, , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 33 (9): 1776-1792 (2011)

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Joint Representation and Truncated Inference Learning for Correlation Filter Based Tracking., , , , and . ECCV (9), volume 11213 of Lecture Notes in Computer Science, page 560-575. Springer, (2018)Face Recognition Under Varying Lighting Based on Derivates of Log Image., , and . SINOBIOMETRICS, volume 3338 of Lecture Notes in Computer Science, page 196-204. Springer, (2004)Learned local Gabor patterns for face representation and recognition., , , , and . Signal Process., 89 (12): 2333-2344 (2009)Pose-adaptive Hierarchical Attention Network for Facial Expression Recognition., , , and . CoRR, (2019)Pose Estimation Based on Gaussian Error Models., , , and . ICB, volume 3832 of Lecture Notes in Computer Science, page 136-143. Springer, (2006)Maximal Likelihood Correspondence Estimation for Face Recognition Across Pose., , , , , and . IEEE Trans. Image Processing, 23 (10): 4587-4600 (2014)Everything is in the Face? Represent Faces with Object Bank., , , and . ACCV Workshops (3), volume 9010 of Lecture Notes in Computer Science, page 180-193. Springer, (2014)Deformable face net for pose invariant face recognition., , , , and . Pattern Recognit., (2020)Emotion Recognition for In-the-wild Videos., , , and . CoRR, (2020)Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition., , , and . Comput. Vis. Image Underst., (2016)