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Learning Multi-channel Deep Feature Representations for Face Recognition.

, , , and . FE@NIPS, volume 44 of JMLR Workshop and Conference Proceedings, page 60-71. JMLR.org, (2015)

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A novel, fast, and complete 3D segmentation of vertebral bones., , , , , , and . ICASSP, page 654-657. IEEE, (2010)Learning Multi-channel Deep Feature Representations for Face Recognition., , , and . FE@NIPS, volume 44 of JMLR Workshop and Conference Proceedings, page 60-71. JMLR.org, (2015)A new segmentation and registration approach for vertebral body analysis., , , , , and . ISBI, page 2006-2009. IEEE, (2011)Probabilistic shape-based segmentation method using level sets., , , and . IET Comput. Vis., 8 (3): 182-194 (2014)On Detecting Partially Occluded Faces with Pose Variations., , , and . ISPAN-FCST-ISCC, page 28-37. IEEE Computer Society, (2017)A novel probabilistic simultaneous segmentation and registration using level set., , , , , and . ICIP, page 2161-2164. IEEE, (2011)Vertebral body segmentation with prior shape constraints for accurate BMD measurements., , and . Comput. Medical Imaging Graph., 38 (7): 586-595 (2014)Learning sparse and scale-free networks., , and . DSAA, page 326-332. IEEE, (2014)Analyzing and learning sparse and scale-free networks using Gaussian graphical models., , and . Int. J. Data Sci. Anal., 1 (2): 99-109 (2016)Unsupervised Learning and Image Classification in High Performance Computing Cluster., , , and . ICMLA, page 576-581. IEEE, (2015)