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Investigating the feasibility of image-based nose biometrics., , , , , and . ICIP, page 522-526. IEEE, (2015)Biometric identification of cardiosynchronous waveforms utilizing person specific continuous and discrete wavelet transform features., , , , , , and . EMBC, page 4311-4314. IEEE, (2012)Is Pose Really Solved? A Frontalization Study On Off-Angle Face Matching., , , , and . WACV, page 2058-2067. IEEE, (2019)Pose estimation using Spectral and Singular Value recomposition., , and . ICPR, page 4095-4100. IEEE, (2016)Weakly Supervised Facial Analysis with Dense Hyper-Column Features., , , , , and . CVPR Workshops, page 93-101. IEEE Computer Society, (2016)Towards a deep learning framework for unconstrained face detection., , , , , and . BTAS, page 1-8. IEEE, (2016)Gait-ID on the move: Pace independent human identification using cell phone accelerometer dynamics., , , , and . BTAS, page 8-15. IEEE, (2012)Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses., , , and . ICCV, page 4000-4009. IEEE Computer Society, (2017)Robust Pose Invariant Face Recognition Using 3D Thin Plate Spline Spatial Transformer Networks.. Carnegie Mellon University, USA, (2018)Automatic segmentation of cardiosynchronous waveforms using cepstral analysis and continuous wavelet transforms., , , , , , and . ICIP, page 2045-2048. IEEE, (2012)