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AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks.

, , and . IJCNN, page 1-9. IEEE, (2019)

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Performance Evaluation of Latent Variable Models with Sparse Priors., , , and . ICASSP (2), page 453-456. IEEE, (2007)Newton method for the ICA mixture model., , , and . ICASSP, page 1805-1808. IEEE, (2008)PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems., , , , and . ACSSC, page 2219-2223. IEEE, (2019)Validation of periodic fMRI signals in response to wearable tactile stimulation., , , and . NeuroImage, (2017)Strong Sub- and Super-Gaussianity., , and . LVA/ICA, volume 6365 of Lecture Notes in Computer Science, page 303-310. Springer, (2010)Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application., , and . J. Mach. Learn. Res., (2005)A spatial operator algebra for manipulator modeling and control., , and . ICRA, page 1374-1379. IEEE Computer Society, (1989)Hierarchical Event Descriptor (HED) tags for analysis of event-related EEG studies., , , , , , , , and . GlobalSIP, page 1-4. IEEE, (2013)Motion and Force Control of Multiple Robotic Manipulators, and . 28 (4): 729-743 (1992)Super-Gaussian Mixture Source Model for ICA., , and . ICA, volume 3889 of Lecture Notes in Computer Science, page 854-861. Springer, (2006)