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Machine Learning-enabled Performance Model for DNN Applications and AI Accelerator.

, , , , , , , , and . HPCC/DSS/SmartCity/DependSys, page 25-34. IEEE, (2022)

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Boosting the Minimum Margin: LPBoost vs. AdaBoost., and . DICTA, page 533-539. IEEE Computer Society, (2008)Data-Driven Street Scene Layout Estimation for Distant Object Detection., , and . DICTA, page 1-7. IEEE, (2014)Locality-Regularized Linear Regression for face recognition., , and . ICPR, page 1586-1589. IEEE Computer Society, (2012)LACBoost and FisherBoost: Optimally Building Cascade Classifiers., , and . ECCV (2), volume 6312 of Lecture Notes in Computer Science, page 608-621. Springer, (2010)On the Dual Formulation of Boosting Algorithms., and . IEEE Trans. Pattern Anal. Mach. Intell., 32 (12): 2216-2231 (2010)Robust Face Recognition via Accurate Face Alignment and Sparse Representation., , and . DICTA, page 262-269. IEEE Computer Society, (2010)Fast Kernel Sparse Representation., , and . DICTA, page 72-77. IEEE Computer Society, (2011)Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval., , , , , and . CoRR, (2023)Rapid face recognition using hashing., , and . CVPR, page 2753-2760. IEEE Computer Society, (2010)Machine Learning-enabled Performance Model for DNN Applications and AI Accelerator., , , , , , , , and . HPCC/DSS/SmartCity/DependSys, page 25-34. IEEE, (2022)