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Learning Theory Estimates with Observations from General Stationary Stochastic Processes

, , , and . Neural Computation, 28 (12): 2853-2889 (2016)
DOI: 10.1162/NECO_a_00870

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3-D Motion Estimation for Visual Saliency Modeling., , , , and . IEEE Signal Process. Lett., 20 (10): 972-975 (2013)Hidden Markov Model for eye gaze prediction in networked video streaming., , , and . ICME, page 1-6. IEEE Computer Society, (2011)3D motion in visual saliency modeling., , , , , and . ICASSP, page 1831-1835. IEEE, (2013)Low-Cost Eye Gaze Prediction System for Interactive Networked Video Streaming., , , , and . IEEE Trans. Multimedia, 15 (8): 1865-1879 (2013)Gaze-Driven video streaming with saliency-based dual-stream switching., , , and . VCIP, page 1-6. IEEE, (2012)A Rank-One Tensor Updating Algorithm for Tensor Completion., , and . IEEE Signal Process. Lett., 22 (10): 1633-1637 (2015)Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses., , , , and . Neural Computation, 28 (6): 1217-1247 (2016)Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems., , , and . SIAM Journal on Optimization, 26 (1): 171-196 (2016)Robust Gradient Learning With Applications., , and . IEEE Trans. Neural Netw. Learning Syst., 27 (4): 822-835 (2016)Learning Theory Estimates with Observations from General Stationary Stochastic Processes, , , and . Neural Computation, 28 (12): 2853-2889 (2016)