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Taking the Hidden Route: Deep Mapping of Affect via 3D Neural Networks.

, , , , and . ICIAP Workshops, volume 10590 of Lecture Notes in Computer Science, page 189-196. Springer, (2017)

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Minimum Neighbor Distance Estimators of Intrinsic Dimension., , , , and . ECML/PKDD (2), volume 6912 of Lecture Notes in Computer Science, page 374-389. Springer, (2011)A Novel Intrinsic Dimensionality Estimator Based on Rank-Order Statistics., , , , , and . CHDD, volume 7627 of Lecture Notes in Computer Science, page 102-117. Springer, (2012)Linear Regularized Compression of Deep Convolutional Neural Networks., , and . ICIAP (1), volume 10484 of Lecture Notes in Computer Science, page 244-253. Springer, (2017)Local Intrinsic Dimensionality Based Features for Clustering., , , , and . ICIAP (1), volume 8156 of Lecture Notes in Computer Science, page 41-50. Springer, (2013)Neighborhood Selection for Dimensionality Reduction., , and . ICIAP (1), volume 9279 of Lecture Notes in Computer Science, page 183-191. Springer, (2015)DANCo: Dimensionality from Angle and Norm Concentration, , , , , and . CoRR, (2012)DANCo: An intrinsic dimensionality estimator exploiting angle and norm concentration., , , , , and . Pattern Recognit., 47 (8): 2569-2581 (2014)Taking the Hidden Route: Deep Mapping of Affect via 3D Neural Networks., , , , and . ICIAP Workshops, volume 10590 of Lecture Notes in Computer Science, page 189-196. Springer, (2017)Novel high intrinsic dimensionality estimators., , , , and . Mach. Learn., 89 (1-2): 37-65 (2012)