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Transformation groups, such as translations or rotations, effectively express part of the variability observed in many recognition problems.
M.H. Stone, “On one-parameter unitary Groups in Hilbert Space”, Ann. of Mathematics, 1932
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Y.LeCun, L.Bottou, Y.Bengio, P.Haffner, “Gradient-Based Learning Applied to Document Recognition”, IEEE, 1998
1998
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C.Cadieu, B.Olshausen, “Learning Transformational Invariants from Natural Movies”, NIPS 2009
2009
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K.Gregor, A. Szlam, Y.Lecun, “Structured Sparse Coding via lateral inhibition”, NIPS, 2011
2011
Cited alongside, same era.
J. Bruna, S. Mallat, “Invariant Scattering Convolutional Networks”, IEEE TPAMI, 2012
2012
Cited alongside, same era.
S. Mallat, “Group Invariant Scattering”, CPAM, 2012
2012
Later among the works it cites.
L.Sifre, S.Mallat, “Combined Scattering for Rotation Invariant Texture Analysis”, ESANN, 2012
2012
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