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Nonsmooth Analysis and Subgradient Methods for Averaging in Dynamic Time
  Warping Spaces

Nonsmooth Analysis and Subgradient Methods for Averaging in Dynamic Time Warping Spaces

23 January 2017
David Schultz
Brijnesh J. Jain
ArXivPDFHTML

Papers citing "Nonsmooth Analysis and Subgradient Methods for Averaging in Dynamic Time Warping Spaces"

3 / 3 papers shown
Title
Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor
  Classification in Dynamic Time Warping Spaces
Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor Classification in Dynamic Time Warping Spaces
Brijnesh J. Jain
David Schultz
32
22
0
24 Mar 2017
On the Existence of a Sample Mean in Dynamic Time Warping Spaces
On the Existence of a Sample Mean in Dynamic Time Warping Spaces
Brijnesh J. Jain
David Schultz
23
5
0
14 Oct 2016
Practical recommendations for gradient-based training of deep
  architectures
Practical recommendations for gradient-based training of deep architectures
Yoshua Bengio
3DH
ODL
193
2,198
0
24 Jun 2012
1