TY - GEN
T1 - Prewarping Siamese Network
T2 - 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
AU - Wu, Xiaomeng
AU - Kimura, Akisato
AU - Uchida, Seiichi
AU - Kashino, Kunio
PY - 2019/5
Y1 - 2019/5
N2 - We propose a neural network-based framework for learning local representations of multivariate time series, and demonstrate its effectiveness for online signature verification. In contrast to related works that optimize a global distance objective, we incorporate a Siamese network into dynamic time warping (DTW), leading to a novel prewarping Siamese network (PSN) optimized with a local embedding loss. PSN learns a feature space that preserves the temporal location-wise distances of local structures. Local embedding, along with the alignment conditions of DTW, imposes a temporal consistency constraint on the sequence-level distance measure while achieving invariance as regards non-linear distortions. Validation on online signature verification datasets demonstrates the advantage of our framework over existing techniques that use either handcrafted or learned feature representations.
AB - We propose a neural network-based framework for learning local representations of multivariate time series, and demonstrate its effectiveness for online signature verification. In contrast to related works that optimize a global distance objective, we incorporate a Siamese network into dynamic time warping (DTW), leading to a novel prewarping Siamese network (PSN) optimized with a local embedding loss. PSN learns a feature space that preserves the temporal location-wise distances of local structures. Local embedding, along with the alignment conditions of DTW, imposes a temporal consistency constraint on the sequence-level distance measure while achieving invariance as regards non-linear distortions. Validation on online signature verification datasets demonstrates the advantage of our framework over existing techniques that use either handcrafted or learned feature representations.
UR - http://www.scopus.com/inward/record.url?scp=85068994919&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068994919&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2019.8683036
DO - 10.1109/ICASSP.2019.8683036
M3 - Conference contribution
AN - SCOPUS:85068994919
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 2467
EP - 2471
BT - 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 May 2019 through 17 May 2019
ER -