R. Baron and R. Plamondon, Acceleration measurement with an instrumented pen for signature verification and handwriting analysis, IEEE Transactions on Instrumentation and Measurement, vol.38, issue.6, pp.1132-1138, 1989.
DOI : 10.1109/19.46414

H. Bunke, J. Csirik, Z. Gingl, and E. Griechisch, Online Signature Verification Method Based on the Acceleration Signals of Handwriting Samples, In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) LNCS, vol.150, issue.6, pp.499-506, 2011.
DOI : 10.1049/ip-vis:20031078

V. Cherkassky, S. Dhar, and W. Dai, Practical Conditions for Effectiveness of the Universum Learning, IEEE Transactions on Neural Networks, vol.22, issue.8, pp.1241-1255, 2011.
DOI : 10.1109/TNN.2011.2157522

S. Dhar, Analysis and Extensions of Universum Learning, pp.37-116, 2014.

E. Griechisch, M. I. Malk, M. Liwicki, D. Icdar-impedovo, and G. Pirlo, Online signature analysis based on accelerometric and gyroscopic pens and legendre series Automatic Signature Verification: The State of the Art, Proceedings of the International Conference on Document Analysis and Recognition, pp.609-635, 2008.

M. I. Malik, S. Ahmed, A. Dengel, and M. Liwicki, A Signature Verification Framework for Digital Pen Applications, 2012 10th IAPR International Workshop on Document Analysis Systems, pp.419-423, 2012.
DOI : 10.1109/DAS.2012.10

P. Mautner, O. Rohlik, V. Matousek, and J. Kempf, Signature verification using ART-2 neural network, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02., pp.2-636, 2002.
DOI : 10.1109/ICONIP.2002.1198135

M. Parodi, J. C. Gómez, and M. Liwicki, Online Signature Verification Based on Legendre Series Representation: Robustness Assessment of Different Feature Combinations, 2012 International Conference on Frontiers in Handwriting Recognition, pp.379-384, 2012.
DOI : 10.1109/ICFHR.2012.251

R. Plamondon and M. Parizeau, Signature verification from position, velocity and acceleration signals: a comparative study, [1988 Proceedings] 9th International Conference on Pattern Recognition, pp.260-265, 1988.
DOI : 10.1109/ICPR.1988.28218

O. Rohlik, P. Mautner, and V. Matousek, A new approach to signature verification: digital data acquisition pen, Neural Networks IEEE Transactions, 2000.

B. Settles, Active learning literature survey, 2010.

H. Seung, M. Opper, and H. Sompolinsky, Query by committee, Proceedings of the fifth annual workshop on Computational learning theory , COLT '92, pp.287-294, 1992.
DOI : 10.1145/130385.130417

A. Shastry, R. Burchfield, and S. Venkatesan, Dynamic Signature Verification Using Embedded Sensors, 2011 International Conference on Body Sensor Networks, pp.168-173, 2011.
DOI : 10.1109/BSN.2011.36

F. Sinz, O. Chapelle, A. Agarwal, and B. Schölkopf, An Analysis of Inference with the Universum, Advances in Neural Information Processing Systems, pp.1-8, 2008.

B. Smart, P. Device, M. Bashir, G. Scharfenberg, and J. Kempf, Person Authentication by Handwriting in air using a 2 Biometric Smart Pen Device for Data Acquisition, pp.219-226

H. Weiping, Y. Xiufen, and W. Kejun, A survey of off-line signature verification, 2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings., pp.536-541, 2004.
DOI : 10.1109/ICIMA.2004.1384253

J. Weston, R. Collobert, and F. Sinz, Inference with the Universum, Proceedings of the 23rd international conference on Machine learning , ICML '06, pp.1009-1016, 2006.
DOI : 10.1145/1143844.1143971

Q. Z. Wu, I. C. Jou, and S. Y. Lee, On-line signature verification using LPC cepstrum and neural networks, IEEE Transactions on Systems, Man, and Cybernetics. Part B Cybernetics : A Publication of the IEEE Systems, Man, and Cybernetics Society, vol.27, pp.148-153, 1997.