Content deleted Content added
m link nearest neighbor search using Find link |
m →Use in pattern recognition: Adding archives WP:LINKROT |
||
Line 98:
VQ was also used in the eighties for speech<ref>{{cite journal|last=Burton|first=D. K.|author2=Shore, J. E. |author3=Buck, J. T. |title=A generalization of isolated word recognition using vector quantization|journal=IEEE International Conference on Acoustics Speech and Signal Processing ICASSP|volume=8|year=1983|pages=1021–1024|doi=10.1109/ICASSP.1983.1171915}}</ref> and [[speaker recognition]].<ref>{{cite journal|last=Soong|first=F.|author2=A. Rosenberg |author3=L. Rabiner |author4=B. Juang |title=A vector Quantization approach to Speaker Recognition|journal=IEEE Proceedings International Conference on Acoustics, Speech and Signal Processing ICASSP|year=1985|volume=1|pages=387–390|doi=10.1109/ICASSP.1985.1168412|s2cid=8970593|url=https://www.semanticscholar.org/paper/9e1d50d98ae09c15354dbcb126609e337d3dc6fb}}</ref>
Recently it has also been used for efficient [[nearest neighbor search]]
<ref>{{cite journal|author=H. Jegou |author2=M. Douze |author3=C. Schmid|title=Product Quantization for Nearest Neighbor Search|journal=IEEE Transactions on Pattern Analysis and Machine Intelligence|year=2011|volume=33|issue=1|pages=117–128|doi=10.1109/TPAMI.2010.57|pmid=21088323 |url=http://hal.archives-ouvertes.fr/docs/00/51/44/62/PDF/paper_hal.pdf |archive-url=https://web.archive.org/web/20111217142048/http://hal.archives-ouvertes.fr/docs/00/51/44/62/PDF/paper_hal.pdf |archive-date=2011-12-17 |url-status=live|citeseerx=10.1.1.470.8573 |s2cid=5850884 }}</ref>
and on-line signature recognition.<ref>{{cite journal|last=Faundez-Zanuy|first=Marcos|title=offline and On-line signature recognition based on VQ-DTW|journal=Pattern Recognition|year=2007|volume=40|issue=3|pages=981–992|doi=10.1016/j.patcog.2006.06.007}}</ref>
In [[pattern recognition]] applications, one codebook is constructed for each class (each class being a user in biometric applications) using acoustic vectors of this user. In the testing phase the quantization distortion of a testing signal is worked out with the whole set of codebooks obtained in the training phase. The codebook that provides the smallest vector quantization distortion indicates the identified user.
| |||