Relevant bibliographies by topics / Verification and identification

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Verification and identification'

Author: Grafiati
Published: 28 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Verification and identification"

1

Mesec, Chip. "Fingerprint identification versus verification." Biometric Technology Today 15, no. 9 (September 2007): 7. http://dx.doi.org/10.1016/s0969-4765(07)70157-1.

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Mammone, Richard J. "Speaker identification and verification system." Journal of the Acoustical Society of America 101, no. 2 (February 1997): 665. http://dx.doi.org/10.1121/1.419408.

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Jia-Ching Wang, Chung-Hsien Yang, Jhing-Fa Wang, and Hsiao-Ping Lee. "Robust Speaker Identification and Verification." IEEE Computational Intelligence Magazine 2, no. 2 (May 2007): 52–59. http://dx.doi.org/10.1109/mci.2007.353420.

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Li, Kung-Pu. "Automatic language identification/verification system." Journal of the Acoustical Society of America 104, no. 1 (July 1998): 31. http://dx.doi.org/10.1121/1.424049.

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Ciskowski, R. D., C. H. Liu, H. H. Ottesen, and S. U. Rahman. "System Identification: An experimental verification." IBM Journal of Research and Development 31, no. 5 (September 1987): 571–84. http://dx.doi.org/10.1147/rd.315.0571.

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Yeatman, Timothy J. "Predictive Biomarkers: Identification and Verification." Journal of Clinical Oncology 27, no. 17 (June 10, 2009): 2743–44. http://dx.doi.org/10.1200/jco.2008.21.5087.

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Grudzień, Artur, Marcin Kowalski, and Norbert Pałka. "Thermal Face Verification through Identification." Sensors 21, no. 9 (May 10, 2021): 3301. http://dx.doi.org/10.3390/s21093301.

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This paper reports on a new approach to face verification in long-wavelength infrared radiation. Two face images were combined into one double image, which was then used as an input for a classification based on neural networks. For testing, we exploited two external and one homemade thermal face databases acquired in various variants. The method is reported to achieve a true acceptance rate of about 83%. We proved that the proposed method outperforms other studied baseline methods by about 20 percentage points. We also analyzed the issue of extending the performance of algorithms. We believe that the proposed double image method can also be applied to other spectral ranges and modalities different than the face.
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Bensefia, Ameur, Thierry Paquet, and Laurent Heutte. "A writer identification and verification system." Pattern Recognition Letters 26, no. 13 (October 2005): 2080–92. http://dx.doi.org/10.1016/j.patrec.2005.03.024.

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Shinozuka, Masanobu, and Roger Ghanem. "Structural System Identification. II: Experimental Verification." Journal of Engineering Mechanics 121, no. 2 (February 1995): 265–73. http://dx.doi.org/10.1061/(asce)0733-9399(1995)121:2(265).

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Kinnunen, T., E. Karpov, and P. Franti. "Real-time speaker identification and verification." IEEE Transactions on Audio, Speech and Language Processing 14, no. 1 (January 2006): 277–88. http://dx.doi.org/10.1109/tsa.2005.853206.

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Dissertations / Theses on the topic "Verification and identification"

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Karamolegkou, Antonia. "Argument Mining: Claim Annotation, Identification, Verification." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448855.

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Researchers writing scientific articles summarize their work in the abstracts mentioning the final outcome of their study. Argumentation mining can be used to extract the claim of the researchers as well as the evidence that could support their claim. The rapid growth of scientific articles demands automated tools that could help in the detection and evaluation of the scientific claims’ veracity. However, there are neither a lot of studies focusing on claim identification and verification neither a lot of annotated corpora available to effectively train deep learning models. For this reason, we annotated two argument mining corpora and perform several experiments with state-of-the-art BERT-based models aiming to identify and verify scientific claims. We find that using SciBERT provides optimal results regardless of the dataset. Furthermore, increasing the amount of training data can improve the performance of every model we used. These findings highlight the need for large-scale argument mining corpora, as well as domain-specific pre-trained models.
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Carlton, Zachary M. "System Identification and Verification of Rotorcraft UAVs." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1491899295046484.

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Deng, Huimin, and 鄧惠民. "Robust minutia-based fingerprint verification." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37036427.

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Raman, Pujita. "Speaker Identification and Verification Using Line Spectral Frequencies." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/52964.

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State-of-the-art speaker identification and verification (SIV) systems provide near perfect performance under clean conditions. However, their performance deteriorates in the presence of background noise. Many feature compensation, model compensation and signal enhancement techniques have been proposed to improve the noise-robustness of SIV systems. Most of these techniques require extensive training, are computationally expensive or make assumptions about the noise characteristics. There has not been much focus on analyzing the relative importance, or speaker-discriminative power of different speech zones, particularly under noisy conditions. In this work, an automatic, text-independent speaker identification (SI) system and speaker verification (SV) system is proposed using Line Spectral Frequency (LSF) features. The performance of the proposed SI and SV systems are evaluated under various types of background noise. A score-level fusion based technique is implemented to extract complementary information from static and dynamic LSF features. The proposed score-level fusion based SI and SV systems are found to be more robust under noisy conditions. In addition, we investigate the speaker-discriminative power of different speech zones such as vowels, non-vowels and transitions. Rapidly varying regions of speech such as consonant-vowel transitions are found to be most speaker-discriminative in high SNR conditions. Steady, high-energy vowel regions are robust against noise and are hence most speaker-discriminative in low SNR conditions. We show that selectively utilizing features from a combination of transition and steady vowel zones further improves the performance of the score-level fusion based SI and SV systems under noisy conditions.
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Ozarkar, Malhar. "Design Parameter Identification and Verification for Thermoplastic Inserts." Thesis, Linköpings universitet, Mekanik och hållfasthetslära, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170132.

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Inserts are a crucial part of household and industrial furniture. These small plastic parts which often go unnoticed to the naked eye perform crucial functions like providing a base for the furniture, leveling the furniture, safeguarding the user from edges of the tubes used and providing an aesthetic finish. The inserts have a wing like structure on the exterior which enables them to be inserted and securely held in the tubes. The inserts are assembled into the pipes manually or through machines. The force required to install these inserts in the tube is called a push-in force whereas a pull-out force is the force required for removal of the is called a pull-out force. These forces are experienced by someone who assembles the furniture together. Thus, these forces directly define the ease with which the furniture can be assembled. In the first part of the present thesis, these push-in and pull-out forces are predicted using finite element simulations. These finite element simulations were validated by performing physical assembly and disassembly experiments on these inserts. It was found that the finite element simulations of the insert are useful tool in predicting the push-in forces with a high accuracy.   These push-in and pull-out forces for a single insert vary by 2-5 times when the dimensional variations in the tube are considered. The dimensional variations can be a result of the manufacturing processes from which these tubes are produced. The maximum and minimum dimensions that the tube can have are defined by the maximum material condition (MMC) and the least material condition (LMC). To reduce the variation in push-in and pull out forces, a stricter tolerance control can be applied to the manufacturing process. To avoid this cost while having a lower variation in the push-in and pull out forces, the design of the insert was modified. To achieve this enhanced design of the insert, a metamodel based optimization technique was used in the second part of the thesis. For this optimization, the geometrical parameters - wing height, wing diameter and stem thickness the of the insert were identified as the crucial factors which govern the assembly/disassembly forces. The identification of these parameters was done through a design of experiments. These parameters were then varied simultaneously in a metamodel based optimization which had an objective to minimize the variation in forces observed for an insert when the maximum material condition and the least material conditions are considered. The result for the enhanced design of the insert was then stated in terms of the ratio of these identified parameters. The modified design of the insert not only enables the manufacturer to have better performance, but also reduces the amount of plastic material required for manufacturing of the insert.
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Said, Huwida E. S. "Personal identification based on handwriting." Thesis, University of Reading, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299305.

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Jonsson, K. T. "Robust correlation and support vector machines for face identification." Thesis, University of Surrey, 2000. http://epubs.surrey.ac.uk/799/.

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Bulacu, Marius Lucian. "Statistical pattern recognition for automatic writer identification and verification." [S.l. : [Groningen : s.n.] ; University Library Groningen] [Host], 2007. http://irs.ub.rug.nl/ppn/300341644.

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Lack, Steven A. "Cell identification, verification, and classification using shape analysis techniques." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/6017.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2007.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on March 11, 2008) Includes bibliographical references.
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Chan, Siu Man. "Improved speaker verification with discrimination power weighting /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202004%20CHANS.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.
Includes bibliographical references (leaves 86-93). Also available in electronic version. Access restricted to campus users.
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Books on the topic "Verification and identification"

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Schlapbach, Andreas. Writer identification and verification. Berlin: Akademische Verlagsgesellschaft, 2008.

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Vacca, John R. Biometric technologies and verification systems. Amsterdam: Butterworth-Heinemann/Elsevier, 2007.

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Sangyōshō, Japan Keizai. Compatibility verification of e-passport for immigration control. [Tokyo]: Ministry of Economy, Trade and Industry, 2006.

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McCallister, Erika. Personal identity verification demonstration summary. Gaithersburg, MD: Information Technology Laboratory, National Institute of Standards and Technology, U.S. Dept. of Commerce, 2006.

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M, Sullivan Kathleen. Racing toward "Big Brother": Computer verification, national ID cards, and immigration control. Washington, D.C: National Council of La Raza, 1995.

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Abagnale, Frank W. Abagnale's document verification and currency transactions manual. Washington, D.C: Abagnale and Associates, 1991.

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Office, General Accounting. Social security numbers: Improved SSN verification and exchange of states' driver records would enhance identity verification : report to Congressional Requesters. Washington, D.C: GAO, 2003.

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Zimmermann, Wendy. SAVE and automated verification of immigration status. Washington, D.C. (2100 M St., N.W., Washington 20037): Urban Institute, 1990.

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United States. Congress. Senate. Committee on the Judiciary. Subcommittee on Immigration. Verification of applicant identity for purposes of employment and public assistance: Hearing before the Subcommittee on Immigration of the Committee on the Judiciary, United States Senate, One Hundred Fourth Congress, first session ... May 10, 1995. Washington: U.S. G.P.O., 1997.

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Anderson, Keith W. Closed circuit television system for incident identification and verification: I-5, Seattle freeway system : final report, experimental feature WA76-03. [Olympia, WA]: Washington State Dept. of Transportation, Planning, Research and Public Transportation Division in cooperation with the U.S. Dept. of Transportation, Federal Highway Administration, 1988.

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Book chapters on the topic "Verification and identification"

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Weik, Martin H. "identification and verification." In Computer Science and Communications Dictionary, 745. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8569.

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Asarin, Eugene, Alexandre Donzé, Oded Maler, and Dejan Nickovic. "Parametric Identification of Temporal Properties." In Runtime Verification, 147–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29860-8_12.

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Ashbourn, Julian. "Identification, verification and templates." In Biometrics: Advanced Identity Verification, 65–78. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0747-7_4.

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Gierasimczuk, Nina. "Identification through Inductive Verification." In Logic, Language, and Computation, 193–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00665-4_16.

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Schomaker, Lambert. "Writer Identification and Verification." In Advances in Biometrics, 247–64. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84628-921-7_13.

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Weik, Martin H. "user identification and verification." In Computer Science and Communications Dictionary, 1873. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_20587.

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Davis, Josh P., and Tim Valentine. "Human Verification of Identity from Photographic Images." In Forensic Facial Identification, 209–38. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118469538.ch9.

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Eon, Claude, and Henri Garrigue. "Verification Technologies: Sampling and Identification." In Verification of the Biological and Toxin Weapons Convention, 171–80. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-017-3643-5_7.

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Andreychenko, Aleksandr, Linar Mikeev, David Spieler, and Verena Wolf. "Parameter Identification for Markov Models of Biochemical Reactions." In Computer Aided Verification, 83–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22110-1_8.

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Galib, Asadullah Al, and Rashedur Mohammad Rahman. "Cloud Location Verification and Adversary Identification." In Advances in Intelligent Systems and Computing, 337–48. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13153-5_33.

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Conference papers on the topic "Verification and identification"

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Suibing Tong, Yuzhuo Fu, and Hefei Ling. "Verification-based pairwise gait identification." In 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2017. http://dx.doi.org/10.1109/icmew.2017.8026299.

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Ooi, Shih-Yin, Andrew Beng-Jin Teoh, and Thian-Songa Ong. "Offline Signature Verification through Biometric Strengthening." In 2007 IEEE Workshop on Automatic Identification Advanced Technologies. IEEE, 2007. http://dx.doi.org/10.1109/autoid.2007.380624.

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Veshkina, N., D. Obidowski, J. Świniarski, and I. Zbiciński. "Verification of Fluid Structure Interaction Model of Pulsating Flow in a Silicone Pipe." In Modelling, Identification, and Control. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.675-032.

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Balsubramanian, Sriram, Iyer R. Prashanth, and S. Ravishankar. "Mark sheet verification." In 2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication (2009 ASID). IEEE, 2009. http://dx.doi.org/10.1109/icasid.2009.5276942.

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Ueno, Kazuki, and Jun'ichi Yamaguchi. "Object identification by Hough data verification." In 2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2011). IEEE, 2011. http://dx.doi.org/10.1109/fcv.2011.5739702.

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Minho Jin, Jaewook Kim, and Chang D. Yoo. "Humming-based human verification and identification." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4959868.

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Schomaker, L. "Advances in Writer Identification and Verification." In Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2. IEEE, 2007. http://dx.doi.org/10.1109/icdar.2007.4377119.

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Pilkey, Deborah F., Gyuhae Park, and Daniel J. Inman. "Damping matrix identification and experimental verification." In 1999 Symposium on Smart Structures and Materials, edited by T. Tupper Hyde. SPIE, 1999. http://dx.doi.org/10.1117/12.349797.

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Tashan, Tariq, Tony Allen, and Lars Nolle. "Vowel based Speaker Verification using Self Organising Map." In Artificial Intelligence and Applications / Modelling, Identification, and Control. Calgary,AB,Canada: ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.717-022.

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Chong, L. Y., Andrew B. J. Teoh, and S. E. Khor. "2D CLAFIC Subspace Technique in Probabilistic Speaker Verification." In 2007 IEEE Workshop on Automatic Identification Advanced Technologies. IEEE, 2007. http://dx.doi.org/10.1109/autoid.2007.380620.

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Reports on the topic "Verification and identification"

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Mendoza, D. P. ,. Westinghouse Hanford. Tank waste remediation system FSAR hazard identification/facility configuration verification report. Office of Scientific and Technical Information (OSTI), May 1996. http://dx.doi.org/10.2172/662005.

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Rachel Henderson. Identification, Verification, and Compilation of Produced Water Management Practices for Conventional Oil and Gas Production Operations. Office of Scientific and Technical Information (OSTI), September 2007. http://dx.doi.org/10.2172/927588.

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Chiang, L. G., J. K. Mattingly, J. A. Ramsey, and J. T. Mihalczo. Verification of Uranium Mass and Enrichments of Highly Enriched Uranium (HEU) Using the Nuclear Materials Identification System (NMIS). Office of Scientific and Technical Information (OSTI), April 2000. http://dx.doi.org/10.2172/754364.

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Oran, D. Requirements for Distributed Control of Automatic Speech Recognition (ASR), Speaker Identification/Speaker Verification (SI/SV), and Text-to-Speech (TTS) Resources. RFC Editor, December 2005. http://dx.doi.org/10.17487/rfc4313.

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Rohrbough, James G., Linda Breci, Nirav Merchant, Susan Miller, and Paul A. Haynes. Verification of Single-Peptide Protein Identifications by the Application of Complementary Database Search Algorithms. Fort Belvoir, VA: Defense Technical Information Center, October 2005. http://dx.doi.org/10.21236/ada439637.

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