Download e-book for iPad: Advanced Topics In Biometrics by Haizhou Li, Kar-Ann Toh, Liyuan Li

By Haizhou Li, Kar-Ann Toh, Liyuan Li

ISBN-10: 9814287849

ISBN-13: 9789814287845

Biometrics is the research of tools for uniquely spotting people according to a number of intrinsic actual or behavioral features. After many years of study actions, biometrics, as a famous medical self-discipline, has complicated significantly either in functional know-how and theoretical discovery to satisfy the expanding want of biometric deployments. during this ebook, the editors offer either a concise and obtainable creation to the sphere in addition to an in depth insurance at the detailed learn issues of their strategies in a large spectrum of biometrics learn starting from voice, face, fingerprint, iris, handwriting, human habit to multimodal biometrics. The contributions additionally current the pioneering efforts and state of the art effects, with distinctive specialise in useful concerns referring to method improvement. This publication is a beneficial reference for verified researchers and it additionally supplies a superb creation for newbies to appreciate the demanding situations.

Show description

Read or Download Advanced Topics In Biometrics PDF

Similar artificial intelligence books

Download PDF by David Barber: Bayesian Reasoning and Machine Learning

Computer studying equipment extract price from colossal information units quick and with modest assets.

They are tested instruments in quite a lot of commercial functions, together with se's, DNA sequencing, inventory industry research, and robotic locomotion, and their use is spreading speedily. those that understand the tools have their number of worthwhile jobs. This hands-on textual content opens those possibilities to desktop technological know-how scholars with modest mathematical backgrounds. it really is designed for final-year undergraduates and master's scholars with restricted historical past in linear algebra and calculus.

Comprehensive and coherent, it develops every thing from simple reasoning to complex concepts in the framework of graphical types. scholars examine greater than a menu of options, they increase analytical and problem-solving talents that equip them for the true global. a number of examples and routines, either computing device established and theoretical, are incorporated in each bankruptcy.

Resources for college students and teachers, together with a MATLAB toolbox, can be found on-line.

Howard M. Schwartz's Multi-Agent Machine Learning: A Reinforcement Approach PDF

The booklet starts with a bankruptcy on conventional equipment of supervised studying, masking recursive least squares studying, suggest sq. blunders equipment, and stochastic approximation. bankruptcy 2 covers unmarried agent reinforcement studying.

Topics contain studying price services, Markov video games, and TD studying with eligibility lines. bankruptcy three discusses participant video games together with participant matrix video games with either natural and combined thoughts. a variety of algorithms and examples are provided. bankruptcy four covers studying in multi-player video games, stochastic video games, and Markov video games, targeting studying multi-player grid games—two participant grid video games, Q-learning, and Nash Q-learning. bankruptcy five discusses differential video games, together with multi participant differential video games, actor critique constitution, adaptive fuzzy keep watch over and fuzzy interference structures, the evader pursuit online game, and the protecting a territory video games. bankruptcy 6 discusses new rules on studying inside robot swarms and the leading edge concept of the evolution of character traits.

• Framework for knowing various tools and methods in multi-agent desktop learning.
• Discusses tools of reinforcement studying corresponding to a few types of multi-agent Q-learning
• acceptable to investigate professors and graduate scholars learning electric and computing device engineering, computing device technological know-how, and mechanical and aerospace engineering

Get Genetic Programming Theory and Practice VII (Genetic and PDF

Genetic programming has emerged as an immense computational technique for fixing complicated difficulties in a variety of disciplines. with a view to foster collaborations and facilitate the trade of rules and knowledge on the topic of the speedily advancing box of Genetic Programming, the yearly Genetic Programming conception and perform Workshop used to be equipped by means of the collage of Michigan’s middle for the learn of advanced structures to supply a discussion board for either those that boost computational conception and people who perform the paintings of computation.

Vincenzo De Florio's Innovations and approaches for resilient and adaptive PDF

"This publication is a entire number of wisdom on expanding the notions and versions in adaptive and constant structures, improving the attention of the function of adaptability and resilience in procedure environments"--Provided through writer. summary: "This ebook is a finished choice of wisdom on expanding the notions and types in adaptive and constant structures, bettering the notice of the position of adaptability and resilience in process environments"--Provided through writer

Extra info for Advanced Topics In Biometrics

Example text

Speech and Audio Processing 3, 1, 72–83, 1995. , Campbell, W. , and Boardman, I. Advances in channel compensation for SVM speaker recognition, in Proc. ICASSP, pp. 1:629–632, 2005. , and Stolcke, A. Modeling nerfs for speaker recognition, in Proc. Odyssey, pp. 51–56, 2004. , and Venkataraman, A. MLLR transforms as features in speaker recognition, in Proc. Eurospeech, pp. 2425–2428, 2005. , and Epps, J. Extraction of FM components from speech signals using an all-pole model, IET Electronics Letters 44, 6, 449–450, 2008.

2006a). The 36-dimension feature vectors extracted from an utterance were expanded to a higher-dimensional space by employing all monomials up to order 3, thus resulting in a feature space of 9139 dimensions. The expanded features were then averaged to form a single vector for each of the utterances. 5in Advanced Topics in Biometrics Text-Independent Speaker Recognition b1057-ch01 23 that the kernel inner product matrix is diagonal for computational simplicity. 2). The SRE04 data was used as the background dataset; the telephone and microphone data from SRE04, SRE05, and SRE06, and the interview data of Mixer 5 were applied for NAP training; and the 1conv4w telephone data of SRE05 were used for T -norm.

A. and Rose, R. Robust text-independent speaker identification using Gaussian mixture speaker models, IEEE Trans. Speech and Audio Processing 3, 1, 72–83, 1995. , Campbell, W. , and Boardman, I. Advances in channel compensation for SVM speaker recognition, in Proc. ICASSP, pp. 1:629–632, 2005. , and Stolcke, A. Modeling nerfs for speaker recognition, in Proc. Odyssey, pp. 51–56, 2004. , and Venkataraman, A. MLLR transforms as features in speaker recognition, in Proc. Eurospeech, pp. 2425–2428, 2005.

Download PDF sample

Advanced Topics In Biometrics by Haizhou Li, Kar-Ann Toh, Liyuan Li


by Charles
4.1

Rated 4.73 of 5 – based on 20 votes