A major new professional reference work on fingerprint security systems and technology from leading international researchers in the field Handbook provides authoritative and comprehensive coverage of all major topics, concepts, and methods for fingerprint security systems This unique reference work is an absolutely essential resource for all biometric security professionals, researchers, and systems administrators

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Handbook of Fingerprint Recognition

We introduce a new method of constructing kernels on sets whose elements are discrete structures like strings, trees and graphs. The method can be applied iteratively to build a kernel on a innnite set from kernels involving generators of the set. The family of kernels generated generalizes the family of radial basis kernels. It can also be used to deene kernels in the form of joint Gibbs probability distributions. Kernels can be built from hidden Markov random elds, generalized regular expressions, pair-HMMs, or ANOVA de-compositions. Uses of the method lead to open problems involving the theory of innnitely divisible positive deenite functions. Fundamentals of this theory and the theory of reproducing kernel Hilbert spaces are reviewed and applied in establishing the validity of the method.

Convolution kernels on discrete structures

Theoretical results concerning the capabilities and limitations of various neural network models are summarized, and some of their extensions are discussed. The network models considered are divided into two basic categories: static networks and dynamic networks. Unlike static networks, dynamic networks have memory. They fall into three groups: networks with feedforward dynamics, networks with output feedback, and networks with state feedback, which are emphasized in this work. Most of the networks discussed are trained using supervised learning. >

Progress in supervised neural networks

The problem of inducing, learning or inferring grammars has been studied for decades, but only in recent years has grammatical inference emerged as an independent field with connections to many scientific disciplines, including bio-informatics, computational linguistics and pattern recognition. This book meets the need for a comprehensive and unified summary of the basic techniques and results, suitable for researchers working in these various areas. In Part I, the objects of use for grammatical inference are studied in detail: strings and their topology, automata and grammars, whether probabilistic or not. Part II carefully explores the main questions in the field: What does learning mean? How can we associate complexity theory with learning? In Part III the author describes a number of techniques and algorithms that allow us to learn from text, from an informant, or through interaction with the environment. These concern automata, grammars, rewriting systems, pattern languages or transducers.

Grammatical Inference: Learning Automata and Grammars

Formal models of language learning.

Inference of high-dimensional grammars is discussed. Specifically, techniques for inferring tree grammars are briefly presented. The problem of inferring a stochastic grammar to model the behavior of an information source is also introduced and techniques for carrying out the inference process are presented for a class of stochastic finite-state and context-free grammars. The possible practical application of these methods is illustrated by examples.

Grammatical Inference: Introduction and Survey - Part II

Grammatical Inference: Introduction and Survey-Part II

Preparing the specialists who sustain computer progress has long been overlooked. The Computer Society has joined with the ACM to resolve the problem of educational standards for engineers, programmers, and technicians. The explosive growth ofcomputer technology during the last half of this century has been driven, in part, by contributions from institutions of higher education. But just as education has contributed to the growth of the computer field, computer technology has influenced all phases ofeducation. In most cases, this intimate connection between education and computer technology has produced positive results. However, as with any new field, there have been many false starts and unfulfilled hopes, the former stemming from a lack of knowledge and the latter from results that could not be achieved. The 1980's is the first decade in which computer technology has impacted all branches of education. Before this decade, computer education was a concern of a relatively small number of students interested in employment either in computer science or engineering or in a closely related area. The resulting computer education programs were very specialized and were based on the assumption that anyone planning on entering a career or occupation requiring extensive computer use had to have an in-depth understanding of the computing process. The computer field has matured to the point that most of us accept computers as a normal part of our professional and personal lives. However, the impact of advances in computer technology on education and the educational process is just starting to be realized.

Computer Education

As interactive computing has developed, a more comprehensive design methodology is required to produce high-performance software. To achieve this goal, consideration of user performance must be included as an integrated part of the development process. An approach that allows a software engineer to integrate user performance as a design dimension in interactive software system design is presented. This approach is used to study the design of a text editor. >

Software optimization using user models

The software design process is discussed from an engineering point of view. Initially, a distinction is made between software design and program design. Software design is then described in terms of evolving a system architecture independently of implementation considerations. Computation structures are introduced as a means of modeling the dynamic behavior of a software architecture. Functional completeness, quality, machine independence, and performance completeness of a design are then used as criteria for engineering design decisions. Finally, the basic elements of a system to support the software design process are described.

Taylor L. Booth

Papers

Grammatical Inference: Introduction and Survey - Part II

Grammatical Inference: Introduction and Survey-Part II

Computer Education

Software optimization using user models

Towards an engineering approach to software design