Harry Andrews: Introduction to mathematical techniques in pattern
recognition. Wiley 1972.

D. Ballard: Generalizing the Hough transform to detect arbitrary  shapes.
Pattern Recognition 13/2 (1981), 111-122.

J. Bernardo/A. Smith: Bayesian theory. Wiley 1994.

27553 Christopher Bishop: Pattern recognition and machine learning.
Springer 2006, 740p. Eur 63.

Christopher Bishop/Geoffrey Hinton: Neural networks for pattern
recognition. Oxford UP 1995, 500p. Eur 49.

Belur Dasarathy (ed.): Nearest neighbor pattern classification techniques.
IEEE Computer Society 1991, 450p.

P. Devijver/J. Kittler: Pattern recognition -  a statistical approach.
Prentice-Hall 1982.

Richard Duda/Peter Hart: Use  of  the  Hough  transform  and its extensions for
curve detection. Communications of  ACM 15 (1972), 11-15.

Richard Duda/Peter Hart: Pattern classification and scene analysis. Wiley 1973.

Richard Duda/Peter Hart/D. Stork: Pattern classification. Wiley 2001, 650p. $125.

K. Fukunaga: Introduction to statistical pattern recognition.
Academic Press 1990.

Ulf Grenander: General pattern theory.
Oxford UP 1994, 900p. 0-19-853671-2. £130.

Ulf Grenander/Michael Miller: Pattern theory. Oxford UP 660p. Pds 50.

W. Grimson/D. Huttenlocher: On the sensitivity of the Hough transform for
object  recognition. IEEE Transactions on Pattern Analysis and Machine
Intelligence,  12/3 (1990), 255-274.

13332 Heinz Handels: Medizinische Bildverarbeitung.
Teubner 2000, 300p. 3-519-02947-2. DM 75.

16197 Trevor Hastie/Robert Tibshirani/Jerome Friedman: The elements of statistical
learning. Springer 2001, 520p. $71.

P. Hough: Method and means of recognizing complex patterns.
U.S. Patent 3069654, 1962.

J. Illingworth/J. Kittler: The adaptive  Hough transform.
IEEE Trans. Pattern Analysis Machine Intelligence, 9/5 (1987), 690-698.

24530 Risi Kondor: Group theoretical methods in machine learning.
PhD. thesis Columbia Univ. 2008, 110p.

Geoffrey McLachlan: Discriminant analysis and statistical pattern recognition.
Wiley 1992, 540p. $155.

16402 David Mumford: Pattern recognition - the mathematics of perception.
ICM 2002/III, 21p.

18173 Heinrich Niemann: Klassifikation von Mustern. Springer 2003, 490p.

Dietrich Paulus/Joachim Hornegger: Pattern recognition of images and speech
in C++. Vieweg 1997, 400p. 3-528-05558-8.

Monique Pavel: Fundamentals of pattern recognition.
Dekker 1993, 272p. $ 100.

S. Po''ppl: Abstandsmas''e und Fehlklassifikationswahrscheinlichkeiten
bei Zuordnungsproblemen fu''r die computergestu''tzte a''rztliche Diagnostik.
Habilitationsschrift TU Mu''nchen 1980.

S. Raudys: Statistical and neural classifiers. Springer 2001.

15300 Brian Ripley: Pattern recognition and neural networks.
Cambridge UP 2001, 400p. Eur 80.

M. Schlesinger/V. Hlavac: Ten lectures on statistical and structural
pattern recognition. Kluwer 2002.

Bernhard Scho''lkopf/Alexander Smola: Learning with kernels.
MIT Press 2001, 640p. $62.

16195 Jürgen Schürmann: Pattern classification. Wiley 1996, 370p.

15507 George Sebestyen: Decision-making processes in pattern recognition.
Macmillan 1962, 160p. Still very useful.

S. Theodoridis/K. Koutroumbas: Pattern recognition. Academic Press 1999.

Andrew Webb: Statistical pattern recognition. Wiley 2002, 530p. $55.

16349 Hong-kai Zhao: Analysis and visualization of large sets of unorganized
points using the distance function. Internet ca. 2002, 12p.

16350 Hong-kai Zhao/Stanley Osher: Visualization, analysis and shape reconstruction
of unorganized data sets. Internet ca. 2003, 25p.

16347 Hong-kai Zhao/Stanley Osher/Barry Merriman/Myungjoo Kang: Implicit and
non-parametric shape reconstruction from unorganized data using a variational
level set method. Comp. Vision Image Underst. 80 (2000), 295-314.