The era of detailed comparisons of the merits of techniques of pattern recognition and artificial intelligence and of the integration of such techniques into flexible and powerful systems has begun.So confirm the editors of this fourth volume of Pattern Recognition in Practice, in their preface to the book.The 42 quality papers are sourced from a broad range of international specialists involved in developing pattern recognition methodologies and those using pattern recognition techniques in their professional work. The publication is divided into six sections: Pattern Recognition, Signal and Image Processing, Probabilistic Reasoning, Neural Networks, Comparative Studies, and Hybrid Systems, giving prospective users a feeling for the applicability of the various methods in their particular field of specialization.
Preface. Acknowledgements. Pattern Recognition. Patterns in the role of
knowledge representation (T. Vįmos). Application of evidence theory to k-NN
pattern classification (T. Denux). Decision trees and domain knowledge in
pattern recognition (D.T. Morris, D. Kalles). Object recognition using hidden
Markov models (J. Hornegger, H. Niemann, D. Paulus, G. Schlottke). Inference
of syntax for point sets (M.D. Alder). Recognising cubes in images (R.A.
McLaughlin, M.D. Alder). Syntactic pattern classification of moving objects
in a domestic environment (G. Lim, M.D. Alder, C.J.S. deSilva). Initializing
the EM algorithm for use in Gaussian mixture modelling (P. McKenzie, M.D.
Alder). Predicting REM in sleep EEG using a structural approach (A.L.N. Fred,
A.C. Rosa, J.M.N. Leitćo). Discussions. Signal and Image Processing. On the
problem of restoring original structure of signals (images) corrupted by
noise (V.L. Brailovsky, Y. Kempner). Reflectance ratios: an extension of
Land's Retinex Theory (S.K. Nayar, R.M. Bolle). A segmentation algorithm
based on AI techniques (C. Di Ruberto, N. Di Ruocco, S. Vitulano). Graph
matching by discrete relaxation (R. Wilson, E.R. Hancock). Inexact matching
using neural networks (J. Feng, M. Laumy, M. Dhome). Matching of curvilinear
structures: application to the identification of cortical sulci on 3D
magnetic resonance brain image (S. Legoupil, H. Fawal, M. Desvignes, M.
Revenu, D. Bloyet, P. Allain, J.M. Travere). Knowledge based image analysis
of agricultural fields in remotely sensed images (N.J. Mulder, F. Luo). A
texture classification experiment for sar radar images (A. Murni, N. Darwis,
M. Mastur, D. Hardianto). Discussions. Probabilistic Reasoning.
Spatio/temporal causal models (J.F. Lemmer). Potentials of Bayesian decision
networks for planning under uncertainty (E.C. van de Stadt). Qualitative
recognition using Bayesian reasoning (J. Liang, H.I. Christensen, F.V.
Jensen). Learning characteristic rules in a target language (R. Bhatnagar).
Discussions. Neural Networks. Why do multilayer perceptrons have favorable
small sample properties? (. Raūdys). Using Boltzmann machines for
probability estimation: a general framework for neural network learning (H.J.
Kappen). Symbolic approximation of feedforward neural networks (I.K. Sethi,
J.H. Yoo). Analytical approaches to the neural net architcture design (W.J.
Christmas, J. Kittler, M. Petrou). An alternative feedforward approach to
neural classification problems (R. Tebbs, T. Windeatt). Contribution analysis
of multi-layer perceptrons. Estimation of the input sources' importance for
the classification (M. Egmont-Petersen, J.L. Talmon, E. Pelikan, F.
Vogelsang). Neural networks - advantages and applications (E. Oja). Relative
effectiveness of neural networks for image noise suppression (D. Greenhill,
E.R. Davies). Discussions. Comparative Studies. An experimental comparison of
neural classifiers with traditional classifiers (W.F. Schmidt, D.F. Levelt,
R.P.W. Duin). Comparative study of techniques for large-scale feature
selection (F.J. Ferri, P. Pudil, M. Hatef, J. Kittler). Neural nets and
classification trees: a comparison in the domain of ECG analysis (J.L.
Talmon, W.R.M. Dassen, V. Karthaus). An empirical study of the performance of
heuristic methods for clustering (S.K. Mishra, V.V. Raghavan). A comparative
study of different classifiers for handprinted character recognition (K.M.
Mohiuddin, J. Mao). A comparison of the randomised Hough transform and a
genetic algorithm for ellipse extraction (S. Procter, J. Illingworth).
Discussions. Hybrid Systems. Relative feature importance: a
classifier-independent approach to feature selection (H.J. Holz, M.H. Loew).
An intelligent planner for multisensory robot vision (X.Y. Jiang, H. Bunke).
Hybrid knowledge bases for real-time robotic reasoning (J. Horst, E. Kent, H.
Rifky, V.S. Subrahmanian). Hybrid systems for contraint-based spatial
reasoning (J.A. Parikh). Detecting novel fault conditions with hidden Markov
models and neural networks (P. Smyth). A handwriting recognition system based
on multiple AI techniques (P.E. Bramall, C.A. Higgins). A hybrid system to
detect hand orientation in stereo images (A. Drees, F. Kummert, E. Littmann,
S. Posch, H. Ritter, G. Sagerer). Discussions. List of Authors. List of
Keywords.
