Minsky, M.L.[Marvin L.],
Papert, S.,
Perceptrons: An Introduction to Computational Geometry,
MIT PressCambridge, MA, 1969.
Whey they do not work.
BibRef
6900
Minsky, M.L.[Marvin L.],
Selfridge, O.G.,
Learning in Random Nets,
IT60(335).
BibRef
6000
Dewdney, A.K.,
Computer Recreations,
SciAmer(250), Month missing -- 1984, pp. 22-34.
Perceptrons. Discussion of Perceptrons.
BibRef
8400
Linsker, R.,
Self-organization in a perceptual network,
TC(21), 1988, pp. 105-117.
0907
BibRef
Pao, Y.H.,
Neural Net Computing for Pattern Recognition,
HPRCV97(Chapter I:4).
(Case Western Reserve Univ.)
BibRef
9700
Haykin, S.,
Neural Networks: A Comprehensive Introduction,
Prentice Hall1999.
BibRef
9900
Skrzypek, J.,
Karplus, W., (Eds.)
Special Issue-Neural Networks in Vision and Pattern Recognition,
PRAI(6), No. 1, April 1992, pp. 1-208.
BibRef
9204
Bischof, H.[Horst],
Pinz, A.[Axel],
Artificial Versus Real Neural Networks,
BBS(15), No. 4, 1992, pp. 712.
BibRef
9200
Guyun, I.,
Wang, P.S.P., (Eds.)
Special Issue on Advances in Pattern Recognition Using Neural Networks,
PRAI(8), No. 4, August 1993, pp. 645-963.
BibRef
9308
Drucker, H.,
Schapire, R.,
Simard, P.Y.,
Boosting Performance in Neural Networks,
PRAI(7), 1993, pp. 705-719.
BibRef
9300
Musavi, M.T.,
Chan, K.H.,
Hummels, D.M.,
Kalantri, K.,
On The Generalization Ability Of Neural Network Classifiers,
PAMI(16), No. 6, June 1994, pp. 659-663.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9406
Marshall, J.A.,
Adaptive Perceptual Pattern-Recognition by Self-Organizing Neural Networks:
Context, Uncertainty, Multiplicity, and Scale,
NeurNet(8), No. 3, 1995, pp. 335-362.
BibRef
9500
Sethi, I.K.,
Special Section on Artificial Neural Networks for Machine Vision,
MVA(8), No. 5, 1995, pp. 261-261.
HTML Version.
BibRef
9500
Wang, S.S.,
Lin, W.G.,
A New Self-Organizing Neural Model for Invariant Pattern-Recognition,
PR(29), No. 4, April 1996, pp. 677-687.
WWW Version.
BibRef
9604
Heikkonen, J.,
Bulsari, A.,
Special Issue on Neural Networks for Computer Vision Applications,
PRL(17), No. 4, April 4 1996, pp. 317-318.
9605
BibRef
Simes, E.D.,
Uebel, L.F.,
Augusto, D.,
Barone, C.,
Hardware Implementation of RAM Neural Networks,
PRL(17), No. 4, April 4 1996, pp. 421-429.
9605
BibRef
Bertin, E.,
Bischof, H.,
Bertolino, P.,
Voronoi Pyramids Controlled by Hopfield Neural Networks,
CVIU(63), No. 3, May 1996, pp. 462-475.
9606
WWW Version.
BibRef
Earlier: A2, A1, A3:
Voronoi pyramids and Hopfield networks,
ICPR94(C:330-333).
IEEE DOI Link
9410
BibRef
Sethi, I.K.,
Yoo, J.H.,
Symbolic Mapping of Neurons in Feedforward Networks,
PRL(17), No. 10, September 2 1996, pp. 1035-1046.
Connectionist.
BibRef
9609
Chellappa, R.,
Fukushima, K.,
Katsaggelos, B.K.,
Kung, S.Y.,
Le Cun, Y.L.,
Nasrabadi, N.M.,
Poggio, T.A.,
Applications of Artificial Neural Networks to Image Processing,
IP(7), No. 8, August 1998, pp. 1093-1096.
IEEE DOI Link
9808
BibRef
Benediktsson, J.A.,
Sveinsson, J.R.,
Ersoy, O.K.,
Swain, P.H.,
Parallel Consensual Neural Networks,
TNN(8), No. 1, January 1997, pp. 54-64.
9701
BibRef
Mazza, C.,
Neural-Net Inference and Content-Addressable Memory,
TNN(8), No. 1, January 1997, pp. 133-140.
9701
BibRef
Atkinson, P.M.,
Tatnall, A.R.L.,
Neural Networks in Remote Sensing: Introduction,
JRS(18), No. 4, March 10 1997, pp. 699-709.
9703
BibRef
Wang, L.F.,
Cheng, H.D.,
Discretizing Continuous Neural Networks Using a
Polarization Learning Rule,
PR(30), No. 2, February 1997, pp. 253-260.
WWW Version.
9704
BibRef
Willshaw, D.,
Hallam, J.,
Gingell, S.,
Lau, S.L.,
Marr Theory of the Neocortex as a Self-Organizing Neural-Network,
NeurComp(9), No. 4, May 15 1997, pp. 911-936.
9706
BibRef
Abdelwahhab, O.,
Sid-Ahmed, M.A.,
A New Scheme for Training Feedforward Neural Networks,
PR(30), No. 3, March 1997, pp. 519-524.
WWW Version.
9705
BibRef
Pandya, A.S.[Abhijit S.],
Macy, R.B.[Robert B.],
Pattern Recognition with Neural Networks in C++,
CRC PressBoca Raton, FL. 1996.
Code, Neural Networks. ISBN 0-8493-9462-7.
Complete code for the various algorithms.
BibRef
9600
Frasconi, P.,
Gori, M.,
Soda, G.,
Links Between LVQ and Backpropagation,
PRL(18), No. 4, April 1997, pp. 303-310.
9708
BibRef
Hoekstra, A.,
Duin, R.P.W.,
Investigating Redundancy in Feedforward Neural Classifiers,
PRL(18), No. 11-13, November 1997, pp. 1293-1300.
9806
BibRef
de Ridder, D.,
Duin, R.P.W.,
Sammons Mapping Using Neural Networks: A Comparison,
PRL(18), No. 11-13, November 1997, pp. 1307-1316.
9806
See also nonlinear mapping for data structure analysis, A.
BibRef
Yan, H.,
Gupta, M.M.,
Special Section on Neural Networks and Fuzzy Logic for
Imaging Applications,
JEI(6), No. 3, July 1997, pp. 270-271.
9807
BibRef
Wilson, C.L.,
Blue, J.L.,
Omidvar, O.M.,
Neurodynamics of Learning and Network Performance,
JEI(6), No. 3, July 1997, pp. 379-385.
9807
BibRef
Wang, S.D.,
Hsu, T.C.,
Perceptron-Perceptron Net,
PRL(19), No. 7, May 1998, pp. 559-568.
9808
BibRef
Verikas, A.[Antanas],
Lipnickas, A.[Arunas],
Malmqvist, K.[Kerstin],
Bacauskiene, M.[Marija],
Gelzinis, A.[Adas],
Soft combination of neural classifiers: A comparative study,
PRL(20), No. 4, April 1999, pp. 429-444.
BibRef
9904
Signahl, M.[Mikael], and
Verikas, A.[Antanas],
Fuzzy Combination Schemes for Neural Networks,
SCIA97(xx-yy)
9705
HTML Version.
BibRef
Verikas, A.,
Bacauskiene, M.,
Feature selection with neural networks,
PRL(23), No. 11, September 2002, pp. 1323-1335.
HTML Version.
0206
BibRef
Bacauskiene, M.,
Verikas, A.,
Selecting salient features for classification based on neural network
committees,
PRL(25), No. 16, December 2004, pp. 1879-1891.
WWW Version.
0411
BibRef
de Ridder, D.,
Duin, R.P.W.,
Verbeek, P.W.,
van Vliet, L.J.,
The Applicability of Neural Networks to Non-linear Image Processing,
PAA(2), No. 2, 1999, pp. 111-128.
BibRef
9900
de Ridder, D.,
Duin, R.P.W.,
Verbeek, P.W.,
van Vliet, L.J.,
A Weight Set Decorrelating Algorithm for Neural Network Interpretation
and Symmetry Breaking,
SCIA99(Neural Nets).
BibRef
9900
Duin, R.P.W.[Robert P. W.],
de Ridder, D.[Dick],
Neural network experiences between perceptrons and support vectors,
BMVC97(xx-yy).
HTML Version.
0209
BibRef
Kraaijveld, M.A.,
Duin, R.P.W.,
The effective capacity of multilayer feedforward network classifiers,
ICPR94(B:99-103).
IEEE DOI Link
9410
BibRef
Schmidt, W.F.,
Kraaijveld, M.A.,
Duin, R.P.W.,
Feedforward neural networks with random weights,
ICPR92(II:1-4).
IEEE DOI Link
9208
BibRef
Foody, G.M.[Giles M.],
The significance of border training patterns in classification by a
feedforward neural network using back propagation learning,
JRS(20), No. 18, December 1999, pp. 3549.
BibRef
9912
Varoglu, E.,
Hacioglu, K.,
Recurrent neural network speech predictor based on dynamical systems
approach,
VISP(147), No. 2, April 2000, pp. 149.
0005
BibRef
Asari, K.V.[K. Vijayan],
Eswaran, C.,
Bidirectional multiple-valued neural network for pattern recognition
and associative recall,
IJIST(11), No. 2, 2000, pp. 125-129.
0008
BibRef
Wang, B.Y.[Bao-Yun],
He, Z.[Zhenya],
Can the classification capability of network be further improved by
using quadratic sigmoidal neurons?,
PR(33), No. 8, August 2000, pp. 1395-1399.
WWW Version.
0005
BibRef
Hungenahally, S., and
Bhattacharya, P.,
A Computational Approach to the Emulation of
Visual Neural Architectures,
KBES(2), No. 3, 1998, pp. 185-193.
BibRef
9800
Micheli-Tzanakou, E.[Evangelia],
Supervised and Unsupervised Pattern Recognition: Feature Extraction
and Computational Intelligence,
CRC PressJanuary 2000, ISBN 0-8493-2278-2.
Review of current work.
BibRef
0001
Chandra Kumar, P.,
Saratchandran, P.,
Sundararajan, N.,
Minimal radial basis function neural networks for nonlinear channel
equalisation,
VISP(147), No. 5, October 2000, pp. 428-435.
0101
BibRef
Li, M.B.,
Huang, G.B.,
Saratchandran, P.,
Sundararajan, N.,
Complex-valued growing and pruning RBF neural networks for
communication channel equalisation,
VISP(153), No. 4, August 2006, pp. 411-418.
WWW Version.
0705
BibRef
Zhang, G.P.,
Neural networks for classification: a survey,
SMC-C(30), No. 4, November 2000, pp. 451-462.
IEEE Top Reference.
0104
Survey, Neural Networks.
BibRef
Murino, V.,
Vernazza, G.,
Artificial Neural Networks for Image Analysis and Computer Vision,
IVC(19), No. 9-10, August 2001, pp. 583-584.
WWW Version.
0108
Special Issue introduction.
BibRef
Raudys, S.J.[Sarunas J.],
Statistical and Neural Classifiers: An Integrated Approach to Design,
Springer-VerlagNew York, 2001.
ISBN 1-85233-297-2.
BibRef
0100
Egmont-Petersen, M.,
de Ridder, D.,
Handels, H.,
Image processing with neural networks: A Review,
PR(35), No. 10, October 2002, pp. 2279-2301.
WWW Version.
0206
BibRef
Ripley, B.,
Pattern Recognition and Neural Networks,
Cambridge University Press1996.
BibRef
9600
Behnke, S.,
Hierarchical neural networks for image interpretation,
Springer2003, ISBN 3540407227.
PDF Version.
BibRef
0300
Sussner, P.[Peter],
Graņa, M.[Manuel],
Guest Editorial: Special Issue on Morphological Neural Networks,
JMIV(19), No. 2, September 2003, pp. 79-80.
WWW Version.
0308
BibRef
Foresti, G.L.,
Dolso, T.,
An Adaptive High-Order Neural Tree for Pattern Recognition,
SMC-B(34), No. 2, April 2004, pp. 988-996.
IEEE Abstract. IEEE Top Reference.
0404
BibRef
Foresti, G.L.,
Christian, M.,
Snidaro, L.,
Adaptive high order neural trees for pattern recognition,
ICPR02(II: 877-880).
IEEE DOI Link
0211
BibRef
Oh, K.S.[Kyoung-Su],
Jung, K.C.[Kee-Chul],
GPU implementation of neural networks,
PR(37), No. 6, June 2004, pp. 1311-1314.
WWW Version.
0405
Graphics Processing Unit implementation of NN.
BibRef
Besdok, E.[Erkan],
Neurovision with Resilient Neural Networks,
Visual07(438-444).
Springer DOI Link
0706
BibRef
Giraudo, M.T.[Maria Teresa],
Sacerdote, L.[Laura],
Sicco, A.[Alessandro],
Ghost Stochastic Resonance for a Neuron with a Pair of Periodic Inputs,
BVAI07(398-407).
Springer DOI Link
0710
BibRef
Zanetti, B.,
Noriakilde, A.,
Saito, J.H.,
A Framework for Neural Networks Simulation and Visualization:
Neocognitron Case,
ICIP05(III: 485-488).
IEEE DOI Link
0512
BibRef
Banarer, V.[Vladimir],
Perwass, C.[Christian],
Sommer, G.[Gerald],
Design of a Multilayered Feed-Forward Neural Network Using Hypersphere
Neurons,
CAIP03(571-578).
WWW Version.
0311
BibRef
Silvestre, M.R.,
Ling, L.L.[Lee Luan],
Optimization of neural classifiers based on Bayesian decision
boundaries and idle neurons pruning,
ICPR02(III: 387-390).
IEEE DOI Link
0211
BibRef
Li, Y.L.[Yan-Lai],
Wang, K.Q.[Kuan-Quan],
Zhang, D.,
Step acceleration based training algorithm for feedforward neural
networks,
ICPR02(II: 84-87).
IEEE DOI Link
0211
BibRef
Toh, K.A.[Kar-Ann],
Mao, K.Z.,
A global transformation approach to RBF neural network learning,
ICPR02(II: 96-99).
IEEE DOI Link
0211
BibRef
Grim, J.,
Pudil, P.,
Somol, P.,
Boosting in probabilistic neural networks,
ICPR02(II: 136-139).
IEEE DOI Link
0211
BibRef
Cardot, H.,
Lezoray, O.,
Graph of neural networks for pattern recognition,
ICPR02(II: 873-876).
IEEE DOI Link
0211
BibRef
Feiden, D.,
Tetzlaff, R.,
Iterative Annealing: a New Efficient Optimization Method for Cellular
Neural Networks,
ICIP01(I: 549-552).
IEEE Abstract. IEEE Top Reference.
0108
BibRef
di Bona, S.,
Salvetti, O.,
An Efficient Method to Map a Regular Mesh Into a 3d Neural Network,
ICIP01(I: 529-532).
IEEE Abstract. IEEE Top Reference.
0108
BibRef
Guoyin, W.[Wang],
Triple- or Multiple-Valued Logical Rule Generation from Neural Network,
ICPR98(ATP1).
9808
BibRef
Eigenmann, R.,
Nossek, J.A.,
Modification of Hard-Limiting Multilayer Neural Networks for
Confidence Evaluation,
ICDAR97(We-3C)
9708
BibRef
Eigenmann, R.,
Nossek, J.A.,
Constructive and Robust Combination of Perceptrons,
ICPR96(IV: 195-199).
IEEE DOI Link
9608
(Technical Univ. of Munich, D)
BibRef
Lampinen, J.[Jouko], and
Selonen, A.[Arto],
Using Background Knowledge in Multilayer Perceptron Learning,
SCIA97(xx-yy)
9705
HTML Version.
BibRef
Sardo, L.,
Kittler, J.V.[Josef V.],
Model Complexity Validation for PDF Estimation Using Gaussian Mixtures,
ICPR98(Vol I: 195-197).
IEEE DOI Link
9808
BibRef
Earlier:
Minimum Complexity PDF Estimation for Correlated Data,
ICPR96(II: 750-754).
IEEE DOI Link
9608
BibRef
And:
Complexity analysis of RBF networks for Pattern Recognition,
CVPR96(574-579).
IEEE Abstract. IEEE Top Reference.
WWW Version. (Univ. of Surrey, UK)
BibRef
Paik, J.H.[Jong-Hyun],
Cho, S.B.[Sung-Bae],
Lee, K.Y.[Kwan-Yong],
Lee, Y.B.[Yill-Byung],
Multiple Recognizers System Using Two Stage Combinations,
ICPR96(IV: 581-585).
IEEE DOI Link
9608
(Yonsei Univ., KOR)
BibRef
Ritter, G.,
Sussner, P.,
An Introduction to Morphological Neural Networks,
ICPR96(IV: 709-717).
IEEE DOI Link
9608
(Univ. of Florida, USA)
BibRef
Song, H.H.,
Lee, S.W.,
A New Recurrent Neural Network Architecture for Pattern Recognition,
ICPR96(IV: 718-722).
IEEE DOI Link
9608
(Korea Univ., KOR)
BibRef
Kuncheva, L.I.[Ludmila I.],
Hadjitodorov, S.,
An RBF Network with Tunable Function Shape,
ICPR96(IV: 645-649).
IEEE DOI Link
9608
(Imperial College of Science, UK)
BibRef
Bayro-Corrochano, E.,
Buchholz, S.,
Sommer, G.,
A New Self-Organizing Neural Network Using Geometric Algebra,
ICPR96(IV: 555-559).
IEEE DOI Link
9608
(Christian Albrechts Univ., D)
BibRef
Stoyanov, I.,
An Improved Backpropagation Neural Network Learning,
ICPR96(IV: 586-588).
IEEE DOI Link
9608
(Bulgarian Academy of Sciences, BG)
BibRef
Wang, S.,
Zhu, X.,
Jin, Y.,
Multiple Experts Recognition System Based on Neural Network,
ICPR96(IV: 452-456).
IEEE DOI Link
9608
(Tshinghua Univ., PRC)
BibRef
Vriesenga, M.,
Sklansky, J.,
Neural Modeling of Piecewise Linear Classifiers,
ICPR96(IV: 281-285).
IEEE DOI Link
9608
(Univ. of California, Irvine, USA)
BibRef
Holmstroem, L.,
Oja, E.,
Koistinen, P.,
Laaksonen, J.T.,
Neural Network and Statistical Perspectives of Classification,
ICPR96(IV: 286-290).
IEEE DOI Link
9608
(Helsinki Univ. of Technology, SF)
BibRef
Hamamoto, Y.,
Mitani, Y.,
Ishihara, H.,
Hase, T.,
Tomita, S.,
Evaluation of an Anti-Regularization Technique in Neural Networks,
ICPR96(IV: 205-208).
IEEE DOI Link
9608
(Yamaguchi Univ., J)
BibRef
Chen, C.H.,
Jozwik, A.,
On the Small-Sample Behavior of the Class-Sensitive Neural Network,
ICPR96(IV: 209-213).
IEEE DOI Link
9608
(Univ. of Massachusetts, USA)
BibRef
Bachelder, I.A.[Ivan A.],
Gove, A.N.[Alan N.],
Seibert, M.C.[Michael C.], and
Waxman, A.M.[Allen M.],
From Learning Objects to Learning Environments:
Biological and Computational Neural Systems,
ARPA94(II:871-883).
BibRef
9400
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Neural Networks Combinations and Evaluations .