14.5.5.3 Neural Networks for Classification and Pattern Recognition

Caianiello, E.R., Grimson, W.E.L.,
Methods of Analysis of Neural Nets,
BioCyber(22), 1976, pp. 1-6. BibRef 7600

Caianiello, E.R., Grimson, W.E.L.,
Synthesis of Boolean Nets and Time Behavior of a General Mathematical Neuron,
BioCyber(18), 1975, pp. 111-117. BibRef 7500

Takiyama, R.[Ryuzo],
Multiple threshold perceptron,
PR(10), No. 1, 1978, pp. 27-30.
WWW Version. 0309 BibRef

Fukushima, K.[Kunihiko], Miyake, S.[Sei],
Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position,
PR(15), No. 6, 1982, pp. 455-469.
WWW Version. 0309This algorithm can be realized with a multilayered network consisting of neuron-like cells. BibRef

Wu, C.H.[Chung-Hsien], Wang, J.F.[Jhing-Fa], Wu, W.H.[Wen-Horng],
A shunting multilayer perceptron network for confusing/composite pattern recognition,
PR(24), No. 11, 1991, pp. 1093-1103.
WWW Version. 0401 BibRef

Hassoun, M.H., and Song, J.,
Adaptive Ho-Kashyap Rules for Perceptron Training,
TNN(3), No. 1, 1992, pp. 51-61. See also Algorithm for Linear Inequalities and its Applications, An. BibRef 9200

Widrow, B., and Winter, R.,
Neural Nets for Adaptive Filtering and Adaptive Pattern Recognition,
Computer(21), No. 3, March 1988, pp. 25-39. BibRef 8803

Fukushima, K.,
A Neural Network for Visual Pattern Recognition,
Computer(21), No. 3, March 1988, pp. 65-75. BibRef 8803

Tsao, E.C.K.[Eric Chen-Kuo], Lin, W.C.[Wei-Chung], Chen, C.T.[Chin-Tu],
Constraint satisfaction neural networks for image recognition,
PR(26), No. 4, April 1993, pp. 553-567.
WWW Version. 0401 BibRef
Earlier: A2, A1, A3:
Constraint Satisfaction Neural Networks for Image Segmentation,
PR(25), No. 7, July 1992, pp. 679-693.
WWW Version. BibRef

Bilbro, G.L., Snyder, W.E., Garnier, S.J., Gault, J.W.,
Mean Field Annealing: A Formalism for Constructing GNC-Like Algorithms,
TNN(3), No. 1, January 1992, pp. xx. BibRef 9201

Gupta, L.[Lalit], Wang, J.S.[Jie-Sheng], Charles, A.[Alain], Kisatsky, P.[Paul],
Prototype selection rules for neural network training,
PR(25), No. 11, November 1992, pp. 1401-1408.
WWW Version. 0401 BibRef

Shih, F.Y.[Frank Y.], Moh, J.[Jenlong], Chang, F.C.[Fu-Chun],
A new art-based neural architecture for pattern classification and image enhancement without prior knowledge,
PR(25), No. 5, May 1992, pp. 533-542.
WWW Version. 0401 BibRef

Chou, W.S.[Wen-Shou], Chen, Y.C.[Yung-Chang],
A new fast algorithm for effective training of neural classifiers,
PR(25), No. 4, April 1992, pp. 423-429.
WWW Version. 0401 BibRef

Yeung, D.Y.[Dit-Yan],
Constructive neural networks as estimators of bayesian discriminant functions,
PR(26), No. 1, January 1993, pp. 189-204.
WWW Version. 0401 BibRef

Kim, H.J., Yang, H.S.,
A Neural-Network Capable of Learning and Inference for Visual-Pattern Recognition,
PR(27), No. 10, October 1994, pp. 1291-1302.
WWW Version. BibRef 9410

Pham, D.T., Bayro-Corrochano, E.J.,
Self-organizing neural-network-based pattern clustering method with fuzzy outputs,
PR(27), No. 8, August 1994, pp. 1103-1110.
WWW Version. 0401 BibRef

Abou-nasr, M.A., Sid-Ahmed, M.A.,
Fast learning and efficient memory utilization with a prototype based neural classifier,
PR(28), No. 4, April 1995, pp. 581-593.
WWW Version. 0401 BibRef

Moh, J.[Jenlong], Shih, F.Y.[Frank Y.],
A general purpose model for image operations based on multilayer perceptrons,
PR(28), No. 7, July 1995, pp. 1083-1090.
WWW Version. 0401 BibRef

Wang, L.P.[Li-Po], Alkon, D.L.[Daniel L.],
An artificial neural network system for temporal-spatial sequence processing,
PR(28), No. 8, August 1995, pp. 1267-1276.
WWW Version. 0401 BibRef

Tumer, K.[Kagan], Ghosh, J.[Joydeep],
Analysis of decision boundaries in linearly combined neural classifiers,
PR(29), No. 2, February 1996, pp. 341-348.
WWW Version. 0401 BibRef

Ravichandran, A., Yegnanarayana, B.,
Studies on Object Recognition from Degraded Images Using Neural Networks,
NeurNet(8), No. 3, 1995, pp. 481-488. BibRef 9500

Graf, H.P., Nohl, C.R., Ben, J.,
Image Recognition with an Analog Neural-Net Chip,
MVA(8), No. 2, 1995, pp. 131-140. BibRef 9500
Earlier: ICPR92(IV:11-14).
WWW Version. 9208 BibRef

Lin, W.G., Wang, S.S.,
A Modified S-Neuron and Its Application to Scale-Invariant Classification,
PR(28), No. 9, September 1995, pp. 1423-1432.
WWW Version. BibRef 9509

Gazula, S.[Srinivas], Kabuka, M.R.[Mansur R.],
Design of Supervised Classifiers Using Boolean Neural Networks,
PAMI(17), No. 12, December 1995, pp. 1239-1246.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9512
And:
Reply to: Comments on 'Design of Supervised Classifiers Using Boolean Neural Networks',
PAMI(21), No. 9, September 1999, pp. 957-958.
IEEE Abstract. IEEE Top Reference.
WWW Version. See also Comments on Design of Supervised Classifiers Using Boolean Neural Networks. BibRef

Hussain, B., Kabuka, M.R.,
A novel feature recognition neural network and its application to character recognition,
PAMI(16), No. 1, January 1994, pp. 98-106.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0401 BibRef

Smith, G.,
Comments on 'Design of Supervised Classifiers Using Boolean Neural Networks',
PAMI(21), No. 9, September 1999, pp. 956.
IEEE Abstract. IEEE Top Reference.
WWW Version. See also Design of Supervised Classifiers Using Boolean Neural Networks. BibRef 9909

Ishii, S., Fukumizu, K., and Watanabe, S.,
A net work of chaotic elements for information processing,
NeurNet(9), No. 1, 1996, pp. 25-40.
WWW Version. BibRef 9600

Cheng, K.S.[Kuo-Sheng], Lin, J.S.[Jzau-Sheng], Mao, C.W.[Chi-Wu],
The Application of Competitive Hopfield Neural Network to Medical Image Segmentation,
MedImg(15), No. 4, August 1996, pp. 560-567.
IEEE Top Reference. 0203 BibRef

Ziemke, T.,
Radar Image Segmentation Using Recurrent Artificial Neural Networks,
PRL(17), No. 4, April 4 1996, pp. 319-334. 9605 BibRef

Grimes, C., Picton, P.D., Elliman, D.G.,
A Neural-Network Position-Independent Multiple Pattern Recogniser,
AIEng(10), No. 2, 1996, pp. 117-126. BibRef 9600

Elliman, D.G.[David G.], Youssef, S.M.[Sherin M.],
Contextual Swarm-Based Multi-layered Lattices: A New Architecture for Contextual Pattern Recognition,
DAS04(496-507).
WWW Version. 0505 BibRef

di Zenzo, S.[Silvano],
Pattern recognition of collections,
IVC(1), No. 2, May 1983, pp. 93-97.
WWW Version. 0401 BibRef

di Zenzo, S., Burgess, N., Ferragina, P., Granieri, M.N.,
Recognition by Constructive Neural Algorithms,
PRL(14), No. 12, December 1993, pp. 997-1007. BibRef 9312

Burgess, N., Granieri, M.N.,
A growing network classifier of 3D objects using multiple views,
ICPR92(II:512-515).
WWW Version. 9208 BibRef

Ridella, S., Rovetta, S., Zunino, R.,
Circular Backpropagation Networks for Classification,
TNN(8), No. 1, January 1997, pp. 84-97. 9701 BibRef

Kanaoka, T., Chellappa, R., Yoshitaka, M., Tomita, S.,
A Higher-Order Neural Network for Distortion Invariant Pattern Recognition,
PRL(13), 1992, pp. 837-841. BibRef 9200

Kaita, T.[Takeshi], Tomita, S.[Shingo], Yamanaka, J.[Junkichi],
On a Higher-Order Neural Network for Distortion Invariant Pattern Recognition,
PRL(23), No. 8, June 2002, pp. 977-984.
HTML Version. 0204 BibRef

Osman, H., Fahmy, M.M.,
On The Discriminatory Power Of Adaptive Feedforward Layered Networks,
PAMI(16), No. 8, August 1994, pp. 837-842.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9408

Osman, H., Fahmy, M.M.,
Neural Classifiers and Statistical Pattern-Recognition: Applications for Currently Established Links,
SMC-B(27), No. 3, June 1997, pp. 488-497.
IEEE Top Reference. 9706 BibRef

Hsu, T.C., Wang, S.D.,
The K1-Map Reduction for Pattern Classifications,
PAMI(19), No. 6, June 1997, pp. 616-622.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9708An approach for Restricted Coulomb Energy (RCE) networks to determine the number of clusters or network centers. BibRef

Banarse, D.S., Duller, A.W.G.,
Deformation Invariant Visual Object Recognition: Experiments with a Self-Organizing Neural Architecture,
NeurCompApp(6), No. 2, 1997, pp. 79-90. 9801 BibRef

Ray, K.S., Ghoshal, J.,
Neuro Fuzzy Approach to Pattern-Recognition,
NeurNet(10), No. 1, January 1997, pp. 161-182. 9702 BibRef

Ornes, C., Sklansky, J.,
A Neural-Network That Visualizes What It Classifies,
PRL(18), No. 11-13, November 1997, pp. 1301-1306. 9806 BibRef

Ornes, C., Sklansky, J.,
A Visual Neural Classifier,
SMC-B(28), No. 4, August 1998, pp. 620-625.
IEEE Top Reference. 9808 BibRef

Ornes, C.[Chester], Sklansky, J.[Jack], Disher, A.[Anthony],
A Visual Neural Network that Learns Perceptual Relationships,
ICPR98(Vol I: 873-875).
WWW Version. 9808 BibRef

Auda, G., Kamel, M.,
CMNN: Cooperative Modular Neural Networks for Pattern Recognition,
PRL(18), No. 11-13, November 1997, pp. 1391-1398. 9806 BibRef

Murino, V.,
Structured Neural Networks for Pattern Recognition,
SMC-B(28), No. 4, August 1998, pp. 553-561.
IEEE Top Reference. 9808 BibRef

Lu, Z.K., Chi, Z.R., Siu, W.C.,
Length Estimation of Digit Strings Using a Neural Network with Structure Based Features,
JEI(7), No. 1, January 1998, pp. 79-85. 9807 BibRef

Chen, C.W., Chen, L.L.,
Cellular Neural Network Architecture for Gibbs Random Field Based Image Segmentation,
JEI(7), No. 1, January 1998, pp. 45-51. 9807 BibRef

Chen, C.W., Chen, L.L., Luo, J.B.,
A Cellular Neural Network for Clustering-Based Adaptive Quantization in Subband Video Compression,
CirSysVideo(6), No. 6, December 1996, pp. 688-692.
IEEE Top Reference. 9701 BibRef

Aizenberg, I.N.,
Processing of Noisy and Small Detailed Gray Scale Images Using Cellular Neural Networks,
JEI(6), No. 3, July 1997, pp. 272-285. 9807 BibRef

Aldrich, C.,
Visualization of Transformed Multivariate Data Sets with Autoassociative Neural Networks,
PRL(19), No. 8, June 1998, pp. 749-764. 9808 BibRef

Lin, C.C.[Che-Chern], El-Jaroudi, A.[Amro],
An Algorithm to Determine the Feasibilities and Weights of Two-Layer Perceptrons for Partitioning and Classification,
PR(31), No. 11, November 1998, pp. 1613-1625.
WWW Version. BibRef 9811

Zhou, W.,
Verification of the Nonparametric Characteristics of Backpropagation Neural Networks for Image Classification,
GeoRS(37), No. 2, March 1999, pp. 771.
IEEE Top Reference. BibRef 9903

Carozza, M.[Menita], Rampone, S.[Salvatore],
Function approximation from noisy data by an incremental RBF network,
PR(32), No. 12, December 1999, pp. 2081-2083.
WWW Version. BibRef 9912

Carozza, M.[Menita], Rampone, S.[Salvatore],
An incremental multivariate regression method for function approximation from noisy data,
PR(34), No. 3, March 2001, pp. 695-702.
WWW Version. 0101 BibRef

Li, X.L.[Xiao-Lin], Parizeau, M.[Marc], Plamondon, R.[Rejean],
Training Hidden Markov Models with Multiple Observations: A Combinatorial Method,
PAMI(22), No. 4, April 2000, pp. 371-377.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0006 BibRef

Lin, C.T., Lee, Y.C., Pu, H.C.,
Satellite Sensor Image Classification Using Cascaded Architecture of Neural Fuzzy Network,
GeoRS(38), No. 2, March 2000, pp. 1033-1043.
IEEE Top Reference. 0004 BibRef

Simpson, J.J., McIntire, T.J., Sienko, M.,
An Improved Hybrid Clustering Algorithm for Natural Scenes,
GeoRS(38), No. 2, March 2000, pp. 1016-1032.
IEEE Top Reference. 0004 BibRef

Gupta, L.[Lalit], McAvoy, M.[Mark], Phegley, J.[James],
Classification of temporal sequences via prediction using the simple recurrent neural network,
PR(33), No. 10, October 2000, pp. 1759-1770.
WWW Version. 0006 BibRef

Rughooputh, H.C.S., Rughooputh, S.D.D.V.,
Spectral recognition using a modified Eckhorn neural network model,
IVC(18), No. 14, November 2000, pp. 1101-1103.
WWW Version. 0101 BibRef

Lin, J.S.[Jzau-Sheng],
Annealed chaotic neural network with nonlinear self-feedback and its application to clustering problem,
PR(34), No. 5, May 2001, pp. 1093-1104.
WWW Version. 0102 BibRef

Go, J.[Jinwook], Han, G.[Gunhee], Kim, H.[Hagbae], Lee, C.[Chulhee],
Multigradient: a new neural network learning algorithm for pattern classification,
GeoRS(39), No. 5, May 2001, pp. 986-993.
IEEE Top Reference. 0106 BibRef

Suganthan, P.N.,
Pattern classification using multiple hierarchical overlapped self-organising maps,
PR(34), No. 11, November 2001, pp. 2173-2179.
WWW Version. 0108 BibRef

Laha, A., Pal, N.R.,
Some novel classifiers designed using prototypes extracted by a new scheme based on self-organizing feature map,
SMC-B(31), No. 6, December 2001, pp. 881-890.
IEEE Top Reference. 0201 See also Design of Vector Quantizer for Image Compression Using Self-Organizing Feature Map and Surface Fitting. BibRef

Iyatomi, H.[Hitoshi], Hagiwara, M.[Masafumi],
Scenery image recognition and interpretation using fuzzy inference neural networks,
PR(35), No. 8, August 2002, pp. 1793-1806.
WWW Version. 0206 BibRef

Iyatomi, H.[Hitoshi], Hagiwara, M.[Masafumi],
Adaptive fuzzy inference neural network,
PR(37), No. 10, October 2004, pp. 2049-2057.
WWW Version. 0409Initial rule, selection of important elements, identification of the network structure, parameter estimation. BibRef

Augusteijn, M.F., Folkert, B.A.,
Neural network classification and novelty detection,
JRS(23), No. 14, July 2002, pp. 2891-2902. 0208 BibRef

Gallagher, M., Downs, T.,
Visualization of learning in multilayer perceptron networks using principal component analysis,
SMC-B(33), No. 1, February 2003, pp. 28-34.
IEEE Top Reference. 0301 BibRef

Lin, J.S.[Jzau-Sheng], Liu, S.H.[Shao-Han],
Classification of multispectral images based on a fuzzy-possibilistic neural network,
SMC-C(32), No. 4, November 2002, pp. 499-506.
IEEE Top Reference. 0301 BibRef

Jiang, X.D.[Xu-Dong], Wah, A.H.K.S.[Alvin Harvey Kam Siew],
Constructing and training feed-forward neural networks for pattern classification,
PR(36), No. 4, April 2003, pp. 853-867.
WWW Version. 0304 BibRef

Raudys, A.,
Boosting neural network feature extraction by reduced accuracy activation functions,
PR(36), No. 6, June 2003, pp. 1343-1354.
WWW Version. 0304 BibRef

Venkatesh, Y.V., Raja, S.K.[S. Kumar],
On the classification of multispectral satellite images using the multilayer perceptron,
PR(36), No. 9, September 2003, pp. 2161-2175.
WWW Version. 0307 BibRef

Porter, R.B.[Reid B.], Harvey, N.R.[Neal R.], Perkins, S.[Simon], Theiler, J.[James], Brumby, S.P.[Steven P.], Bloch, J.J.[Jeffrey J.], Gokhale, M.[Maya], Szymanski, J.J.[John J.],
Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification,
JMIV(19), No. 2, September 2003, pp. 133-150.
WWW Version. 0308 BibRef

Park, S.B.[Soo Beom], Lee, J.W.[Jae Won], Kim, S.K.[Sang Kyoon],
Content-based image classification using a neural network,
PRL(25), No. 3, February 2004, pp. 287-300.
WWW Version. 0401 BibRef

Han, M.[Min], Xi, J.H.[Jian-Hui],
Efficient clustering of radial basis perceptron neural network for pattern recognition,
PR(37), No. 10, October 2004, pp. 2059-2067.
WWW Version. 0409 BibRef

Alaiz-Rodríguez, R.[Rocío], Guerrero-Curieses, A.[Alicia], Cid-Sueiro, J.[Jesús],
Minimax classifiers based on neural networks,
PR(38), No. 1, January 2005, pp. 29-39.
WWW Version. 0410 BibRef

Sanz, P.J., Marin, R., Sanchez, J.S.,
Including efficient object recognition capabilities in online robots: from a statistical to a Neural-network classifier,
SMC-C(35), No. 1, February 2005, pp. 87-96.
IEEE Abstract. IEEE Top Reference. 0501 BibRef

Lim, C.P.[Chee-Peng], Leong, J.H.[Jenn-Hwai], Kuan, M.M.[Mei-Ming],
A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features,
PAMI(27), No. 4, April 2005, pp. 648-653.
IEEE Abstract. IEEE Top Reference. 0501Classification with incomplete data. BibRef

Artyomov, E.[Evgeny], Yadid-Pecht, O.[Orly],
Modified high-order neural network for invariant pattern recognition,
PRL(26), No. 6, 1 May 2005, pp. 843-851.
WWW Version. 0501 BibRef

Yadid-Pecht, O., Gur, M.,
A simple 'possibilistic' clustering neural network,
ICPR94(B:520-521).
WWW Version. 9410 BibRef

Spratling, M.W.[Michael W.],
Learning Viewpoint Invariant Perceptual Representations from Cluttered Images,
PAMI(27), No. 5, May 2005, pp. 753-761.
IEEE Abstract. IEEE Top Reference. 0501Neural network application. Learn simple patterns in all orientations. BibRef

Qin, A.K., Suganthan, P.N.,
Enhanced neural gas network for prototype-based clustering,
PR(38), No. 8, August 2005, pp. 1275-1288.
WWW Version. 0505 Code, Neural Networks. BibRef
Earlier:
Kernel neural gas algorithms with application to cluster analysis,
ICPR04(IV: 617-620).
WWW Version. 0409Code available:
WWW Version. BibRef

Delgado, M., Pegalajar, M.C.,
A multiobjective genetic algorithm for obtaining the optimal size of a recurrent neural network for grammatical inference,
PR(38), No. 9, September 2005, 1444-1456.
WWW Version. 0506 BibRef

Chi, H.M.[Hoi-Ming], Ersoy, O.K.,
A statistical self-organizing learning system for remote sensing classification,
GeoRS(43), No. 8, August 2005, pp. 1890-1900.
WWW Version. 0508 BibRef

Zhang, H., Huang, W., Huang, Z., Zhang, B.,
A Kernel Autoassociator Approach to Pattern Classification,
SMC-B(35), No. 3, June 2005, pp. 593-606.
WWW Version. 0508 BibRef

Perez, C.A., Gonzalez, G.D., Medina, L.E., Galdames, F.J.,
Linear Versus Nonlinear Neural Modeling for 2-D Pattern Recognition,
SMC-A(35), No. 6, November 2005, pp. 955-964.
WWW Version. 0510 BibRef

Cang, S., Yu, H.,
Novel probabilty neural network,
VISP(152), No. 5, October 2005, pp. 535-544.
WWW Version. 0512 BibRef

Ng, W.W.Y.[Wing W.Y.], Dorado, A.[Andres], Yeung, D.S.[Daniel S.], Pedrycz, W.[Witold], and Izquierdo, E.[Ebroul],
Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error,
PR(40), No. 1, January 2007, pp. 19-32.
WWW Version. 0611Image classification; Radial basis functions neural networks; MPEG-7; Support vector machines; Generalization error BibRef

Chandramouli, K., Izquierdo, E.,
Image Classification using Chaotic Particle Swarm Optimization,
ICIP06(3001-3004). 0610
WWW Version. BibRef

Chung, F.L., Wang, S., Deng, Z., Hu, D.,
CATSMLP: Toward a Robust and Interpretable Multilayer Perceptron With Sigmoid Activation Functions,
SMC-B(36), No. 6, December 2006, pp. 1319-1331.
WWW Version. 0701 BibRef

Del Frate, F.[Fabio], Pacifici, F.[Fabio], Schiavon, G.[Giovanni], Solimini, C.[Chiara],
Use of Neural Networks for Automatic Classification From High-Resolution Images,
GeoRS(45), No. 4, April 2007, pp. 800-809.
WWW Version. 0704 BibRef

Meher, S.K.[Saroj K.], Uma Shankar, B., Ghosh, A.[Ashish],
Wavelet-Feature-Based Classifiers for Multispectral Remote-Sensing Images,
GeoRS(45), No. 6, June 2007, pp. 1881-1886.
WWW Version. 0706 BibRef

Shankar, B.U.[B. Uma], Meher, S.K.[Saroj K.], Ghosh, A.[Ashish], Bruzzone, L.[Lorenzo],
Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach,
ICCVGIP06(128-139).
WWW Version. 0612 BibRef

Moreno-Escobar, J.A.[José A.], Gallegos-Funes, F.J.[Francisco J.], Ponomaryov, V.I.[Volodymyr I.],
Median M-Type Radial Basis Function Neural Network,
CIARP07(525-533).
WWW Version. 0711 BibRef

García, A.[Antonio], León, C.[Carlos], Monedero, I.[Iñigo], Ropero, J.[Jorge],
A Precise Electrical Disturbance Generator for Neural Network Training with Real Level Output,
CIARP07(534-545).
WWW Version. 0711 BibRef

Canales, F.[Fernando], Chacón, M.[Max],
Modification of the Growing Neural Gas Algorithm for Cluster Analysis,
CIARP07(684-693).
WWW Version. 0711 BibRef

Siebel, N.T.[Nils T.], Krause, J.[Jochen], Sommer, G.[Gerald],
Efficient Learning of Neural Networks with Evolutionary Algorithms,
DAGM07(466-475).
WWW Version. 0709 BibRef

Stanojevic, M.[Mladen], Vraneš, S.[Sanja],
Applying Neural Networks to Knowledge Representation and Determination of Its Meaning,
BVAI07(523-532).
WWW Version. 0710 BibRef

di Garbo, A.[Angelo], Barbi, M.[Michele], Chillemi, S.[Santi],
Coincidence Detector Properties of Small Networks of Interneurons,
BVAI07(408-417).
WWW Version. 0710 BibRef

Domijan, D.[Dražen], Šetic, M.[Mia],
Computing the Maximum Using Presynaptic Inhibition with Glutamate Receptors,
BVAI07(418-427).
WWW Version. 0710 BibRef

Pazienti, A.[Antonio], Diesmann, M.[Markus], Grün, S.[Sonja],
Bounds of the Ability to Destroy Precise Coincidences by Spike Dithering,
BVAI07(428-437).
WWW Version. 0710 BibRef

Oberhoff, D.[Daniel], Kolesnik, M.[Marina],
Neural Object Recognition by Hierarchical Learning and Extraction of Essential Shapes,
BVAI07(288-297).
WWW Version. 0710 BibRef

Kumar, N.[Niraj], Agrawal, A.[Anupam],
Nonparametric Neural Network Model Based on Rough-Fuzzy Membership Function for Classification of Remotely Sensed Images,
ICCVGIP06(106-117).
WWW Version. 0612 BibRef

Wysoski, S.G.[Simei Gomes], Benuskova, L.[Lubica], Kasabov, N.[Nikola],
Adaptive Learning Procedure for a Network of Spiking Neurons and Visual Pattern Recognition,
ACIVS06(1133-1142).
WWW Version. 0609 BibRef

Nandedkar, A.V., Biswas, P.K.,
Object Recognition Using Reflex Fuzzy Min-Max Neural Network with Floating Neurons,
ICCVGIP06(597-609).
WWW Version. 0612 BibRef
Earlier:
A Reflex Fuzzy Min Max Neural Network for Granular Data Classification,
ICPR06(II: 650-653).
WWW Version. 0609 BibRef
Earlier:
A fuzzy min-max neural network classifier with compensatory neuron architecture,
ICPR04(IV: 553-556).
WWW Version. 0409 BibRef

Bianchini, M.[Monica], Maggini, M.[Marco], Sarti, L.[Lorenzo],
Object Localization Using Input/Output Recursive Neural Networks,
ICPR06(III: 95-98).
WWW Version. 0609 BibRef
And:
Object Recognition Using Multiresolution Trees,
SSPR06(331-339).
WWW Version. 0608 BibRef

Nieuwenhuis, C.[Claudia], Yan, M.[Michelle],
Knowledge Based Image Enhancement Using Neural Networks,
ICPR06(III: 814-817).
WWW Version. 0609 BibRef

Zhang, Q.[Qiang], Liu, W.B.[Wen-Bing], Wei, X.P.[Xiao-Peng], Xu, J.[Jin],
Globally Exponential Stability of Non-autonomous Delayed Neural Networks,
IbPRIA05(II:91).
WWW Version. 0509 BibRef

Cantador, I.[Iván], Dorronsoro, J.R.[José R.],
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning,
IbPRIA05(II:43).
WWW Version. 0509 BibRef

Hauger, S., Windeatt, T.,
ECOC and boosting with multi-layer perceptrons,
ICPR04(III: 458-461).
WWW Version. 0409 BibRef

Kuzmenko, A., Zagoruyko, N.,
Structure relaxation method for self-organizing neural networks,
ICPR04(IV: 589-592).
WWW Version. 0409 BibRef

Chen, J.[Jinmiao], Chaudhari, N.S.,
Improvement of bidirectional recurrent neural network for learning long-term dependencies,
ICPR04(IV: 593-596).
WWW Version. 0409 BibRef

Ou, G.[Guobin], Murphey, Y.L.[Yi Lu],
Multi-class pattern classification using neural networks,
PR(40), No. 1, January 2007, pp. 4-18.
WWW Version. 0611 BibRef
Earlier: Add A3: Feldkamp, L.[Lee], ICPR04(IV: 585-588).
WWW Version. 0409Machine learning; Multi-class classification; Neural networks BibRef

Murphey, Y.L.[Yi Lu], Luo, Y.[Yun],
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ICPR02(II: 220-223).
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Wehrmann, F.[Felix], Bengtsson, E.[Ewert],
Modelling Non-linearities in Images Using an Auto-associative Neural Network,
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Toh, K.A.[Kar-Ann], Lu, J.[Juwei], Yau, W.Y.[Wei-Yun],
Global Feedforward Neural Network Learning for Classification and Regression,
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Messer, K., Kittler, J.V.,
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Heidemann, G., Lücke, D., Ritter, H.,
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Sugiyama, M., Ogawa, H.,
Exact Incremental Projection Learning in the Presence of Noise,
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Morita, S.[Satoru],
Learning Behavior Using Multiresolution Recurrent Neural Network,
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Jahn, H.[Herbert],
Feature Grouping Based on Graphs and Neural Networks,
CAIP99(568-577).
WWW Version. 9909 BibRef

Shimodaira, H.[Hiroshi], Keeni, K.[Kanad], Nakayama, K.[Kenji],
Automatic Generation of Initial Weights and Estimation of Hidden Units for Pattern Classification Using Neural Networks,
ICPR98(Vol II: 1568-1571).
WWW Version. 9808 BibRef

Chen, Z.Y., Desai, M.D., and Zhang, X.,
Feedforward Neural Networks with Multilevel Hidden Neurons for Remotely Sensed Image Classification,
ICIP97(II: 653-656).
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Zong, X., Meyer-Baese, A., and Laine, A.,
Multiscale Segmentation Through a Radial Basis Neural Network,
ICIP97(III: 400-403).
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Gorodnichy, D.O.[Dmitry O.], Reznik, A.M.[Alexandre M.],
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Timchenko, L.I.[Leonid I.], Kutaev, Y.F.[Yuri F.], Grudin, M.A.[Maxim A.], Chepornyuk, S.V.[Serge V.], Harvey, D.M.[David M.], Gertsiy, A.A.[Alexander A.],
A brain-like approach to multistage hierarchical image processing,
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Kröner, S.[Sabine],
A structured neural network invariant to cyclic shifts and rotations,
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Foltyniewicz, R.[Rafal],
Efficient high order neural network for rotation, translation and distance invariant recognition of gray scale images,
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Aizenberg, N., Aizenberg, I.N., Krivosheev, G.,
Multi-Valued and Universal Binary Neurons: Mathematical Model, Learning, Networks, Application to Image Processing and Pattern Recognition,
ICPR96(IV: 185-189).
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Michaelis, B., Schnelting, O., Seiffert, U., Mecke, R.,
Adaptive Filtering of Distorted Displacement Vector Fields Using Artificial Neural Networks,
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Michaelis, B.[Bernd], Krell, G.[Gerald],
Artificial neural networks for image improvement,
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Pereira, M.S., Manolakos, E.S.,
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ICIP96(I: 261-264).
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Petkov, N.[Nikolay],
Use of cortical filters and neural networks in a self-organising image classification system,
CIAP95(165-170).
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Lin, S.H.[Shang-Hung], Kung, S.Y.,
Probabilistic DBNN via expectation-maximization with multi-sensor classification applications,
ICIP95(III: 236-239).
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Chan, Y., Kung, S.Y.,
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Dunstone, E.S.,
Image processing using an image approximation neural network,
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Miyauchi, A., Watanabe, A., Miyauchi, M.,
A method to interpret 3D motion using neural networks,
ICIP94(III: 83-87).
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Biriukov, S.A.,
Spurious states detection and basin describing in feedforward neural networks,
ICPR94(B:586-588).
WWW Version. 9410 BibRef

Mascarilla, L., Zahzah, E.H., Desachy, J.,
Neural networks classifiers based on geocoded data and multispectral images for satellite image interpretation,
CAIP93(830-837).
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Pan, H.P., Forstner, W.,
An MDL-principled evolutionary mechanism to automatic architecturing of pattern recognition neural network,
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Nedeljkovic, V.,
A novel multilayer neural networks training algorithm that minimizes the probability of classification error,
ICPR92(II:13-16).
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Roy, A.,
On linear programming, neural network design, pattern classification and polynomial time training,
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WWW Version. 9208 BibRef

Cheng, X.S., Backer, E., Gerbrands, J.J.,
DRBP: dynamically reinforced BP-based ANN-training,
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WWW Version. 9208 BibRef

Tambouratzis, G.[George], Stonham, T.J.,
A logical neural network that adapts to changes in the pattern environment,
ICPR92(II:46-49).
WWW Version. 9208 BibRef

Gas, B., Natowicz, R.,
A model of formal neural networks for unsupervised learning of binary temporal sequences,
ICPR92(II:541-544).
WWW Version. 9208 BibRef

Singer, Y., Yair, E.,
Learning class probabilities from labeled data,
ICPR92(II:553-556).
WWW Version. 9208 BibRef

Kamata, S.I., Niimi, M., Kawaguchi, E.,
A multi-temporal classification of multi-spectral images using a neural network,
ICPR94(B:470-472).
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Kamata, S.I., Eason, R.O., Perez, A., Kawaguchi, E.,
A neural network classifier for LANDSAT image data,
ICPR92(II:573-576).
WWW Version. 9208 BibRef

Kamada, H.[Hiroshi],
A proposal for an artificial neural network that optimizes reference vectors: FMNET,
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Patrikar, A.,
Dual networks and their pattern classification properties,
CVPR91(686-687).
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Neural Networks for Shapes and Complex Features .