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|a 9783540379522
|9 978-3-540-37952-2
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|a 10.1007/11829898
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|a Artificial Neural Networks in Pattern Recognition
|h [electronic resource] :
|b Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings /
|c edited by Friedhelm Schwenker, Simone Marinai.
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| 250 |
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|a 1st ed. 2006.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2006.
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|a X, 302 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a text file
|b PDF
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 4087
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| 505 |
0 |
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|a Unsupervised Learning -- Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions -- Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition -- Adaptive Feedback Inhibition Improves Pattern Discrimination Learning -- Semi-supervised Learning -- Supervised Batch Neural Gas -- Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes -- On the Effects of Constraints in Semi-supervised Hierarchical Clustering -- A Study of the Robustness of KNN Classifiers Trained Using Soft Labels -- Supervised Learning -- An Experimental Study on Training Radial Basis Functions by Gradient Descent -- A Local Tangent Space Alignment Based Transductive Classification Algorithm -- Incremental Manifold Learning Via Tangent Space Alignment -- A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware -- Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks -- Support Vector Learning -- Support Vector Regression Using Mahalanobis Kernels -- Incremental Training of Support Vector Machines Using Truncated Hypercones -- Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques -- Multiple Classifier Systems -- Multiple Classifier Systems for Embedded String Patterns -- Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images -- Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory -- Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization -- Visual Object Recognition -- Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks -- Visual Classification of Images by Learning Geometric Appearances Through Boosting -- An Eye Detection System Based on Neural Autoassociators -- Orientation Histograms for Face Recognition -- Data Mining in Bioinformatics -- An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification -- Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data -- Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Pattern recognition systems.
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| 650 |
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|a Application software.
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| 650 |
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|a Computer science.
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| 650 |
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|a Electronic data processing-Management.
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| 650 |
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|a Bioinformatics.
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| 650 |
1 |
4 |
|a Artificial Intelligence.
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| 650 |
2 |
4 |
|a Automated Pattern Recognition.
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| 650 |
2 |
4 |
|a Computer and Information Systems Applications.
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| 650 |
2 |
4 |
|a Theory of Computation.
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| 650 |
2 |
4 |
|a IT Operations.
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| 650 |
2 |
4 |
|a Bioinformatics.
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| 700 |
1 |
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|a Schwenker, Friedhelm.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Marinai, Simone.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783540828280
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783540379515
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| 830 |
|
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 4087
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| 856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/11829898
|z Texto Completo
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-SXCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
|
