Artificial Neural Networks in Pattern Recognition
Springer Berlin (Verlag)
978-3-540-69938-5 (ISBN)
Unsupervised Learning.- Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets.- The Block Generative Topographic Mapping.- Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs.- Probabilistic Models Based on the ?-Sigmoid Distribution.- How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise.- Supervised Learning.- Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis.- Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network.- Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics.- Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four.- Cyclostationary Neural Networks for Air Pollutant Concentration Prediction.- Fuzzy Evolutionary Probabilistic Neural Networks.- Experiments with Supervised Fuzzy LVQ.- A Neural Network Approach to Similarity Learning.- Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes.- Multiple Classifiers.- Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics.- Decision Fusion on Boosting Ensembles.- The Mixture of Neural Networks as Ensemble Combiner.- Combining Methods for Dynamic Multiple Classifier Systems.- Researching on Multi-net Systems Based on Stacked Generalization.- Applications.- Real-Time Emotion Recognition from Speech Using Echo State Networks.- Sentence Understanding and Learning of New Words with Large-Scale Neural Networks.- Multi-class Vehicle Type Recognition System.- A Bio-inspired Neural Model for Colour Image Segmentation.- Mining Software Aging Patterns by Artificial Neural Networks.- Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy.- Feature Selection.- Feature Ranking Ensembles for Facial Action Unit Classification.- Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration.- Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition.- Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint.
Erscheint lt. Verlag | 25.6.2008 |
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Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | IX, 322 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 516 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Schlagworte | Artificial Neural Networks • attribute dependence modeling • bayesian classifiers • Bioinformatics • bio-inspired computation • biometrics • Clustering • Computational Intelligence • Data Mining • dimensionality reduction • dynamic classification • face recognition • fingerprint identification • Genetic algorithms • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • Image Analysis • image classification • Image Segmentation • knowledge management • machine learning • Multiple Classifier Systems • neural network • Object recognition • Pattern classification • pattern recognition • Self-Organizing Maps • Semi-Supervised Learning • software aging • supervised learning • Support Vector Machines • Unsupervised Learning |
ISBN-10 | 3-540-69938-4 / 3540699384 |
ISBN-13 | 978-3-540-69938-5 / 9783540699385 |
Zustand | Neuware |
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