Artificial Neural Networks in Pattern Recognition - Info and Reading Options
Third IAPR TC3 Workshop, ANNPR 2008 Paris, France, July 2-4, 2008, Proceedings
By Friedhelm Schwenker and Simone Marinai
"Artificial Neural Networks in Pattern Recognition" was published by Springer London, Limited in 2008 - Berlin Heidelberg and the language of the book is English.
“Artificial Neural Networks in Pattern Recognition” Metadata:
- Title: ➤ Artificial Neural Networks in Pattern Recognition
- Authors: Friedhelm SchwenkerSimone Marinai
- Language: English
- Publisher: Springer London, Limited
- Publish Date: 2008
- Publish Location: Berlin Heidelberg
“Artificial Neural Networks in Pattern Recognition” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) - Congresses - Pattern recognition systems - Artificial intelligence - Pattern perception - Artificial Intelligence (incl. Robotics) - Computer science - Data mining - Computer vision - Optical pattern recognition - Data Mining and Knowledge Discovery - Image Processing and Computer Vision - User Interfaces and Human Computer Interaction - Computation by Abstract Devices
Edition Specifications:
- Pagination: ix, 322
Edition Identifiers:
- The Open Library ID: OL37117831M - OL16931703W
- ISBN-13: 9783540699392
- All ISBNs: 9783540699392
AI-generated Review of “Artificial Neural Networks in Pattern Recognition”:
"Artificial Neural Networks in Pattern Recognition" Description:
Open Data:
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
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