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ORCIDANNPR 2014: Montreal, QC, Canada
- Neamat El Gayar
, Friedhelm Schwenker, Cheng Suen:
Artificial Neural Networks in Pattern Recognition - 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014. Proceedings. Lecture Notes in Computer Science 8774, Springer 2014, ISBN 978-3-319-11655-6
Invited Paper
- Zhi-Hua Zhou:
Large Margin Distribution Learning. 1-11
Learning Algorithms and Architectures
- Hazem M. Abbas:
A Decorrelation Approach for Pruning of Multilayer Perceptron Networks. 12-22 - Mohamed Farouk Abdel Hady, Abubakrelsedik Karali, Eslam Kamal, Rania Ibrahim:
Unsupervised Active Learning of CRF Model for Cross-Lingual Named Entity Recognition. 23-34 - Shigeo Abe:
Incremental Feature Selection by Block Addition and Block Deletion Using Least Squares SVRs. 35-46 - Alexander V. Bernstein, Alexander P. Kuleshov:
Low-Dimensional Data Representation in Data Analysis. 47-58 - Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Analyzing Dynamic Ensemble Selection Techniques Using Dissimilarity Analysis. 59-70 - Elise Epaillard, Nizar Bouguila:
Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling. 71-82 - Markus Kächele, Patrick Thiam, Günther Palm, Friedhelm Schwenker:
Majority-Class Aware Support Vector Domain Oversampling for Imbalanced Classification Problems. 83-92 - Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya:
Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data. 93-104 - Christophe Pagano, Eric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli:
Dynamic Weighted Fusion of Adaptive Classifier Ensembles Based on Changing Data Streams. 105-116 - Kaspar Riesen, Andreas Fischer, Horst Bunke:
Combining Bipartite Graph Matching and Beam Search for Graph Edit Distance Approximation. 117-128 - Kaspar Riesen, Andreas Fischer, Horst Bunke:
Computing Upper and Lower Bounds of Graph Edit Distance in Cubic Time. 129-140 - Florian Schmid, Ludwig Lausser, Hans A. Kestler:
Linear Contrast Classifiers in High-Dimensional Spaces. 141-152 - Friedhelm Schwenker, Markus Frey, Michael Glodek, Markus Kächele, Sascha Meudt, Martin Schels, Miriam Schmidt:
A New Multi-class Fuzzy Support Vector Machine Algorithm. 153-164 - Patrick Thiam, Viktor Kessler, Friedhelm Schwenker:
A Reinforcement Learning Algorithm to Train a Tetris Playing Agent. 165-170 - Stephan Tschechne, Roman Sailer, Heiko Neumann:
Bio-Inspired Optic Flow from Event-Based Neuromorphic Sensor Input. 171-182
Applications
- Maryam Ayat, Michael Domaratzki:
Prediction of Insertion-Site Preferences of Transposons Using Support Vector Machines and Artificial Neural Networks. 183-192 - Sukalpa Chanda, Guoping Bu, Hong Guan, Jun Jo, Umapada Pal, Yew-Chaye Loo, Michael Blumenstein:
Automatic Bridge Crack Detection - A Texture Analysis-Based Approach. 193-203 - Bo-Yuan Feng, Mingwu Ren, Xu-Yao Zhang, Ching Y. Suen:
Part-Based High Accuracy Recognition of Serial Numbers in Bank Notes. 204-215 - Mehdi Habibzadeh, Adam Krzyzak, Thomas Fevens:
Comparative Study of Feature Selection for White Blood Cell Differential Counts in Low Resolution Images. 216-227 - Amani T. Jamal, Nicola Nobile, Ching Y. Suen:
End-Shape Recognition for Arabic Handwritten Text Segmentation. 228-239 - Salim Lahmiri:
Intelligent Ensemble Systems for Modeling NASDAQ Microstructure: A Comparative Study. 240-251 - Hongjun Li, Nicola Nobile, Ching Y. Suen:
Face Recognition Based on Discriminative Dictionary with Multilevel Feature Fusion. 252-263 - Ahmed Talat Sahlol, Ching Y. Suen, Mohammed R. Elbasyoni, Abdelhay Ahmed Sallam:
Investigating of Preprocessing Techniques and Novel Features in Recognition of Handwritten Arabic Characters. 264-276 - Rana Salaheldin, Mohamed ElHelw, Neamat El Gayar:
A Time Series Classification Approach for Motion Analysis Using Ensembles in Ubiquitous Healthcare Systems. 277-288
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