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ORCIDArtificial Intelligence and Pattern Recognition 2008: Orlando, Florida, USA
- Bhanu Prasad, Pawan Sinha, Ashwin Ram, Etienne E. Kerre:
International Conference on Artificial Intelligence and Pattern Recognition, AIPR-08, Orlando, Florida, USA, July 7-10, 2008. ISRST 2008, ISBN 978-1-60651-000-1 - Yongzhong Xing, Xiaobei Wu, Zhiliang Xu:
Multiclass Least Squares Reproducing Kernel Support Vector Machines. Artificial Intelligence and Pattern Recognition 2008: 1-4 - S. K. Hasnain, Pervez Akhtar:
Recognition of Urdu Language Spoken Numbers with Neural Networks. Artificial Intelligence and Pattern Recognition 2008: 5-12 - Yas Abbas Alsultanny:
Color Image Segmentation Based on 2D Symlet Wavelet Transform. Artificial Intelligence and Pattern Recognition 2008: 13-20 - T. N. Nagabhushan, S. K. Padma, Bhanu Prasad:
Generalization of Adaptive Incremental Learning RBF Network Trained with Significant Patterns. Artificial Intelligence and Pattern Recognition 2008: 21-26 - T. N. Nagabhushan, S. K. Padma, Bhanu Prasad:
On the Performance Analysis of Resource Allocating Network Trained with Significant Patterns. Artificial Intelligence and Pattern Recognition 2008: 27-31 - Hans-Dieter Burkhard, Abdel-Badeeh M. Salem, Bassant El Bagoury:
Case-Based Motion Controller for Humanoid Robot. Artificial Intelligence and Pattern Recognition 2008: 32-37 - Dongguang Wang, Zhichao Peng, Qingxian Que:
Base improved BP network mapping "semantic gap". Artificial Intelligence and Pattern Recognition 2008: 38-42 - Vipula Singh, Navin Rajpal, K. Srikanta Murthy:
An algorithmic approach based on Fuzzy Vector Quantization and Wavelet decomposition for Image Compression. Artificial Intelligence and Pattern Recognition 2008: 43-50 - Fériel Ben Fraj, Chiraz Ben Othmane Zribi, Mohamed Ben Ahmed:
Ensemble Classification for Parsing Arabic Texts: A Theoretical Approach. Artificial Intelligence and Pattern Recognition 2008: 51-57 - P. R. Andronov, S. A. Arutyunyan, V. P. Khramikhin, O. I. Timofeev:
The Universal Table of Algorithms of AI and Octava Computer. Artificial Intelligence and Pattern Recognition 2008: 58-62 - Uri Shaham, Yael Edan:
Classification using Normalized Compression Distance. Artificial Intelligence and Pattern Recognition 2008: 63-69 - Ketan Kotecha, Apurva Shah:
Ant Colony Optimization based Dynamic Scheduling Algorithm for Real-Time Operating Systems. Artificial Intelligence and Pattern Recognition 2008: 70-74 - Fatma-Zohra Chelali, Amar Djeradi:
Real time face recognition from video stream using eigen faces. Artificial Intelligence and Pattern Recognition 2008: 75-80 - Praseeda Lekshmi, M. Sasikumar, Divya S. Vidyadharan:
Feature based and PCA based Face Recognition. Artificial Intelligence and Pattern Recognition 2008: 81-88 - G. Jagadeesh Kumar, G. Vijay Kumar:
Biological Early Brain Cancer Detection Using Artificial Neural Networks. Artificial Intelligence and Pattern Recognition 2008: 89-93 - Chi-Chun Huang, Hsin-Yun Chang:
A Novel Grey-based Feature Selection Method with One-Feature Reverse Operation. Artificial Intelligence and Pattern Recognition 2008: 94-101 - M. Ramulu, S. Anand Kumar, D. V. R. Murty:
Development of Expert System for Process Pump Selection. Artificial Intelligence and Pattern Recognition 2008: 102-109 - Dipti Shah, Apurva Shah:
Fuzzy Base Management System for Color Name Identification. Artificial Intelligence and Pattern Recognition 2008: 110-112 - Marcel Jirina, Marcel Jirina Jr.:
Probability Density Estimation by Decomposition of Correlation Integral. Artificial Intelligence and Pattern Recognition 2008: 113-119 - Anjan Sarkar, Ashish Vulimiri, Shantanu Bose, Suman Paul, Shibendu S. Ray:
Unsupervised Hyperspectral Image Analysis with Projection Pursuit and MRF Segmentation Approach. Artificial Intelligence and Pattern Recognition 2008: 120-127 - Rhoda Baggs, Dan E. Tamir:
Image Registration Using Dynamic Space Warping. Artificial Intelligence and Pattern Recognition 2008: 128-135 - Mateusz Skoczewski, Hitoshi Maekawa:
NELFD: Neuroevolved Descriptor for Local Image Features. Artificial Intelligence and Pattern Recognition 2008: 136-139 - Krishna Moorthi Makkithaya, N. V. Subba Reddy, U. Dinesh Acharya:
Improved C-Fuzzy Decision Tree with Controllable Membership Characteristics for Intrusion Detection. Artificial Intelligence and Pattern Recognition 2008: 140-145 - Arian Maleki, Nima Asgharbeygi:
A Coherent and Heterogeneous Approach to Clustering. Artificial Intelligence and Pattern Recognition 2008: 146-152 - Istvan Elek:
Principles of Digital Evolution Machines. Artificial Intelligence and Pattern Recognition 2008: 153-158 - Atulya Velivelli, Thomas S. Huang:
Gaussian Process Based Dual Latent Function Approach to Ordinal Regression. Artificial Intelligence and Pattern Recognition 2008: 159-169 - Zygmunt Wróbel, Aleksander Lamza:
The Clusterization Process in an Adaptive Method of Image Segmentation. Artificial Intelligence and Pattern Recognition 2008: 170-173 - Yuchun Tang, Sven Krasser, Dmitri Alperovitch, Paul Judge:
Spam Sender Detection with Classification Modeling on Highly Imbalanced Mail Server Behavior Data. Artificial Intelligence and Pattern Recognition 2008: 174-180 - Seyyed Mohammad Amin Salehizadeh, Peyman Yadmellat, Ahmad R. Pourshoghi, Mohamad Javad Aein:
A Hybrid Algorithm for Training Recurrent Fuzzy Neural Network. Artificial Intelligence and Pattern Recognition 2008: 181-186 - Maciej Paszynski:
Parallel Direct Solver for hp Finite Element Method Controlled by Composite Programmable Graph Grammar. Artificial Intelligence and Pattern Recognition 2008: 187-194 - Pedro A. Diaz-Gomez, Dean F. Hougen:
Internal vs. External Parameters in Fitness Functions. Artificial Intelligence and Pattern Recognition 2008: 195-199 - Vijayakumar Maragal Venkatamuni, Darryl N. Davis:
Principles of Artificial Economics in Animal Minds. Artificial Intelligence and Pattern Recognition 2008: 200-207 - Yutaka Shirai:
Evaluation of Facility Layout using DEA and its Verification by Simulation. Artificial Intelligence and Pattern Recognition 2008: 208-213 - Kandarpa Kumar Sarma:
Modified Hybrid Feature Set for Anglo-Assamese Hand Written Numeral Recognition. Artificial Intelligence and Pattern Recognition 2008: 214-218 - Alexander Hasenfuss, Barbara Hammer:
Single Pass Clustering and Classification of Large Dissimilarity Datasets. Artificial Intelligence and Pattern Recognition 2008: 219-223 - Uday Kamath:
Self-Learning Expert Systems using Rule Classifier in Detection Engines. Artificial Intelligence and Pattern Recognition 2008: 224-227 - Hyontai Sug:
Finding Hidden Functional Dependencies in Relations Efficiently. Artificial Intelligence and Pattern Recognition 2008: 228-231 - Porntip Dechpichai, Pamela Davy:
A nonlinear recurrent neural network estimation of conditional mean and variance. Artificial Intelligence and Pattern Recognition 2008: 232-239 - David A. Ostrowski, George Schleis:
Evolving Genetic Programs for Problems with Non-Functional Requirements. Artificial Intelligence and Pattern Recognition 2008: 240-245 - Sadith Weerakkody, Jinsong Zhang, David Roelant, Hao Zhu, Kang Yen:
Handling Data Imperfections in Classification Problems using a Belief Theory Approach. Artificial Intelligence and Pattern Recognition 2008: 246-253 - Sheen-Mok Lee, Hyun-Shu Kim:
Pattern-based Extraction of Causal Relations in Korean. Artificial Intelligence and Pattern Recognition 2008: 254-259 - Peeter Lorents:
Knowledge, Computational Models, Semantic Networks and Concept Maps. Artificial Intelligence and Pattern Recognition 2008: 260-263 - D. Han, H. X. Lee:
Exploration of neuro-fuzzy models in real time flood forecasting. Artificial Intelligence and Pattern Recognition 2008: 264-268 - Joshua Alewo Atah, Gareth Howells:
Score Normalisation of Voice Features for Template Free Biometric Encryption. Artificial Intelligence and Pattern Recognition 2008: 269-272 - Vladimir Kurbalija, Mirjana Ivanovic, Zoran Budimac:
Case-Based Reasoning Framework for Generating Wide-Range Decision Support Systems. Artificial Intelligence and Pattern Recognition 2008: 273-279 - Turgay Temel:
A New Information Theoretic Clustering Algorithm for Robust Unsupervised Classification. Artificial Intelligence and Pattern Recognition 2008: 280-283 - Olcay Kursun:
A Generalization of Shannon's Mutual Information for Improved Feature Selection in Databases Involving Possibly Rare but Well-Predictable Classes. Artificial Intelligence and Pattern Recognition 2008: 284-288 - Deok Hee Nam:
Data Extraction for Pattern Recognition using Preprocessed Multivariate Analysis. Artificial Intelligence and Pattern Recognition 2008: 289-294 - J. L. Bind, P. K. Garg:
Predictive Soil Mapping using Hybridization Scheme of Case Based Reasoning System and Knowledge Based System. Artificial Intelligence and Pattern Recognition 2008: 295-301 - J. L. Bind, Piyush Gupta:
Image Classification using Chip Mining Approach for Remote Sensing Imagery. Artificial Intelligence and Pattern Recognition 2008: 302-307
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