Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies: Advancing Technologies

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Mago, Vijay Kumar
IGI Global, Dec 31, 2011 - Computers - 786 pages
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The need for intelligent machines in areas such as medical diagnostics, biometric security systems, and image processing motivates researchers to develop and explore new techniques, algorithms, and applications in this evolving field.

Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems. Through its discussions of advances in and applications of pattern recognition technologies and artificial intelligence, this reference highlights core concepts in biometric imagery, feature recognition, and other related fields, along with their applicability.

 

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Contents

From Object Recognition to Object Localization
1
A MultiLinear Statistical Method for Discriminant Analysis of 2D Frontal Face Images
18
Orthogonal Image Moment Invariants
34
Certain and Uncertain Triangulation in Multiple Camera Vision Systems via LMIs
53
Camera Calibration with 1D Objects
65
Object Segmentation Based on a Nonparametric Snake with Motion Prediction in Video
86
Analysis of Face Space for Recognition using IntervalValued Subspace Technique
108
Object Recognition with a Limited Database Using Shape Space Theory
128
Classification with AxisAligned Rectangular Boundaries
355
ICA as Pattern Recognition Technique for Gesture Identification
367
Fuzzy Methods of MultipleCriteria Evaluation and Their Software Implementation
388
Realizing Interval Type2 Fuzzy Systems with Type1 Fuzzy Systems
412
Comparative Analysis of Random Forests with Statistical and Machine Learning Methods in Predicting FaultProne Classes
428
Neural Networks
450
A New Optimization Approach to Clustering Fuzzy Data for Type2 Fuzzy System Modeling
499
Estimation of MIMO Wireless Channels Using Artificial Neural Networks
509

Efficient Iris Identification with Improved Segmentation Techniques
148
Color Image Segmentation of Endoscopic and Microscopic Images for Abnormality Detection in Esophagus
165
Adaptive Face Recognition of Partially Visible Faces
194
Facial Muscle Activity Patterns for Recognition of Utterances in Native and Foreign Language
212
Feature Set Reduction in Rotation Invariant CBIR Using DualTree Complex Wavelet Transform
232
Devnagari Script Recognition
249
Corner Detection Using Fuzzy Principles
270
Eye Detection Using Color Haar Features and Efficient Support Vector Machine
286
Emotion Recognition from Facial Expression and Electroencephalogram Signals
310
Detecting Eyes and Lips Using Neural Networks and SURF Features
338
A Novel 3D Approach for Patient Schedule Using MultiAgent Coordination
544
A Fuzzy Approach to Disaster Modeling
564
Fuzzy Cognitive Map Reasoning Mechanism for Handling Uncertainty and Missing Data
583
On the Use of Fuzzy Logic in Electronic Marketplaces
609
A NeuroFuzzy Expert System Trained by Particle Swarm Optimization for Stock Price Prediction
633
Hand Tremor Prediction and Classification Using Electromyogram Signals to Control NeuroMotor Instability
651
Compilation of References
674
About the Contributors
732
Index
748
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About the author (2011)

Vijay Kumar Mago received PhD in Computer Science from Panjab University, India in 2010. In January 2011, he joined The Modelling of Complex Social Systems (MoCSSy) program, The IRMACS Centre, Simon Fraser University, Canada as postdoctoral fellow. His research interests include decision making in multi-agent environment, probabilistic networks, neural networks, and fuzzy logic based expert systems. He has served on the program committees of many international conferences and workshops. He is also associated with various international journals as reviewer and as an associate editor with Journal of Intelligent Systems.

Nitin Bhatia received his Graduation in Computer Applications in 2001, from Guru Nanak Dev University, India. He is currently working towards his PhD from Punjabi University, India. He is also working as Assistant Professor in the Department of Computer Science, DAV College, India. He has fifteen research papers to his credit and has published in Pattern Recognition journal and various ACM and IEEE supported conferences. His areas of interest are pattern recognition, computer vision, and fuzzy logic. He is associated with various international journals as reviewer. [Editor]

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