Competitive Learning: Fundamentals and Applications for Reinforcement Learning through Competition

Artificial Neural Networks: Fundamentals and Applications for Decoding the Mysteries of Neural Computation

Automatic Target Recognition: Fundamentals and Applications

Support Vector Machine: Fundamentals and Applications

Decision Theory: Fundamentals and Applications

Hierarchical Control System: Fundamentals and Applications

Automatic Number Plate Recognition: Fundamentals and Applications

Subsumption Architecture: Fundamentals and Applications for Behavior Based Robotics and Reactive Control

Eigenface: Exploring the Depths of Visual Recognition with Eigenface

Computer Animation: Exploring the Intersection of Computer Animation and Computer Vision

Question Answering: Fundamentals and Applications

Narrow Artificial Intelligence: Fundamentals and Applications

Evolutionary Robotics: Fundamentals and Applications

Convolutional Neural Networks: Fundamentals and Applications for Analyzing Visual Imagery

Kalman Filters: Fundamentals and Applications

Cumulative Distribution Function: A Mathematical Approach to Probabilistic Modeling in Robotics

Artificial Intelligence Vehicle: Fundamentals and Applications

Bayesian Inference: Fundamentals and Applications