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Local learning for visual robotic systems

In this thesis a new supervised function approximation technique called Hierarchical Network of Locally Arranged Models is proposed to aid the development of learning-based visual robotic systems. In a coherent framework the new approach offers various means to create modular solutions to learning problems....