Search for dissertations about: "Hierarchical task networks"
Showing result 1 - 5 of 13 swedish dissertations containing the words Hierarchical task networks.
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1. Exploring Biologically-Inspired Interactive Networks for Object Recognition
Abstract : This thesis deals with biologically-inspired interactive neural networks for the task of object recognition. Such networks offer an interesting alternative approach to traditional image processing techniques. Although the networks are very powerful classification tools, they are difficult to handle due to their bidirectional interactivity. READ MORE
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2. Applications of Diversity and the Self-Attention Mechanism in Neural Networks
Abstract : This thesis covers three contributions in applications of neural networks. The first is related to diversity and ensemble learning, while the other two cover novel applications of the self-attention mechanism. An important aspect of training a neural network is the choice of objective function. READ MORE
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3. Action in Mind : A Neural Network Approach to Action Recognition and Segmentation
Abstract : Recognizing and categorizing human actions is an important task with applications in various fields such as human-robot interaction, video analysis, surveillance, video retrieval, health care system and entertainment industry.This thesis presents a novel computational approach for human action recognition through different implementations of multi-layer architectures based on artificial neural networks. READ MORE
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4. Convolutional Network Representation for Visual Recognition
Abstract : Image representation is a key component in visual recognition systems. In visual recognition problem, the solution or the model should be able to learn and infer the quality of certain visual semantics in the image. READ MORE
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5. Computational models for intent recognition in robotic systems
Abstract : The ability to infer and mediate intentions has been recognized as a crucial task in recent robotics research, where it is agreed that robots are required to be equipped with intentional mechanisms in order to participate in collaborative tasks with humans.Reasoning about - or rather, perceiving - intentions enables robots to infer what other agents are doing, to communicate what are their plans, or to take proactive decisions. READ MORE