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Tez: Deep Learning of Representations and its Application to Computer Vision

The goal of this thesis is to present a few small steps along the road to solving general artificial intelligence. This is a thesis by articles containing four articles. Each of these articles presents a new method for performing perceptual inference using machine learning and deep architectures. Each of these papers demonstrates the utility of the proposed method in the context of a computer vision task. The methods are more generally applicable and in some cases have been applied to other kinds of tasks, but this thesis does not explore such applications.