Guest Editorial

Abstract

Computational Vision and Machine Learning have become synergistic fields of research. Modern machine learning techniques have improved the state of the art in computer vision and catalized re-thinking of key problems, such as recognition and tracking. In turn, vision has broadened the scope of machine learning, offering rich new challenges and highlighting the importance of representations.

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