Was Edwin Hancock's work too theoretical for practical use?
While my work is grounded in mathematical theory, the aim was always to address practical challenges in computer vision and data analysis. The robustness of structural and graph-based methods, their ability to handle ambiguity and variation, makes them highly relevant for real-world applications. Issues like partial occlusion, noise, and deformation are inherent in sensory data. My focus on invariants and probabilistic reasoning aimed to build systems that could reliably perform in these imperfect conditions.
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