Learned versus Hand-Designed Feature Representations for 3d Agglomeration

20 Dec 2013John A. BogovicGary B. HuangViren Jain

For image recognition and labeling tasks, recent results suggest that machine learning methods that rely on manually specified feature representations may be outperformed by methods that automatically derive feature representations based on the data. Yet for problems that involve analysis of 3d objects, such as mesh segmentation, shape retrieval, or neuron fragment agglomeration, there remains a strong reliance on hand-designed feature descriptors... (read more)

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