2013
ICCV
ICCV 2013
Elastic Net Constraints for Shape Matching
Abstract
We consider a parametrized relaxation of the widely adopted quadratic assignment problem (QAP) formulation for minimum distortion correspondence between deformable shapes. In order to control the accuracy/sparsity trade-off we introduce a weighting parameter on the combination of two existing relaxations, namely spectral and
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Conference Pioneer
— ICCV 2013
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Interdisciplinary Bridge
— Computer Science and Computer Vision and Machine Learning and Mathematics & Optimization
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Hot Topic Early Bird
— graph matching
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio