Learning Similarity for Character Recognition and 3D Object Recognition

2007/12/02 by Thomas M. Breuel, Breuel, Thomas M.
Computer Science · #Image Retrieval and Classification Techniques #Advanced Image and Video Retrieval Techniques #Face and Expression Recognition

paper · pdf · doi:10.48550/arxiv.0712.0131

Abstract

I describe an approach to similarity motivated by Bayesian methods. This yields a similarity function that is learnable using a standard Bayesian methods. The relationship of the approach to variable kernel and variable metric methods is discussed. The approach is related to variable kernel Experimental results on character recognition and 3D object recognition are presented..

Citations

• Gradient-based learning applied to document recognition

Related

• View Based Methods can achieve Bayes-Optimal 3D Recognition
• Learning Human-Aligned Representations with Contrastive Learning and Generative Similarity
• Visual Similarity Attention
• Attributable Visual Similarity Learning
• Learning from One and Only One Shot