Sequential Spectral Learning to Hash with Multiple Representations
- 1 January 2012
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Semi-supervised Discriminant HashingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Composite hashing with multiple information sourcesPublished by Association for Computing Machinery (ACM) ,2011
- Iterative quantization: A procrustean approach to learning binary codesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Compact hashing with joint optimization of search accuracy and timePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Semi-supervised hashing for scalable image retrievalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Small codes and large image databases for recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004
- Locality-sensitive hashing scheme based on p-stable distributionsPublished by Association for Computing Machinery (ACM) ,2004
- Modeling the Shape of the Scene: A Holistic Representation of the Spatial EnvelopeInternational Journal of Computer Vision, 2001
- An Algorithm for Finding Best Matches in Logarithmic Expected TimeACM Transactions on Mathematical Software, 1977