Laplacian co-hashing of terms and documents

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5993 LNCS, Issue , 2010, Pages 577-580

  Zhang, Dell ^a   Wang, Jun ^b   Cai, Deng ^c   Lu, Jinsong ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL; LAPLACE TRANSFORMS; SEMANTICS;

LAPLACIANS; NOVEL ALGORITHM; SEMANTIC SIMILARITY; SIMILARITY SEARCH;

HAMMING DISTANCE;

EID: 77952306487     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12275-0_51     Document Type: Conference Paper

References (5)

1. Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)
2. Salakhutdinov, R., Hinton, G.: Semantic hashing. International Journal of Approximate Reasoning 50(7), 969-978 (2009)
3. Weiss, Y., Torralba, A.B., Fergus, R.: Spectral hashing. In: Proceedings of NIPS 2008, Vancouver, Canada, pp. 1753-1760 (2008)
4. Dhillon, I.S.: Co-clustering documents and words using bipartite spectral graph partitioning. In: Proceedings of KDD 2001, San Francisco, CA, USA, pp. 269-274 (2001)
5. Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15(6), 1373-1396 (2003)