10 search results - page 2 / 2 » A fast approximate algorithm for large-scale Latent Semantic... |
DEXA
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. Latent Semantic Indexing(LSI) has been proved to be effective to capture the semantic structure of document collections. It is widely used in content-based text retrieval...
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
In Latent Semantic Indexing (LSI), a collection of documents is often pre-processed to form a sparse term-document matrix, followed by a computation of a low-rank approximation to...
CIKM
2007
Springer
13 years 11 months ago
2007
Springer
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
KDD
2010
ACM
13 years 3 months ago
2010
ACM
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...