Sciweavers

10 search results - page 1 / 2
» A fast approximate algorithm for large-scale Latent Semantic...
Sort
View
SDM
2009
SIAM
140views Data Mining» more  SDM 2009»
14 years 2 months ago
Straightforward Feature Selection for Scalable Latent Semantic Indexing.
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...
Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen
ICDIM
2008
IEEE
13 years 11 months ago
A fast approximate algorithm for large-scale Latent Semantic Indexing
Latent Semantic Indexing (LSI) is an effective method to discover the underlying semantic structure of data. It has numerous applications in information retrieval and data mining....
Dell Zhang, Zheng Zhu
WECWIS
2007
IEEE
135views ECommerce» more  WECWIS 2007»
13 years 11 months ago
Large Scale Web Service Discovery and Composition using High Performance In-Memory Indexing
With the growing number and ubiquitous usage of Web services throughout the service-oriented community, the need to find service descriptions in a given repository, as well as co...
Lukasz Juszczyk, Anton Michlmayr, Christian Platze...
SIGIR
2006
ACM
13 years 11 months ago
Tensor space model for document analysis
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...
Deng Cai, Xiaofei He, Jiawei Han
CSDA
2008
128views more  CSDA 2008»
13 years 5 months ago
On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing
Non-negative Matrix Factorization (NMF) and Probabilistic Latent Semantic Indexing (PLSI) have been successfully applied to document clustering recently. In this paper, we show th...
Chris H. Q. Ding, Tao Li, Wei Peng