IPM
2006
14 years 24 days ago
2006
In this paper we present a theoretical model for understanding the performance of Latent Semantic Indexing (LSI) search and retrieval applications. Many models for understanding L...
IJCV
2006
14 years 24 days ago
2006
: Linear subspace analysis (LSA) has become rather ubiquitous in a wide range of problems arising in pattern recognition and computer vision. The essence of these approaches is tha...
IJCSA
2006
14 years 24 days ago
2006
In this paper we examine the use of a matrix factorization technique called Singular Value Decomposition (SVD) along with demographic information
COMPUTING
2006
14 years 25 days ago
2006
The ULV decomposition (ULVD) is an important member of a class of rank-revealing two-sided orthogonal decompositions used to approximate the singular value decomposition (SVD). Th...
BMCBI
2010
14 years 28 days ago
2010
Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...
ICA
2010
Springer
14 years 1 months ago
2010
Springer
In this work we present a method for the estimation of a rank-one pattern living in two heterogeneous spaces, when observed through a mixture in multiple observation sets. Using a ...
NIPS
1997
14 years 2 months ago
1997
Singular value decomposition (SVD) can be viewed as a method for unsupervised training of a network that associates two classes of events reciprocally by linear connections throug...
CAINE
2001
14 years 2 months ago
2001
In this paper, a new method for the approximation of discrete time state-affine systems is proposed. The method is based on the diagonalization of proposed generalized controllabi...
EACL
2006
ACL Anthology
14 years 2 months ago
2006
ACL Anthology
An algorithm based on the Generalized Hebbian Algorithm is described that allows the singular value decomposition of a dataset to be learned based on single observation pairs pres...
CLA
2004
14 years 2 months ago
2004
Abstract. Latent semantic indexing (LSI) is an application of numerical method called singular value decomposition (SVD), which discovers latent semantic in documents by creating c...