65 search results - page 3 / 13 » Learning a Bi-Stochastic Data Similarity Matrix |
BMCBI
2006
13 years 4 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this paper, we describe a novel speaker adaptation algorithm based on Gaussian mixture weight adaptation. A small number of latent speaker vectors are estimated with non-negati...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
We introduce an algorithm that, given n objects, learns a similarity matrix over all n2 pairs, from crowdsourced data alone. The algorithm samples responses to adaptively chosen t...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...