20 search results - page 1 / 4 » GSML: A Unified Framework for Sparse Metric Learning |
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
AMFG
2007
IEEE
13 years 9 months ago
2007
IEEE
ICA
2010
Springer
13 years 5 months ago
2010
Springer
SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...
ICDM
2007
IEEE
13 years 9 months ago
2007
IEEE
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Distance metric learning and nonlinear dimensionality reduction are two interesting and active topics in recent years. However, the connection between them is not thoroughly studi...