83 search results - page 4 / 17 » Sigma-delta learning for super-resolution independent compon... |
SSPR
2004
Springer
13 years 11 months ago
2004
Springer
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
ACML
2009
Springer
14 years 5 days ago
2009
Springer
Abstract. Topic models are a discrete analogue to principle component analysis and independent component analysis that model topic at the word level within a document. They have ma...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
JMLR
2008
13 years 5 months ago
2008
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
NIPS
2008
13 years 7 months ago
2008
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...