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CORR
2007
Springer
164views Education» more  CORR 2007»
13 years 9 months ago
Consistency of the group Lasso and multiple kernel learning
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
Francis Bach
CORR
2012
Springer
183views Education» more  CORR 2012»
12 years 5 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
CORR
2010
Springer
183views Education» more  CORR 2010»
13 years 8 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn
CVPR
1997
IEEE
14 years 1 months ago
Learning bilinear models for two-factor problems in vision
In many vision problems, we want to infer two (or more) hidden factors which interact to produce our observations. We may want to disentangle illuminant and object colors in color...
William T. Freeman, Joshua B. Tenenbaum
ICALT
2008
IEEE
14 years 4 months ago
Moving Towards Life-Long User Modeling
User Modeling is the core component for the majority of personalization services. It has become an important factor in the effort to personalise a diversity of web resources accor...
Demetris Kyriacou, Hugh C. Davis