1351 search results - page 23 / 271 » Learning from compressed observations |
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Structural semantics are fundamental to understanding both natural and man-made objects from languages to buildings. They are manifested as repeated structures or patterns and are...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We present an intuitive scheme for lossy color-image compression: Use the color information from a few representative pixels to learn a model which predicts color on the rest of t...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...
ICANN
2009
Springer
14 years 19 hour ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
NIPS
2004
13 years 8 months ago
2004
Multiple realizations of continuous-valued time series from a stochastic process often contain systematic variations in rate and amplitude. To leverage the information contained i...