74 search results - page 4 / 15 » Learning sparse metrics via linear programming |
ECML
2007
Springer
13 years 11 months ago
2007
Springer
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
COLING
2010
13 years 19 days ago
2010
We present a novel Evaluation Metric for Morphological Analysis (EMMA) that is both linguistically appealing and empirically sound. EMMA uses a graphbased assignment algorithm, op...
KDD
2006
ACM
14 years 6 months ago
2006
ACM
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
JMLR
2011
13 years 18 days ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...