172 search results - page 16 / 35 » Learning to Predict Code-Switching Points |
NIPS
2004
13 years 8 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
ALT
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Assume we are given a sample of points from some underlying distribution which contains several distinct clusters. Our goal is to construct a neighborhood graph on the sa...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
DIS
2010
Springer
13 years 5 months ago
2010
Springer
Quantitative structure-activity relationships (QSARs) are regression models relating chemical structure to biological activity. Such models allow to make predictions for toxicologi...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Given the facial points extracted from an image of a face in an arbitrary pose, the goal of facial-point-based headpose normalization is to obtain the corresponding facial points ...