1991 search results - page 100 / 399 » Small Models of Large Machines |
ICB
2009
Springer
15 years 4 months ago
2009
Springer
Local Binary Pattern (LBP) histograms have attained much attention in face image analysis. They have been successfully used in face detection, recognition, verification, facial ex...
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
ICTAI
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper we present how to estimate a continuous space Language Model with a Neural Network to be used in a Statistical Machine Translation system. We report results for an I...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
We propose an omnivariate decision tree architecture which contains univariate, multivariate linear or nonlinear nodes, matching the complexity of the node to the complexity of the...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...