363 search results - page 32 / 73 » GraphLab: A New Framework for Parallel Machine Learning |
ICAS
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract—Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing a...
CVPR
2012
IEEE
12 years 25 days ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...