576 search results - page 32 / 116 » Structured metric learning for high dimensional problems |
ACL
2012
13 years 3 days ago
2012
We present a joint model for Chinese word segmentation and new word detection. We present high dimensional new features, including word-based features and enriched edge (label-tra...
NPL
2002
14 years 9 months ago
2002
The `kernel approach' has attracted great attention with the development of support vector machine (SVM) and has been studied in a general way. It offers an alternative soluti...
114
click to vote
UAI
1998
14 years 11 months ago
1998
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
ISBI
2008
IEEE
15 years 10 months ago
2008
IEEE
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
A large family of algorithms for dimensionality reduction end with solving a Trace Ratio problem in the form of arg maxW Tr(WT SpW)/Tr(WT SlW)1 , which is generally transformed in...