54 search results - page 1 / 11 » Exploiting Feature Covariance in High-Dimensional Online Lea... |
JMLR
2010
12 years 11 months ago
2010
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
APPINF
2003
13 years 6 months ago
2003
This paper reviews some attempts that exploit a phenomenon, also known as motion parallax, to estimate the distance of closest approach of a moving object. Despite their success, ...
ACL
2012
11 years 7 months 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...
UAI
2008
13 years 6 months ago
2008
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Linear discriminant analysis (LDA) has been an active topic of research during the last century. However, the existing algorithms have several limitations when applied to visual d...