174 search results - page 14 / 35 » A Conditional Random Field for Multiple-Instance Learning |
22
Voted
AAAI
2008
13 years 10 months ago
2008
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
JMLR
2008
13 years 7 months ago
2008
Existing template-independent web data extraction approaches adopt highly ineffective decoupled strategies--attempting to do data record detection and attribute labeling in two se...
IJCV
2006
13 years 7 months ago
2006
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
NIPS
2001
13 years 9 months ago
2001
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...