2914 search results - page 89 / 583 » Learning and Inference with Constraints |
CIKM
2010
Springer
13 years 7 months ago
2010
Springer
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
NIPS
1990
13 years 10 months ago
1990
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
DAGM
2006
Springer
14 years 19 days ago
2006
Springer
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...