1547 search results - page 64 / 310 » Learning a Classification Model for Segmentation |
CORR
2010
Springer
13 years 4 months ago
2010
Springer
In prediction with expert advice the goal is to design online prediction algorithms that achieve small regret (additional loss on the whole data) compared to a reference scheme. I...
NECO
2008
13 years 9 months ago
2008
The perceptron (also referred to as McCulloch-Pitts neuron, or linear threshold gate) is commonly used as a simplified model for the discrimination and learning capability of a bi...
TNN
2008
13 years 9 months ago
2008
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...
RIVF
2008
13 years 10 months ago
2008
The classification image into one of several categories is a problem arisen naturally under a wide range of circumstances. In this paper, we present a novel unsupervised model for ...
ACL
2004
13 years 10 months ago
2004
This paper presents a Chinese word segmentation system which can adapt to different domains and standards. We first present a statistical framework where domain-specific words are...