1547 search results - page 57 / 310 » Learning a Classification Model for Segmentation |
148
Voted
ACL
2012
13 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...
167
Voted
EMMCVPR
2011
Springer
14 years 4 months ago
2011
Springer
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
153
Voted
ICIP
2009
IEEE
15 years 2 months ago
2009
IEEE
In this paper, a novel two-tier Bayesian based method is proposed for hair segmentation. In the first tier, we construct a Bayesian model by integrating hair occurrence prior prob...
117
Voted
CHI
2010
ACM
15 years 11 months ago
2010
ACM
End-user interactive concept learning is a technique for interacting with large unstructured datasets, requiring insights from both human-computer interaction and machine learning...
151
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AIR
2006
15 years 4 months ago
2006
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...