118 search results - page 14 / 24 » Unlabeled data improves word prediction |
104
Voted
CHI
2008
ACM
16 years 2 months ago
2008
ACM
This paper reports on work-in-progress to better understand how users visually interact with hierarchically organized semantic information. Experimental reaction time and eye move...
150
Voted
ICCV
2007
IEEE
15 years 8 months ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
94
Voted
ACL
2009
14 years 11 months ago
2009
Supervised sequence-labeling systems in natural language processing often suffer from data sparsity because they use word types as features in their prediction tasks. Consequently...
121
Voted
PRL
2010
15 years 8 days ago
2010
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
96
Voted
PKDD
2007
Springer
15 years 8 months ago
2007
Springer
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...