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123
Voted
JMLR
2010
14 years 7 months ago
2010
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
83
Voted
ACL
2007
15 years 2 months ago
2007
We propose a novel approach to crosslingual language model (LM) adaptation based on bilingual Latent Semantic Analysis (bLSA). A bLSA model is introduced which enables latent topi...
106
Voted
ICASSP
2010
IEEE
15 years 28 days ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
129
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JMLR
2002
15 years 12 days ago
2002
Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In many of these theoretical stud...
112
Voted
ICIP
2001
IEEE
16 years 2 months ago
2001
IEEE
Large margin classifiers have demonstrated their advantages in many visual learning tasks, and have attracted much attention in vision and image processing communities. In this pa...