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» Intelligent Selection of Language Model Training Data
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CVPR
2011
IEEE
15 years 1 months ago
Saliency Estimation Using a Non-Parametric Low-Level Vision Model
Many successful models for predicting attention in a scene involve three main steps: convolution with a set of filters, a center-surround mechanism and spatial pooling to constru...
Naila Murray, Maria Vanrell, Xavier Otazu, C. Alej...
IEICET
2008
136views more  IEICET 2008»
15 years 4 months ago
Bilingual Cluster Based Models for Statistical Machine Translation
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Hirofumi Yamamoto, Eiichiro Sumita
IAT
2006
IEEE
15 years 10 months ago
Retaining Semantics in Relational Databases by Mapping them to RDF
Across various domains, the relational model for databases is employed extensively for the purpose of storing, managing and retrieving data. The translation, however, of data mode...
Madhav Krishna
IJON
2000
105views more  IJON 2000»
15 years 4 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
AAAI
2008
15 years 6 months ago
Zero-data Learning of New Tasks
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
Hugo Larochelle, Dumitru Erhan, Yoshua Bengio