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ICPR
2008
IEEE
16 years 5 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
CSL
2004
Springer
15 years 4 months ago
Contemporaneous text as side-information in statistical language modeling
We propose new methods to exploit contemporaneous text, such as on-line news articles, to improve language models for automatic speech recognition and other natural language proce...
Sanjeev Khudanpur, Woosung Kim
ICASSP
2011
IEEE
14 years 8 months ago
Lattice-based unsupervised acoustic model training
Unsupervised acoustic model training has been successfully used to improve the performance of automatic speech recognition systems when only a small amount of manually transcribed...
Thiago Fraga-Silva, Jean-Luc Gauvain, Lori Lamel
BMCBI
2006
146views more  BMCBI 2006»
15 years 4 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
ANLP
1992
68views more  ANLP 1992»
15 years 5 months ago
Evaluating Parsing Strategies Using Standardized Parse Files
The availability of large files of manuallyreviewed parse trees from the University of Pennsylvania "tree bank", along with a program for comparing system-generated pars...
Ralph Grishman, Catherine Macleod, John Sterling